Podcasts about Vespa

If you've been scrolling endurance social media and wondering why everyone is suddenly pushing sleds and throwing wall balls, this episode is for you. Coaches April Spilde and Lauren Brown break down the HYROX phenomenon—what it is, why it's growing so fast, and why runners, cyclists, and triathletes are jumping in. We compare HYROX to traditional endurance sports, discuss the stations that shock first‑time athletes, and explain why endurance fitness translates surprisingly well to this hybrid racing format. Plus, Coach Lauren shares what training for her first HYROX Doubles race has taught her about pacing, strength, and durability.This episode of the Grit2Greatness Endurance Podcast is brought to you by Vespa Power. Less sugar. Higher performance. Faster recovery.Vespa Power Endurance helps athletes tap into steady, clean energy by optimizing fat metabolism and reducing reliance on sugar and glycogen. Vespa isn't fuel—it's a metabolic catalyst that helps you stay strong, focused, and durable in training and racing.Visit Home of Vespa Power Products | Optimizing Your Fat Metabolism and use discount code 303endurance20 to save on your order.Grit2Greatness Links & Resources Website: Grit2Greatness Endurance Coaching Facebook: @grit2greatnessendurance Instagram: @g2gendurance Become a Team Member: Getting Started with Grit2Greatness – Google Forms Ambassador Application: https://forms.gle/mQjPbyzjAmmBhM6m9 Subscribe to the Podcast: Grit2Greatness Endurance Podcast on Apple Podcasts

Recalls are supposed to be rare. Lately they feel like a weekly habit, and we're not letting them slide by as background noise. We kick things off by walking through a stack of new automotive recalls and what they mean for real drivers, from incorrect front wheel hub bolts to rollaway risk, seatbelt warning system problems, rear camera failures, airbag inflator concerns, and even driver-assist systems that can hit the brakes when you least expect it. If you care about car safety, reliability, and what to do when the manufacturer says “bring it in,” you'll leave with a clearer checklist for staying ahead of the risk. Then we shift gears into pure car-nerd fun with a sold car roundup game using Hemmings results, because nothing tells the truth like an actual auction sale price. We guess what everything brought at the hammer and react in real time, from a giant 1959 Cadillac Series 75 to a bargain-level '73 Cadillac Calais, an '81 square body Chevy Blazer, a sharp '72 Volvo 1800, and a surprisingly low-priced 2015 Porsche Cayman that makes us ask the only sensible question: what's going on under the surface? We also hit a budget-friendly hot rod, a tiny Vespa 400 “clown car” contender, and a Chrysler Crossfire that proves styling alone doesn't guarantee long-term value. To round it out, we drop into auto history and racing, connecting today's cars to the moments that shaped them: the first Indianapolis 500, early diesel passenger cars, the ahead-of-its-time Chrysler Airflow, and a quick racing calendar with weekend highlights. If you like car recalls, used car auction prices, classic cars, and motorsports all in one place, you'll feel right at home. Subscribe, share this with a car friend, and leave a review, then tell us which car from the price game you'd actually buy and why.Be sure to subscribe for more In Wheel Time Car Talk!The Lupe' Tortilla RestaurantsLupe Tortilla in Katy, Texas Gulf Coast Auto ShieldPaint protection, tint, and more!Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.----  ----- Want more In Wheel Time car talk any time?     In Wheel Time is now available on Audacy!  Just go to Audacy.com/InWheelTime where ever you are.-----   -----Be sure to subscribe on your favorite podcast provider for the next episode of In Wheel Time Podcast and check out our live multiplatform broadcast every Saturday, 10a - 12nCT simulcasting on Audacy, YouTube, Facebook, Twitter, Twitch and InWheelTime.com.In Wheel Time Podcast can be heard on you mobile device from providers such as:Apple Podcasts, Amazon Music Podcast, Spotify, SiriusXM Podcast, iHeartRadio podcast, TuneIn + Alexa, Podcast Addict, Castro, Castbox, YouTube Podcast and more on your mobile device.Follow InWheelTime.com for the latest updates!Twitter: https://twitter.com/InWheelTimeInstagram: https://www.instagram.com/inwheeltime/https://www.youtube.com/inwheeltimehttps://www.Facebook.com/InWheelTimeFor more information about In Wheel Time Podcast, email us at info@inwheeltime.com

A recall can be as small as a bolt and as serious as a roll-away, so we kick things off by sorting real risk from background noise. We talk through a stack of fresh automotive recalls, including incorrect front wheel hub bolts on full-size GM SUVs, a roll-away risk on the 2026 Ford Escape and Lincoln Corsair, Ford Bronco hardtops that may crack and detach, camera and seatbelt warning glitches, and tech that can trigger unexpected braking. We also share what these problems feel like on the road and what questions to ask before you leave the dealer lot. Then it's time for our favorite kind of argument: the Hemmings sold car roundup price-guessing game. We put numbers on everything from a huge 1959 Cadillac Series 75 ($19,950) and a 1973 Cadillac Calais that sells for a shocking $1,700, to an updated 1981 Chevy Blazer ($23,625) and a clean 1972 Volvo 1800 ($21,000). The curveballs keep coming with a 2015 Porsche Cayman that lands at $16,800, a budget-friendly 1932 Chevrolet custom at $5,320, a tiny 1960 Vespa 400 “clown car” at $18,821, and a 2005 Chrysler Crossfire at $9,500. If you love classic cars, collector car values, and auction results, you'll want to play along. We close out with This Week in Auto History and a quick racing calendar: the first Indy 500 in 1911, the Marmon Wasp and its early rearview mirror, the Mercedes-Benz 260D that brought diesel to passenger cars, and the Chrysler Airflow as an aerodynamic swing that was way ahead of its time. Jeff also runs through what to watch next, including IndyCar Detroit Grand Prix, NHRA, NASCAR Nashville, and upcoming Formula One, before we hit one last headline about Chevy using a 1,250 horsepower Corvette ZR1X to blow out giant birthday candles at Indianapolis Motor Speedway. If you enjoyed the laughs and the practical car talk, subscribe on your favorite podcast app, share the show with a fellow gearhead, and leave us a review so more drivers can find us.Be sure to subscribe for more In Wheel Time Car Talk!The Lupe' Tortilla RestaurantsLupe Tortilla in Katy, Texas Gulf Coast Auto ShieldPaint protection, tint, and more!Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.----  ----- Want more In Wheel Time car talk any time?     In Wheel Time is now available on Audacy!  Just go to Audacy.com/InWheelTime where ever you are.-----   -----Be sure to subscribe on your favorite podcast provider for the next episode of In Wheel Time Podcast and check out our live multiplatform broadcast every Saturday, 10a - 12nCT simulcasting on Audacy, YouTube, Facebook, Twitter, Twitch and InWheelTime.com.In Wheel Time Podcast can be heard on you mobile device from providers such as:Apple Podcasts, Amazon Music Podcast, Spotify, SiriusXM Podcast, iHeartRadio podcast, TuneIn + Alexa, Podcast Addict, Castro, Castbox, YouTube Podcast and more on your mobile device.Follow InWheelTime.com for the latest updates!Twitter: https://twitter.com/InWheelTimeInstagram: https://www.instagram.com/inwheeltime/https://www.youtube.com/inwheeltimehttps://www.Facebook.com/InWheelTimeFor more information about In Wheel Time Podcast, email us at info@inwheeltime.com

In Episode #543 of the Grit2Greatness Endurance Podcast, Coaches Rich Soares and April Spilde break down why Boulder is one of the most misunderstood and execution‑heavy races on the IRONMAN 70.3 calendar. This is a thinking athlete's race—where small mistakes stack up fast under altitude, heat, and patience‑testing terrain.We dive into the real reasons athletes DNF at Boulder, including: Overbiking relative to altitude Underfueling when effort feels “easy” Heat and hydration mismanagement Swim anxiety and disrupted breathing Aggressive early run pacing Missed bike lap cutoffs Ignoring early warning signsYou'll learn how to race Boulder with restraint, patience, and intention—so you're still strong when it matters most.We also debut a new fun segment: “Death, Taxes… or DNF?”—calling out the most predictable race‑day mistakes we see every year.If you're racing Boulder 70.3—or any altitude event—this episode is your race‑proofing checklist.This episode is brought to you by Vespa Power Endurance.Vespa Power Endurance helps you tap into steady, clean energy—so you stay strong, focused, and in the zone longer. Vespa is not fuel, but a metabolic catalyst that shifts your body to use more fat and less glycogen.✅ Less sugar✅ Higher performance✅ Faster recoveryVespa comes in CV‑25, Junior, and Concentrate.

Fueling is one of the most misunderstood—and most performance‑limiting—parts of endurance training.In Episode #542 of the Grit2Greatness Endurance Podcast, Coaches Rich Soares and Lauren Brown break down why so many endurance athletes train hard, follow the plan, and still underperform on race day. More often than not, the problem isn't fitness—it's fueling.In this episode, we cover: The most common fueling mistakes endurance athletes make in training and racing Why “eating clean” does not automatically mean fueling well How underfueling quietly sabotages performance, recovery, and long‑term durability Why short‑course racing still punishes poor fueling How to plan fueling instead of reacting when it's already too lateUsing real race‑day examples from supersprint to long‑course events, we connect fueling decisions directly to pacing, performance, injury risk, and consistency—so athletes can stop guessing and start fueling with intention.Whether you're a triathlete, cyclist, runner, or endurance athlete of any kind, this episode will help you understand how to fuel the work you want your body to absorb.

Stand-upcomedian en columnist Michael Van Peel is Star Wars-fan en liet dat zelfs binnensijpelen in zijn vorige show ‘Welcome to the Rebellion!'. Op het podium durft hij politiek al eens op de korrel te nemen. De perfecte gast voor een aflevering over de reeks ‘Andor'. Een buitenbeentje in het universum, met een diep politiek verhaal.‘Andor' is vreemd genoeg geen fan service, en net dat maakt het zo sterk. Het vertelt het verhaal over personage Cassian Andor, in de aanloop naar de spin-off film ‘Rogue One: A Star Wars Story'.We hebben het ook over fondue, een Les Mis-moment en de Freggels. Over Lord of the Rings en feit dat er niemand swipet in Star Wars. Dat vrouwen alles voor het zeggen hebben in het Star Wars-universum. En dat Michael met z'n Vespa per ongeluk op de originele set is beland in Tunesië.

Spencer, who describes himself using a string of expletives that immediately demonetized the video version, is joined by Kevin, who had to leave his house and travel to a third location just to talk about anime. Together we dive into the first two episodes of the legendary show FLCL. Spencer walks Kevin through the absolute chaos of FLCL's opening episodes: a 12-year-old boy named Naota gets run over by a pink-haired woman on a Vespa named Haruko, who then gives him CPR, hits him with a guitar, and somehow ends up living in his house. A robot subsequently bursts out of his head not once but twice, which Spencer connects to themes of adolescence, the absence of his older brother, and a girl named Mamimi who does fire rituals with lighters taped to her head while praying to a video game god. Kevin's primary takeaway is that the whole thing felt like a dream, which Spencer considers an astute observation. We also chat about Spencer's recent Magic: The Gathering defeat (he drafted a great deck and immediately got politically eliminated), briefly cover other anime Spencer has been watching including "Classroom of the Elite" (where the world's smartest student quietly solves all problems forever), and respond to a listener question about CPTSD and protective anger... a topic Spencer navigates with unexpected sincerity before concluding that yes, he probably just accepts injustice instead of getting mad about it. Learn more about your ad choices. Visit megaphone.fm/adchoices

Jackson Boxer and Eduardo “Lalo” Yishima joined us at TAQ to talk about relaunching one of London's original Mexican restaurants into something far more ambitious, produce-led and reflective of modern Mexican cuisine. Jackson explained how the former Taqueria had become trapped trying to compete on cheapness rather than quality, despite having an incredible location and loyal following. The pair discussed how London's understanding of Mexican food has transformed over the last 20 years, with diners now far more educated and excited by authentic flavours, proper tortillas and regional cooking. Bringing Lalo back from Mexico to lead the kitchen allowed them to completely rethink the menu, from nixtamalized heritage corn tortillas to carnitas, tuna tostadas and deeply flavourful salsas that feel genuinely rooted in Mexico while using exceptional British produce.A huge part of the conversation centred around ingredients and the realities of running restaurants in modern London. Jackson spoke passionately about using rare breed pork, Yorkshire grass-fed beef and whole Cornish tuna across the restaurant group, while Lalo described the emotional significance of properly nixtamalized tortillas and imported Mexican chilis. The pair explained how London diners are now sophisticated enough to appreciate bold, complex Mexican flavours and why TAQ's relaunch focused on quality and value rather than racing to the bottom on pricing. Jackson also opened up about the pressures restaurateurs face today — from social media expectations to shrinking margins — while teasing his upcoming Exmouth Market opening, Vespa, where dishes like coal-grilled squid stuffed with pork and prawn boudin will headline the menu.To close, the conversation drifted into travel, comfort food and personal inspirations. Jackson recommended an Italian train journey through Bologna, Florence, Rome and Naples as the ultimate food weekend, while Lalo made a passionate case for Buenos Aires and Argentina's bakery, pizza and wine culture. Their “Go To Hall of Fame” dishes perfectly reflected the emotional core of the episode: Lalo chose his mother's pozole, a deeply nostalgic Mexican soup tied to his childhood, while Jackson described his mother's fruit tarts made with hand-grated frozen butter pastry as one of the greatest things he's ever eaten. Across the episode, what stood out most was the pair's shared belief that food is ultimately about generosity, memory and craft — whether that's a taco, a trompo, a tart or a late-night tortilla folded around cheese and hot sauce.Watch and Subscribe To Our Youtube Videos Here - https://www.youtube.com/@gotofoodOrder Ben's Incredible Book - All You Can Eat - By Clicking Here - https://www.amazon.co.uk/All-You-Can-Eat-British/dp/1805221523Get 2 Months of Blinq For Free - With Code - GOTOBLINQ - https://blinqme.com/Order The Greatest Meat In The Country From HG Walter Here & Have Restaurant Quality Meals From Home - www.hgwalter.com Hosted on Acast. See acast.com/privacy for more information.

In this episode of the Grit2Greatness Endurance Podcast, Coaches April Spilde and Kristen Overton take over the mic to go full dirt-mode on all things XTERRA triathlon.Part 1 breaks down what XTERRA actually is, how it differs from traditional road triathlon, who it's for, and how athletes should start training for off‑road racing — including mountain bike skills, trail running, open‑water swimming, gear choices that matter, and the biggest mistakes new XTERRA athletes make.In Part 2, Kristen flips the script and interviews April as she prepares to race the XTERRA North American Championships, diving into race prep, expectations, mindset, and what success looks like on championship day.The episode wraps with a fun and brutally accurate segment, “Send It or Send Help,” highlighting the many personalities you'll find on an XTERRA start line.Sponsor – Vespa Power Ad Read:Vespa Power Endurance helps athletes tap into steady, clean energy so they can stay strong, focused, and in the zone longer. Vespa is not fuel — it's a metabolic catalyst that helps your body burn more fat and spare glycogen during endurance efforts.Vespa products include CV‑25, Vespa Junior, and Vespa Concentrate — trusted by endurance athletes who want less sugar, higher performance, and faster recovery.

Vector search has risen to become a foundational tool in modern search and retrieval systems, including the RAG pipelines that power many AI applications. However, the demands on retrieval systems are growing more sophisticated, which is revealing the limits of relying on a single vector similarity score. Vespa is a popular open source search and The post Vespa AI and Surpassing the Limits of Vector Search appeared first on Software Engineering Daily.

Vector search has risen to become a foundational tool in modern search and retrieval systems, including the RAG pipelines that power many AI applications. However, the demands on retrieval systems are growing more sophisticated, which is revealing the limits of relying on a single vector similarity score. Vespa is a popular open source search and The post Vespa AI and Surpassing the Limits of Vector Search appeared first on Software Engineering Daily.

Con Eugenio Leone, vicepresidente di ANCI Città dei Motori, pontederese e vespista docLa ricorrenza degli ottant’anni di Vespa celebra un’intuizione industriale che ha rivoluzionato la mobilità post-bellica, trasformando il panorama dei trasporti con un mezzo leggero e universale che ha segnato una svolta rispetto ai canoni motoristici dell'epoca. Questo patrimonio evidenzia il legame indissolubile tra l’innovazione di Pontedera e la storia produttiva italiana, elevando l'ingegno nazionale a icona globale nel mondo dei motori. Tale eredità si proietta oggi nel futuro attraverso comunità digitali e rassegne artistiche, confermando la propria centralità come pilastro intramontabile della cultura motoristica e del settore automotive contemporaneo - sottolinea Eugenio Leone, vicepresidente di ANCI Città dei Motori, pontederese e vespista doc.

En la historia de la industria española hay capítulos que parecen sacados de un guion cinematográfico sobre el éxito y la perseverancia. La historia de Gestamp es, sin duda, uno de ellos. Lo que hoy conocemos como una multinacional tecnológica con más de 40.000 empleados y presencia en los principales mercados del mundo, tiene un origen profundamente humano, arraigado en la austeridad castellana. El Origen: Una oficina, un teléfono y una Vespa Para entender Gestamp, primero debemos entender Gonvarri. Todo comienza en 1958 con la figura de Francisco Riberas Pampliega. En una España que intentaba despertar industrialmente, Riberas Pampliega fundó Gonvarri prácticamente desde la nada. Su equipo inicial era espartano: una oficina alquilada, un solo teléfono y una Vespa para desplazarse. Sin embargo, contaba con algo más valioso: la cultura del esfuerzo, la austeridad y el sacrificio. Aquel emprendedor pertenecía a una generación que no buscaba el éxito rápido, sino la excelencia artesanal y la cercanía obsesiva con el cliente. Lo que empezó como un centro de distribución y transformación de acero, sentó las bases de lo que hoy es un imperio siderúrgico y automotriz. La España de los 50: El caldo de cultivo de la Innovación Recordamos con nostalgia y orgullo la década de los 50 en España. Lejos de la narrativa de que la innovación solo ocurre hoy en Silicon Valley o Shanghái, la España de mitad de siglo fue un hervidero de ingenio: SEAT: Arrancaba con Ortiz Echagüe a la cabeza. ENASA y Pegaso: El lanzamiento de camiones que marcaron una época. Barreiros: El ejemplo de emprendimiento por antonomasia en el motor diésel. El Mundo de las Dos Ruedas: España era una potencia con más de 100 marcas de motos (Montesa, Bultaco, Derbi, OSSA). En este contexto de autarquía, donde importar era casi imposible, el ingenio español floreció por necesidad. De esa misma tierra castellana de donde salieron los hermanos Antolín, surgió la visión de los Riberas. 1997: El Nacimiento de un Tier 1 (Spin-off) La evolución natural del acero llevó a la familia Riberas a entender que la industria nunca es estática. En los años 80, Gonvarri ya estaba consolidada, pero fue en 1997 cuando se produjo el movimiento maestro: la creación de Gestamp Automoción como una spin-off dedicada exclusivamente a los componentes metálicos para el automóvil. Gestamp no nació de cero; nació con el "savoir-faire" acumulado y mediante la adquisición estratégica de compañías como Estampaciones Vizcaya, Metalbages y Estampaciones Sabadell. Esto permitió que la empresa debutara directamente en la "Champions League" del sector, naciendo ya internacionalizada y con una visión de socio tecnológico, no solo de fabricante de piezas. ¿Qué significa ser un "Tier 1"? En la cadena de valor de la automoción, ser un Tier 1 es equivalente a ser un cirujano en un quirófano de alta precisión. Gestamp suministra directamente a la línea de montaje de los fabricantes (OEMs). La responsabilidad es total: bajo el modelo Just-in-Time, el coche se fabrica en tiempo real con las piezas que Gestamp entrega esa misma mañana. Un fallo de calidad o un retraso de minutos puede detener una planta entera, generando pérdidas millonarias. Como Tier 1, Gestamp es el responsable final ante el fabricante, gestionando a su vez a los proveedores de niveles inferiores (Tier 2 y 3). El desafío Chino: De seguidor a socio estratégico Gestamp no ve a China como un competidor lejano, sino como un mercado donde ya son veteranos. Con varias plantas en el gigante asiático y un centro de I+D en Shanghái, la empresa ha pasado de acompañar a sus clientes europeos (Volkswagen, BMW, Stellantis) a desarrollar carrocerías mano a mano con los fabricantes locales chinos. El nuevo ritmo de la industria China ha impuesto una velocidad frenética. Los ciclos de desarrollo de un vehículo han pasado de 8 años a apenas 3. Gestamp ha demostrado una agilidad asombrosa para una empresa de su tamaño, adaptándose a los clientes "nativos EV" (vehículos eléctricos). Estos nuevos constructores piden soluciones integrales: piezas complejas que sustituyen a varios componentes para facilitar el ensamblaje tipo "Lego". Tecnología que salva vidas: Del taller a la pantalla La innovación en Gestamp no es teórica; es industrial. Un hito fundamental fue la adquisición del grupo sueco Hardtech, que trajo consigo la tecnología de estampación en caliente. Esta técnica, que recuerda a los antiguos herreros templando el acero para endurecerlo, permite crear estructuras de carrocería increíblemente ligeras pero extremadamente resistentes. Gracias a desarrollos como el SoftZone, Gestamp puede diseñar piezas que se deforman de manera controlada en un accidente, absorbiendo la energía y protegiendo el habitáculo. El factor humano El alma de Gestamp son sus personas. Inmaculada Domínguez, directora de innovación GESTAMP, personifica este vínculo. Hija de inmigrantes extremeños que trabajaron en las cadenas de montaje de SEAT en la Zona Franca de Barcelona, ella cerró el círculo convirtiéndose en la ingeniera de "bata blanca" que diseñaba las piezas que su padre antes ensamblaba. Esa conexión entre el diseño en pantalla y la realidad del operario en la fábrica es lo que mantiene a Gestamp con los pies en el suelo y la mirada en el futuro. Desde Burgos hasta Shanghái, la historia de Gestamp es la historia de la propia industria de la automoción. Una empresa que ha sabido mantener su ADN familiar y su carácter castellano mientras lidera la revolución del vehículo eléctrico y la inteligencia artificial aplicada a la manufactura. Gestamp es el orgullo de una industria que empezó con una Vespa y hoy define la seguridad de los coches que conducimos. Escucha el episodio entero aquí: https://go.ivoox.com/rf/173327829 Escúchanos en: www.podcastmotor.es Twitter: @AutoFmRadio Instagram: @autofmpodcast Twitch: AutoFMPodcast Youtube: @AutoFM Contacto: info@autofm.es

Gestamp: El Gigante Familiar que Cotiza en Bolsa y Lidera la Revolución del Acero Verde En el último especial de AutoFM, hemos profundizado en una de las facetas más complejas y, a la vez, fascinantes de Gestamp: su estructura financiera y su compromiso con la sostenibilidad. ¿Cómo una empresa nacida en una oficina con una Vespa se convierte en una cotizada global sin perder su esencia familiar? ¿Cómo están liderando la descarbonización real de la industria? La salida a Bolsa (2017): Un paso estratégico para el largo plazo Muchos piensan que una empresa sale a bolsa solo para "hacerse rica". En Gestamp, el motivo fue puramente estratégico. La industria de la automoción requiere inversiones gigantescas en I+D y nuevas plantas para acompañar a los fabricantes en horizontes de tiempo de 10 o 15 años. Solidez Financiera: Salir a bolsa en 2017 proporcionó la solidez necesaria para sostener una expansión tecnológica sin precedentes. ADN Familiar: A pesar de estar en el mercado de capitales, la familia Riberas mantiene casi el 80% de la propiedad. Esto les permite combinar la disciplina y transparencia que exige el mercado con la visión a largo plazo de una empresa familiar. "Automoción es sinónimo de futuro, siempre vamos adelantándonos a nuestro tiempo", comentaban en la mesa. ESG: De la "Moda" a la palanca competitiva Mientras algunas empresas hacen "toreo de salón" con el marketing verde, en Gestamp la sostenibilidad (ESG) está integrada en el propio proceso productivo. Eficiencia como Norma: La automoción siempre ha estado obsesionada con la eficiencia. Gestamp fabrica tradicionalmente cerca de las plantas de sus clientes para reducir el transporte y, por ende, las emisiones. El Acero como "Oro": El acero es el material circular por excelencia. Se puede fundir y transformar mil veces sin perder sus propiedades. Gestamp ha logrado que los aceros actuales sean mucho más delgados pero infinitamente más resistentes que los de 1997, lo que permite bajar el peso del coche y mejorar su seguridad. El desafío de la descarbonización total (CO2 Neutro) La neutralidad de carbono no se consigue solo vendiendo coches eléctricos. La descarbonización real empieza mucho antes de que las ruedas pisen la calle: Materia prima descarbonizada: El acero "verde" es el gran objetivo. Gestamp trabaja con sus proveedores para que la fabricación de la materia prima se realice con procesos descarbonizados y energías limpias. Operaciones eficientes: Han reducido drásticamente la energía necesaria para producir acero de primera calidad, optimizando cada horno y cada prensa. Economía circular: Gescrap y el valor de la chatarra En Gestamp, la palabra "chatarra" ya no es un residuo estigmatizado; es una materia prima de altísimo valor. Adquisición de Gescrap (2023): Gestamp adquirió una participación mayoritaria en esta compañía especializada en la recogida y clasificación de chatarra. Esto cierra el círculo: recogen el material sobrante de sus operaciones, lo clasifican y lo devuelven a la cadena para convertirlo nuevamente en acero bajo en emisiones. Colaboración con aceristas: Al controlar la calidad de su propia chatarra, pueden colaborar directamente con los productores de acero para crear circuitos cerrados de reciclaje. Deconstruir para Innovar: El papel de CESVIMAP La sostenibilidad también implica pensar en qué pasa cuando el coche llega al desguace. Ingeniería inversa: Los fabricantes son expertos en montar coches, pero no tanto en desmontarlos. Gestamp colabora con CESVIMAP (Mapfre) para ayudar a los fabricantes a "deconstruir" sus vehículos. Recuperación de valor: Gracias a este conocimiento, se pueden recuperar piezas, darles un segundo ciclo de vida y entender cómo separar materiales (aluminio, acero, composites) para que el 100% sea reciclable. Expansión internacional: El estándar global Gestamp Gestamp nació internacionalizada a través de adquisiciones estratégicas (Hardtech en Suecia para el Hot Stamping o Edscha en Alemania para mecanismos). Hoy están en 24 países con 115 plantas. La Fábrica "Invisible": Una de las grandes fortalezas es su excelencia operacional. Si entras en una planta de Gestamp en China, México o Alemania, no sabrías en qué país estás. El estándar de calidad, tecnología y limpieza es idéntico a nivel mundial. Crecimiento en India: Siguiendo a clientes como Skoda o Maruti Suzuki, Gestamp se ha consolidado en la India, un mercado que señalan como clave para el futuro inmediato de la automoción. Gestamp es el ejemplo perfecto de cómo una empresa puede ser un gigante bursátil sin perder sus valores de austeridad y esfuerzo. Su apuesta por la economía circular y la descarbonización no es un añadido ético, sino el motor que los hace competitivos. Escucha el episodio entero aquí: https://go.ivoox.com/rf/173327829 Escúchanos en: www.podcastmotor.es Twitter: @AutoFmRadio Instagram: @autofmpodcast Twitch: AutoFMPodcast Youtube: @AutoFM Contacto: info@autofm.es

Mettez votre casque, des gants et un pantalon, c'est toujours mieux. Je vous emmène faire le tour de Téhéran sur une jolie Vespa rose. C'est ce que nous propose Divine Comedy, le nouveau film d'Ali Asgari. On suit un réalisateur Iranien, Bahram, qui voit son nouveau long-métrage interdit par le […] The post Divine Comedy : la résistance face à la censure first appeared on Radio Vostok.

Sometimes a single dinner can change everything! In this episode the Italian Life team greets Chef Aurelio Barattini to talk about the distinctions of Tuscan cooking and the traditions of a family restaurant, four generations in the making, Antico Locanda di Sesto! News of the day celebrates Andrew's favorite, The 80th birthday of the Vespa and guess. what? Smart Working doesn't mean what you think in Italian-- Iole's word of the day will set you straight.

"Para trás nem para pegar impulso." Clovis de Barros Filho.Iniciamos este episódio com essa provocação para discutir o movimento frenético do mercado de tecnologia. No Drops de IA de hoje, eu e o Thiago Vespa mergulhamos em um dos temas mais quentes do momento: a bolha da inteligência artificial vai estourar?Debatemos a diferença crucial entre lucro e valor de mercado, citando empresas como Nubank e a própria OpenAI que operam com valuations bilionários mesmo sem entregar lucros imediatos, baseando-se no seu potencial disruptivo.O que você vai encontrar neste episódio:- Os números do hype: discutimos o investimento global de R$ 8,4 trilhões em IA, um valor que chega perto de todo o PIB do Brasil;- A previsão da IA local: o Vespa traz uma visão de futuro onde rodaremos LLMs diretamente em nosso hardware (como placas RTX), fugindo da dependência da nuvem e dos custos de assinatura;- O paradoxo do programador junior: um insight surpreendente sobre como empresas estão voltando a contratar desenvolvedores iniciantes porque, em alguns casos, o custo humano já é menor do que o custo dos tokens de IA;- Experiência com Claude e Lovable: compartilho como usei essas ferramentas para criar meu site pessoal em React, mesmo sem ser especialista na linguagem, e por que o Claude tem superado o GPT em tarefas de código;- Squads de agentes autônomos: o futuro onde uma única pessoa pode orquestrar uma equipe inteira de IAs locais.O papo vai muito além da tecnologia, é sobre estratégia, governança de dados e sobrevivência na economia digital.

Nell'anno in cui la storica concessionaria di Melbourne Vespa House compie 70 anni, la Vespa ne festeggia 80. Il Vespa Club di Melbourne ha così organizzato un raduno speciale per celebrare questi due compleanni.

60 bis 70 Paletten voller Material stehen bereit – das IT-Team rüstet die Arbeitsplätze der Bank neu aus. Davon erzählt Beat Schmid (57) auf der Bank beim Camping Hopfräben in Brunnen. Er ist Leiter Betrieb und Plattformen bei der SZKB. Mit seinem Team ist er für den IT-Betrieb verantwortlich, damit alle Kundinnen, Kunden und Mitarbeitende die Bank-Services reibungslos nutzen können.Der entspannte und aktive IT-Profi ist gerne draussen unterwegs, wie er im Gespräch mit Damian Betschart erzählt. Ob beim Campen, dem Lauerzerseelauf, dem Engadiner Skimarathon oder auf Touren mit seiner alten Vespa, die er hegt und pflegt. Und er verrät sogar, wie das Tennis-Doppel mit seiner Frau harmoniert.www.szkb.ch/podcast«Auf der Bank» erscheint jeden ersten Dienstag des Monats. Der nächste Gast ist Daniel Bregenzer, Regionenleiter Innerschwyz bei der SZKB.

¿Quiénes son los únicos podcasteros que se ponen los gorritos de papel de aluminio y no han falla'o un vaticinio? ¿Quiénes son los únicos podcasteros que hace tiempo le están diciendo a los durmientes que tienen que despertar? ¡Tú sabes que somos nosotros! Esta semana hablamos del supuesto atentado contra el presidente favorito de Oscar, hubo un tiroteo en Walmart de Escorial, Carmelo se enchisma con sus compañeros en NotiUno, hay un ‘therian' en un jueguito del BSN, Valiente está vendiendo la Vespa en la que se sentó Jacky, y al fin se dio lo que estábamos esperando: la boda de Natalie Lugo. ¡Avísale a tu vecina que La fokin Hora Mach0rra acaba de empezar!

Join Overland Journal Podcast host Ashley Giordano as she speaks with Juvena Huang, a Singaporean overlander who embarked on a 44,000-kilometer journey by Vespa scooter. In this episode, Juvena dives into her highest highs, lowest lows, and most powerful lessons learned along the way. Juvena also touches on why she returns regularly to India and the inspiration behind her latest project: hosting motorcycle tours in the Himalayas.

El 23 de abril de 1946 la empresa Piaggio presentó las patentes de la primera e icónica motocicleta Vespa.

A circa un terzo del loro percorso, abbiamo raggiunto Mario e Leonardo Gabrieli al confine tra Thailandia e Laos, per ascoltare le loro storie di questi primi mesi dell'indimenticabile viaggio da loro intrapreso.

Tokyo vs. Paris: Two Completely Different Kinds of Magic Would you rather wander the electric streets of Tokyo or get cozy inside a vintage bookstore in Paris? Tokyo is a sensory overload in the best way possible. It's the kind of place where you don't need a plan—just walking around becomes the experience. You'll find vending machines selling everything from hot meals to mystery items, themed cafés (yes, even hedgehogs), and tiny restaurants that have perfected one dish over decades. Neighborhoods like Akihabara and Shibuya feel like stepping into the future, while places like Shimokitazawa bring a more indie, artsy vibe. Paris, on the other hand, is timeless. It's strolling past the Eiffel Tower at sunset, wandering through the Louvre, or sitting at a café for hours just people-watching. Neighborhoods like Le Marais and the Latin Quarter offer a mix of history, culture, and that effortlessly chic Parisian energy. Travel tip: In cities like these, don't over-plan. Leave room for curiosity—it's where the best moments happen.   NYC vs. Italy: A Food Lover's Dream Would you rather eat your way through New York City or explore the regional flavors of Italy? New York is a global food capital. You can try world-class Korean BBQ, authentic Italian pasta, or fresh seafood—all within a few blocks. It's fast-paced, diverse, and constantly evolving. Italy, though, is an experience in itself. Every region has its own identity—from Neapolitan pizza in Naples to rich ragù in Bologna. Meals aren't rushed; they're meant to be savored. Think multiple courses, local wine, and recipes passed down for generations. Travel tip: In Italy, always order like a local: antipasti, primi, secondi, and dolci. It's not just a meal—it's a ritual. And always order regional dishes—no pizza in Venice!   Rome vs. Bangkok: The Ride Matters Would you rather cruise through Rome on a Vespa or zip through Bangkok in a tuk-tuk? Rome on a Vespa is pure cinematic energy. You're weaving past ancient ruins, stopping for espresso in Trastevere, and catching sunset views from hidden hills. It's chaotic, yes—but it's also unforgettable. Bangkok's tuk-tuks are a whole different kind of thrill. They're fast, a little wild, and the perfect way to bounce between temples, markets, and street food spots. It's less about the destination and more about the ride. Travel tip: In Bangkok, always agree on a price before getting in a tuk-tuk. Trust us on this one.   Rio Carnival vs. Times Square NYE: Expectation vs. Reality Would you rather celebrate Carnival in Rio de Janeiro or New Year's Eve in Times Square? Rio Carnival is vibrant, energetic, and completely immersive. Think music, dancing, elaborate costumes, and nonstop celebration. It's one of the most joyful festivals in the world. Times Square on New Year's Eve… is iconic, but also intense. Massive crowds, long waits, freezing temperatures, and very little personal space. It's one of those “once in a lifetime” experiences—but not necessarily for the right reasons. Travel tip: Sometimes the most famous experiences aren't the most enjoyable. Do your research and decide what kind of vibe you actually want.   Lisbon vs. Barcelona: Hidden Gems or Rooftop Views? Would you rather uncover hidden corners in Lisbon or sip cocktails at rooftop bars in Barcelona? Lisbon is all about discovery. Quiet gardens, tucked-away bookstores, and local neighborhoods full of charm. It rewards slow travel and curiosity. Barcelona brings the energy—especially from above. Rooftop bars offer stunning views of the city, from the Sagrada Familia to the Mediterranean. It's lively, social, and perfect for soaking in the atmosphere. Travel tip: Balance both styles. Plan one to two  “highlight” activities per day, and leave the rest open for exploring.   Final Thoughts: The Best Travel Happens in Between No matter which destinations you choose, the real magic of travel isn't just in the landmarks—it's in the moments you don't plan. It's the café you stumble into. The street you didn't mean to turn down. The conversation with a local that changes your perspective. So next time you're exploring a city, give yourself permission to wander. Because getting a little lost? That's where the best stories begin. And if you're ready to take these ideas even further, this episode is packed with travel tips, cultural insights, and destination inspiration to help you explore beyond the tourist traps and plan a more meaningful trip—definitely one to listen to before your next adventure. See you next Travel Brat Tuesday. Until then, travel deeper, slow down, and don't be afraid to go beyond the obvious.   Listen to the Episode Ready to explore Europe beyond the tourist traps? This episode is packed with travel tips, cultural insights, and destination inspiration to help you plan a more meaningful trip.   Read the full blog post here: https://thetravelbrats.com/city-explorations-how-to-travel-like-a-local-and-not-a-tourist/   Watch the full episode here: https://youtu.be/zBjEyjZxgYg   Visit tenontours.com and include the code TRAVELBRAT300 to your initial trip request or provide it when you first connect with your Travel Designer.

Una pace è possibile Dove andare in vacanza 80 anni in Vespa Learn more about your ad choices. Visit megaphone.fm/adchoices

Già, con la Vespa ci andavamo a sciare, negli anni Sessanta. Ma c'era chi con la Vespa faceva le gimkane di paese, correva addirittura le Sei Giorni e le 24 Ore, viaggiava intorno al mondo. Compie ottant'anni il veicolo più originale e iconico, che ha motorizzato l'Italia ma è andato ben oltre…

Pernilla rattar en Vespa genom Rom och en gondol i Venedig med tandvärk. Sofia funderar om hennes nysning kan leda till orgasm. Har Pernilla skapat lättkränka barn? Lagom är svenskars favoritord. En lycklig man har vunnit en Picasso tavla. Och Ikea släpper en köttbulleklubba. Hosted on Acast. See acast.com/privacy for more information.

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An Olivier award-winning physical comedian who has worked in theatres, films, tv, festivals, circuses, cabarets, burlesque and variety shows in over 40 countries, and performed her material in 6 different languages. Forged from vaudeville stock, classical training, and an endless international tour circuit, Amy G is a deluxe weirdo extraordinaire.  Her credits include two of her own shows at Broadway's New Victory Theatre (Writer/Asst. Director/Lead in AntiGravity's Crash Test Dummies, and Daredevil Opera Company's Cirkus Inferno), Sydney Opera House, The Kennedy Center, Adelaide International Festival, Festival International de Teatro de Bogota, Montreal's TOHU, Macau Centre for the Arts, and Taipei, Hong Kong and Okinawan Arts Festivals.  As co-director and co-star of the Daredevil Opera Company, she created and toured original pyrotechnic physical comedy shows for 6 years, doing over 600 shows in 33 different countries. In NYC, Amy's many solo shows (Entershamement, Round She Goes, Loving Abroad, and On A Roll) have played at Joe's Pub, Dance Theatre Workshop, Symphony Space, The Deluxe at Spiegelworld, The Duplex, NY Intl Clown Theatre Festival and the Bard Spiegeltent. Internationally, she has performed solo shows in theatres around the UK including London's Hippodrome and Southbank Centre, Edinburgh and Brighton Fringe, Australia: Adelaide & Melbourne Cabaret Festivals, Ireland: Bosco Theatre, Germany: Dresden's Schaubudensommer, France: Versailles Festival de Rocquencourt, Antibes FestiFemme, Austria: Vienna's Metropol, Stadtsaal and Innsbruck's Festival of Dreams, Czech Republic: UFFO, and the Seychelles: Kempinski Resorts. She lives in Red Hook, NY with a husband but calls any place with keys and a bicycle (or Vespa, or rollerskates, for that matter) home.  

Bicycle Talk. Episode 477 April  1st  2026.  Ron's Rant: Price of gas keeps climbing. Ron Breaks down what it's really costing drivers.   On a positive side: Spring weather!!!   Taipei Cycle is now complete.  A solar powered scooter, think futuristic Vespa..  Mechanical minute and cycling tips:  April Fools for cyclists. A list of April […]

Former WWF writer Tommy Blacha and co-host Rob Pasbani take a trip to the "Shark Tank" in San Jose for a chaotic July 10, 2000, episode of Monday Night Raw. With Commissioner Mick Foley away on promotional duties in Asia, Degeneration X attempts to regain total control of the show. Meanwhile, one of the most hilariously disrespectful segments in Attitude Era history unfolds as Kurt Angle presents the Undertaker with an "energy-efficient" Vespa scooter.We break down the high-stakes main event between The Rock and Chris Benoit, which features a "Montreal-style" screwjob finish involving guest referee Shane McMahon. Tommy Blacha pulls back the curtain on the "mercurial mood" of Vince McMahon during the XFL expansion and the logistical nightmare of the California loop. We also discuss the infamous Bash at the Beach 2000 incident that occurred the night before, analyzing the Vince Russo vs. Hulk Hogan shoot and its impact on the wrestling world.Other major discussion points include:- The Undertaker's hallway biker entrance and his rejection of the "gift" from Kurt Angle.- The Right to Censor officially shutting down matches and "protecting" Trish Stratus with towels.- Triple H's "gym clothes" match against X-Pac and the brutal sledgehammer beatdown of Chris Jericho.- Edge & Christian defending the tag titles against The Acolytes in a match filled with ring-bell shenanigans.- The "West Coast Slog": Why fly-away shows often led to last-minute booking chaos.0:00 - Intro1:46 - Vince McMahon's hands-on management style off-camera5:32 - The XFL Hype9:10 - BASH AT THE BEACH 2000: Russo vs. Hogan and the screwjob15:40 - Missing Foley: Why the show reverted to heel dominance17:30 - Lita vs. Trish Stratus: The "Street Clothes" Street Fight19:10 - Shane McMahon & Chris Benoit: The "Just Friends" alliance21:50 - The dark side of Benoit's promos in retrospect23:05 - Mick Foley's "Google Earth" travel graphics23:25 - Match 1: Too Cool vs. T&A vs. The Hardys25:00 - Tazz's "out of the cage" run-ins and status with the writers26:45 - Chris Jericho's attacked by Road Dogg28:00 - THE VESPA INCIDENT: Kurt Angle's gift to the Undertaker31:30 - Match 2: Kane vs. Rikishi vs. Val Venis (IC Title)35:00 - Triple H's trap for Jericho: "The Hunter" vs. "The Game"38:30 - Match 3: Edge vs. Bradshaw (Stan Hansen level Lariats)41:40 - Match 4: Lita vs. Trish Stratus (The top-off ending)43:55 - RIGHT TO CENSOR: Steven Richards declares the contest over48:30 - Match 5: Triple H vs. X-Pac (The DX betrayal)50:30 - Sledgehammer Beatdown: Jericho's Crimson Mask53:15 - Backstage: Chyna's "Small Ice Pack" dig at Benoit55:50 - Triple H's suggestion for the STD: Standing Torture Device57:10 - Main Event: The Rock vs. Chris Benoit 1:00:30 - The Shane McMahon Ref shirt reveal and Screwjob finish1:03:00 - Fly on the wall: Tommy's dream to be at NWO Sold Out1:05:35 - OutroFollow Tales from The Attitude Era on all social mediahttp://youtube.com/@TFTAttitudeEra http://twitter.com/TFTAttitudeErahttp://instagram.com/TFTAttitudeErahttp://tiktok.com/@TFTAttitudeEra Hosted on Acast. See acast.com/privacy for more information.

Ciao Rom. In dieser Stadt gibt es wenig Schatten. Und weniger Männer als Frauen. Dafür dann Schattenmänner. Zwei römische Knappheiten, die sich überraschend ergänzen. Bei ihrer Europareise sind Justus, Peter und Bob als Ferien Flegel unterwegs und zeigen als Touristen ein überraschend begrenztes Benehmen: Ganz neue, unangenehme Charakterzüge der drei Detektive – mit mehrfachen Mansplain Momenten. Trotz Corleone-Charme sind „Die drei ??? und die Schattenmänner“ nicht al dente. Für die Hörspielbesprechung gibt es jedoch fantastisches Faktenfutter für unsere zwei kleinen Italiener, Antipasti-Andreas und Kolosseum-Kai. Immerhin brilliert Reinhilt Schneider in ihrer Rolle als deutsches Au-pair-Mädchen aus Schduagert. Und es gibt die krassesten Jumpscares der Detektiv-Reihe. Warum wird in diesem Fall viel klassische Musik eingesetzt? Was ist stimmhaftes Einatmen? Und wo wurden unsere Bobcaster in echt überfallen? Dann knattert mal mit eurer Vespa los und hört die „Langfinger in Rom“. Shout-out an die Pizzeria in der Eppendorfer Landstraße und an BWL-Justus. Ihr habt Fragen, Wünsche oder Anregungen? Dann schickt einfach eine E-Mail an: bobcast@dreifragezeichen.de Hier gibt es alle Infos und Termine zur Bobcast LIVE Tour: https://www.dreifragezeichen.de/bobcastlive „Haschimitenfürst – Der Bobcast“ ist ein Podcast von EUROPA, a division of Sony Music Entertainment Germany GmbH Idee: Andreas Fröhlich/ Regie & Konzeption: Ralf Podszus/ Moderation: Kai Schwind und Andreas Fröhlich/ Titelmusik: Jan-Friedrich Conrad/ Redaktion: Lara Grillmayer / Produktion: Carina Schwarz/ Management & Koordination: Nina Schulze Pellengahr/ Redaktion Sony: Maike Müller/ Covermotiv: Aiga Rasch (Illustrationen), Tom Presting (Gestaltung), Christian Hartman, Haakon Dueland (Fotos)/ Eine Produktion von Podever Vielen Dank an unsere Werbepartner dieser Folge. Zu den Angeboten kommst du hier: https://linktr.ee/Bobcast

Indoor Builds the Athlete. Outdoor Reveals It dives into this week's Ask A Coach topic: how indoor training truly transfers to outdoor performance—especially for mountain bikers and XTERRA athletes. Coaches April and Lauren break down what fitness you build indoors, what skills require outdoor practice, and how to bridge both for peak performance. Plus: Grit2Greatness announcements, the Get Gritty Tip on interdependence, the Workout of the Week woven into Velocity sessions, and our St. Paddy's “Luck of the Tri‑ish” fun segment. This episode is supported by our show sponsor Vespa Power, and the Ask A Coach segment is presented by Velocity by Grit2Greatness.#Grit2Greatness #CoachingTips #Ask A Coach #TriathlonCoach #TriathlonPodcast #303Endurance #TriDot #EnduranceAthlete #SwimBikeRun #GetGritty #TriathlonTraining #CyclingLife #RunningCommunityWebsite - Grit2Greatness Endurance CoachingFacebook - @grit2greatnessenduranceInstagram - @grit2greatness_enduranceGet Started with Grit2Greatness -Getting Started with Grit2Greatness - Google FormsGet Gritty Sponsor: Vespa PowerVespa Power Endurance helps you tap into steady, clean energy—so you stay strong, focused, and in the zone longer. Vespa is not fuel, but a metabolic catalyst that shifts your body to use more fat and less glycogen as your fuel source. Vespa comes in CV-25, Junior and Concentrate.Less sugar. Higher performance. Faster recovery.Home of Vespa Power Products | Optimizing Your Fat MetabolismCode: g2gvespa15Link: https://vespapower.com/coupon/g2gvespa15/

Mona Vespa, President of the GO! St Louis Marathon, joins Chris and Amy in-studio. She explains how the '26.2 mile tour of the city,' comes together. 'Street closures are a big deal, they take a lot of work,' says Vespa. 5 separate races will take place on April 11.

This week, John Cusack joins us to talk high school reunions, graphic novels, and the secrets to keeping your Vespa's tank full. Plus, panelists Rachel Coster, Adam Felber, and Joyelle Nicole Johnson go on spring breakTo manage podcast ad preferences, review the links below:See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

In this week's feature interview, we sit down with Kate Watt Kuo, founder of Every Body Tri, to explore how true inclusion, representation, and authentic storytelling are reshaping the future of endurance sports. We also cover upcoming Grit2Greatness events, including Velocity Live and our free March 24th hydration & nutrition webinar, plus a gritty Ask‑A‑Coach segment and a lighthearted round of “Every Body Cry.” Powered by our show sponsor Vespa Endurance and supported by our Ask‑A‑Coach sponsor.#Grit2Greatness #EveryBodyTri #CoachingTips #Ask A Coach #TriathlonCoach #TriathlonPodcast #303Endurance #TriDot #EnduranceAthlete #SwimBikeRun #GetGritty #TriathlonTraining #CyclingLife #RunningCommunityWebsite - Grit2Greatness Endurance CoachingFacebook - @grit2greatnessenduranceInstagram - @grit2greatness_enduranceGet Started with Grit2Greatness -Getting Started with Grit2Greatness - Google FormsGet Gritty Sponsor: Vespa PowerVespa Power Endurance helps you tap into steady, clean energy—so you stay strong, focused, and in the zone longer. Vespa is not fuel, but a metabolic catalyst that shifts your body to use more fat and less glycogen as your fuel source. Vespa comes in CV-25, Junior and Concentrate.Less sugar. Higher performance. Faster recovery.Home of Vespa Power Products | Optimizing Your Fat MetabolismUse discount code - 303endurance20

This week we're diving into a powerful and inspiring conversation with Kate Watt Kuo, the creator behind Every Body Tri. We talk about inclusive storytelling, breaking through triathlon stereotypes, partnering with Team Zoot, and helping athletes of all shapes and abilities find their place in the sport. We also share upcoming Grit2Greatness events, our hydration & nutrition webinar, and a fun emotional twist with “Every Body Cry.”#Grit2Greatness #CoachingTips #Ask A Coach #TriathlonCoach #TriathlonPodcast #303Endurance #TriDot #EnduranceAthlete #SwimBikeRun #GetGritty #TriathlonTraining #CyclingLife #RunningCommunityWebsite - Grit2Greatness Endurance CoachingFacebook - @grit2greatnessenduranceInstagram - @grit2greatness_enduranceGet Started with Grit2Greatness -Getting Started with Grit2Greatness - Google FormsGet Gritty Sponsor: Vespa PowerVespa Power Endurance helps you tap into steady, clean energy—so you stay strong, focused, and in the zone longer. Vespa is not fuel, but a metabolic catalyst that shifts your body to use more fat and less glycogen as your fuel source. Vespa comes in CV-25, Junior and Concentrate.Less sugar. Higher performance. Faster recovery.Home of Vespa Power Products | Optimizing Your Fat MetabolismUse discount code - 303endurance20

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

In this week's episode of Grit2Greatness Endurance, we dive into Training Camp Myth Busters, tackling the most common misconceptions athletes have about camps—from fears of not being “fast enough” to worrying about getting dropped. We also highlight upcoming announcements including March's free hydration & nutrition webinar, plus our regular Grit2Greatness training opportunities. This episode features the Fun Segment “Training Camp Confessions,” along with insights from coaches Rich, April, and Lauren. Show Sponsor: Vespa Power. Ask A Coach Sponsor: Vespa Power.#Grit2Greatness #CoachingTips #Ask A Coach #TriathlonCoach #TriathlonPodcast #303Endurance #TriDot #EnduranceAthlete #SwimBikeRun #GetGritty #TriathlonTraining #CyclingLife #RunningCommunityWebsite - Grit2Greatness Endurance CoachingFacebook - @grit2greatnessenduranceInstagram - @grit2greatness_enduranceGet Started with Grit2Greatness -Getting Started with Grit2Greatness - Google FormsGet Gritty Sponsor: Vespa PowerVespa Power Endurance helps you tap into steady, clean energy—so you stay strong, focused, and in the zone longer. Vespa is not fuel, but a metabolic catalyst that shifts your body to use more fat and less glycogen as your fuel source. Vespa comes in CV-25, Junior and Concentrate.Less sugar. Higher performance. Faster recovery.Home of Vespa Power Products | Optimizing Your Fat MetabolismUse discount code - 303endurance20

Colorado's Ride takes center stage this week as Bill Plock joins the show to dive deep into the stories, climbs, logistics, and community that make this multi‑day adventure one of Colorado's most memorable cycling experiences. We also share key announcements, including TriDot Pool School and the launch of Velocity group rides, plus a fun segment exploring Rich & Bill's “Excellent Adventures.” Show Sponsor: Vespa Power Endurance. Ask a Coach Sponsor: TriDot Pool School.#Grit2Greatness #CoachingTips #Ask A Coach #TriathlonCoach #TriathlonPodcast #303Endurance #TriDot #EnduranceAthlete #SwimBikeRun #GetGritty #TriathlonTraining #CyclingLife #RunningCommunityWebsite - Grit2Greatness Endurance CoachingFacebook - @grit2greatnessenduranceInstagram - @grit2greatness_enduranceGet Started with Grit2Greatness -Getting Started with Grit2Greatness - Google FormsGet Gritty Sponsor: Vespa PowerVespa Power Endurance helps you tap into steady, clean energy—so you stay strong, focused, and in the zone longer. Vespa is not fuel, but a metabolic catalyst that shifts your body to use more fat and less glycogen as your fuel source. Vespa comes in CV-25, Junior and Concentrate.Less sugar. Higher performance. Faster recovery.Home of Vespa Power Products | Optimizing Your Fat MetabolismUse discount code - 303endurance20

Last year was, almost inarguably, our best year ever for motorcycle auctions. This week on the podcast, Alex and Tyler discuss each of their top 10 bikes of the year.Along the way, they touch on a public transport admission; daily and weekly firsts; the care taken to design parts that will always be visible; their favorite exhaust systems; scaring horses off roads a century ago; the difficulty in modernizing the Harley-Davidson; left-hand throttles and Colt Pythons; Bimota and Harley trivia; odd partnerships and engine configurations; and a great run of big pre-war, air-cooled fours.Mentioned in this episode:10:37  1929 Harley-Davidson Model J w/ Sidecar11:48  50-Years Owned 1951 Vincent Rapide Series C17:387  Vespa 946 Christian Dior Limited Editions19:59  1985 Bimota DB1 Project20:03  The Racing Relics Collection from 1600veloce22:55  Brodix 427-Powered 2010 Vanquish V823:43  Ford Flathead V8-60-Powered Custom Motorcycle25:44  1990 BMW K1 & 1993 BMW K1 Ultima Pair27:54  Lot of Five 1980 Chrysler Sno-Runners29:02  1920 Harley-Davidson Model W Sport30:57  1953 Ariel Square Four35:50  1936 Brough Superior SS80 w/Petrol-Tube Sidecar37:40  1949 Moto Guzzi Airone Sport41:05  1942 Harley-Davidson WLA42:25  Vincent Auction Results42:41  1952 Vincent Black Shadow44:07  49-Mile 1977 MV Agusta 750S America45:17  1942 Indian Four45:39  1931 Indian Four46:20 1-Kilometer 1991 Bimota Tesi 1D 904 SR48:03  CR750-Style 1969 Honda CB750 Sandcast48:29  Postcards from Monterey Collection from MohrImports50:02  1918 Henderson Four Model H53:06  BaT Podcast Episode 67: The Davidlee8 InterviewGot suggestions for our next guest from the BaT community, One Year Garage episode, or (B)aT the Movies subject? Let us know in the comments below!

Racing with Honor features two remarkable veteran paracyclists whose journeys through injury, resilience, and reinvention come to life at the Valley of the Sun Stage Race. Alongside their powerful stories, we highlight this week's announcements—including TriDot Pool School and G2G Velocity live ride sessions—plus our Get Gritty Tip, Workout of the Week, and a fun segment celebrating the heart of endurance sport. Supported by our show sponsor Vespa Power and Ask A Coach sponsor TriDot, this episode brings listeners inspiration, practical training insight, and a deeper understanding of purpose-driven performance.#Grit2Greatness #CoachingTips #Ask A Coach #TriathlonCoach #TriathlonPodcast #303Endurance #TriDot #EnduranceAthlete #SwimBikeRun #GetGritty #TriathlonTraining #CyclingLife #RunningCommunityWebsite - Grit2Greatness Endurance CoachingFacebook - @grit2greatnessenduranceInstagram - @g2genduranceGet Started with Grit2Greatness -Getting Started with Grit2Greatness - Google FormsCoach Contact Info:April.spilde@tridot.comTriDot Signup - https://app.tridot.com/onboard/sign-up/aprilspildeRunDot Signup - https://app.rundot.com/onboard/sign-up/aprilspildeCoach Lauren BrownLauren.brown@tridot.comTriDot Signup - https://app.tridot.com/onboard/sign-up/laurenbrownRunDot Signup - https://app.rundot.com/onboard/sign-up/laurenbrownCoach Rich SoaresRich.soares@tridot.comRich Soares CoachingTriDot Signup - https://app.tridot.com/onboard/sign-up/richsoaresRunDot Signup - https://app.rundot.com/onboard/sign-up/richsoaresGet Gritty Sponsor: Vespa PowerVespa Power Endurance helps you tap into steady, clean energy—so you stay strong, focused, and in the zone longer. Vespa is not fuel, but a metabolic catalyst that shifts your body to use more fat and less glycogen as your fuel source. Vespa comes in CV-25, Junior and Concentrate.Less sugar. Higher performance. Faster recovery.Home of Vespa Power Products | Optimizing Your Fat MetabolismUse discount code - 303endurance20

Most leaders don't actually want more money. They want more time. In this short session, I walk through the first (and most overlooked) step to freeing up your time without losing results: delegating outcomes rather than tasks. This small shift moves you out of micromanaging, builds real ownership on your team, and stops you from being the bottleneck. Episode Highlights 00:27 The Importance of Freeing Up Time 01:01 Delegating Outcomes: The First Step 02:06 Shifting Focus from Tasks to Results 03:24 Empowering Your Team 05:18 The Benefits of Delegating Outcomes Resource The Board Clarity Club A monthly membership for boards that provides training and live expert support to help your board have total clarity on how to be the best board possible. Learn More >> About Your Host Have you seen Casino Royale? That moment when Vespa slides in elegantly, opposite James, all charming smile, razor-sharp wit and mighty brainpower, and says, "I'm the money"?   Well, your host, Sarah Olivieri has been likened to Vespa by one of her clients – not just because she's charming, beautiful and brainy– but because that bold statement "I'm the money" was, as it turned out, right ON the money.   Sarah helps nonprofits transform their organizations from failing to thriving. And she's very, very good at it.   She's brought nonprofits back from the brink of insolvency. She's averted major cash-flow crises, solved funding droughts, board conflicts and everything in between… and so she has literally become "the money" for many of the organizations she works with.   As the former director of 3 nonprofits and founder of 5 for-profit businesses, she understands, deeply, the challenges and complexities facing organizations and she's created a framework, called The Impact Method®ï¸, which can help you simplify operations, build aligned teams and make a bigger impact without getting overwhelmed or burning out – and Every. Single. One. Of her clients that have implemented her methodologies have achieved the most incredible results.   Sarah is also a #1 international bestselling author, holds a BA from the University of Chicago with a focus on globalization and its effect on marginalized cultures, and a master's degree in Humanistic and Multicultural Education from SUNY New Paltz. Access additional training at www.pivotground.com/funding-secrets or apply for the THRiVE Program for personalized support at www.pivotground.com/application Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated!   Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

If your budget feels like a set of handcuffs instead of a helpful tool, this episode is for you. I break down why so many nonprofits get stuck prioritizing the bottom line instead of smart financial decisions—and how to reframe your budget as a living financial plan that helps you invest, adapt, and create more impact as new opportunities emerge. Episode Highlights 00:27 The Importance of Aligning Strategy and Operations 01:13 Common Budgeting Pitfalls 02:18 Reframing Your Budget as a Financial Plan 03:23 Prioritizing Spending for Maximum Impact 07:39 Adapting to New Opportunities Resource The Board Clarity Club A monthly membership for boards that provides training and live expert support to help your board have total clarity on how to be the best board possible. Learn More >> About Your Host Have you seen Casino Royale? That moment when Vespa slides in elegantly, opposite James, all charming smile, razor-sharp wit and mighty brainpower, and says, "I'm the money"? Well, your host, Sarah Olivieri has been likened to Vespa by one of her clients – not just because she's charming, beautiful and brainy– but because that bold statement "I'm the money" was, as it turned out, right ON the money. Sarah helps nonprofits transform their organizations from failing to thriving. And she's very, very good at it. She's brought nonprofits back from the brink of insolvency. She's averted major cash-flow crises, solved funding droughts, board conflicts and everything in between… and so she has literally become "the money" for many of the organizations she works with. As the former director of 3 nonprofits and founder of 5 for-profit businesses, she understands, deeply, the challenges and complexities facing organizations and she's created a framework, called The Impact Method®️, which can help you simplify operations, build aligned teams and make a bigger impact without getting overwhelmed or burning out – and Every. Single. One. Of her clients that have implemented her methodologies have achieved the most incredible results. Sarah is also a #1 international bestselling author, holds a BA from the University of Chicago with a focus on globalization and its effect on marginalized cultures, and a master's degree in Humanistic and Multicultural Education from SUNY New Paltz. Access additional training at www.pivotground.com/funding-secrets or apply for the THRiVE Program for personalized support at www.pivotground.com/application Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

Delegating tasks keeps you busy. Delegating outcomes changes everything. In this episode, I break down the real difference between assigning work and asking someone to own a result—and why outcome ownership requires agreement, trust, and the right match between people and responsibility. If scaling still feels heavy, this is why. Episode Highlights 00:00 Introduction: The Managerial Dilemma 00:10 Task Proficiency vs. Leadership Skills 00:21 The Side Benefits 00:24 Common Challenges in Management 00:28 Aspiring Leaders in Organizations Resource The Board Clarity Club A monthly membership for boards that provides training and live expert support to help your board have total clarity on how to be the best board possible. Learn More >> About Your Host Have you seen Casino Royale? That moment when Vespa slides in elegantly, opposite James, all charming smile, razor-sharp wit and mighty brainpower, and says, "I'm the money"? Well, your host, Sarah Olivieri has been likened to Vespa by one of her clients – not just because she's charming, beautiful and brainy– but because that bold statement "I'm the money" was, as it turned out, right ON the money. Sarah helps nonprofits transform their organizations from failing to thriving. And she's very, very good at it. She's brought nonprofits back from the brink of insolvency. She's averted major cash-flow crises, solved funding droughts, board conflicts and everything in between… and so she has literally become "the money" for many of the organizations she works with. As the former director of 3 nonprofits and founder of 5 for-profit businesses, she understands, deeply, the challenges and complexities facing organizations and she's created a framework, called The Impact Method®️, which can help you simplify operations, build aligned teams and make a bigger impact without getting overwhelmed or burning out – and Every. Single. One. Of her clients that have implemented her methodologies have achieved the most incredible results. Sarah is also a #1 international bestselling author, holds a BA from the University of Chicago with a focus on globalization and its effect on marginalized cultures, and a master's degree in Humanistic and Multicultural Education from SUNY New Paltz. Access additional training at www.pivotground.com/funding-secrets or apply for the THRiVE Program for personalized support at www.pivotground.com/application Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

Procrastination isn't a character flaw—it's data. In this training, Sarah Olivieri shares how to turn "I can't make myself do it" into a practical clue about what needs to change: your expectations, the size of the task, or whether it even belongs on your plate. You'll learn a simple mindset shift (Wabi-Sabi procrastination), how the Four Tendencies can explain your patterns, and a few quick ways to redesign work so you actually get it done—without forcing yourself to become a different person. Episode Highlights 01:13 Today's Topic: Positive Procrastination 01:32 Personal Procrastination Story 03:21 Understanding Procrastination 06:19 The Four Tendencies Framework 08:38 Breaking Down Tasks 10:43 Delegation and Zone of Genius Resource The Board Clarity Club A monthly membership for boards that provides training and live expert support to help your board have total clarity on how to be the best board possible. Learn More >> About Your Host Have you seen Casino Royale? That moment when Vespa slides in elegantly, opposite James, all charming smile, razor-sharp wit and mighty brainpower, and says, "I'm the money"? Well, your host, Sarah Olivieri has been likened to Vespa by one of her clients – not just because she's charming, beautiful and brainy– but because that bold statement "I'm the money" was, as it turned out, right ON the money. Sarah helps nonprofits transform their organizations from failing to thriving. And she's very, very good at it. She's brought nonprofits back from the brink of insolvency. She's averted major cash-flow crises, solved funding droughts, board conflicts and everything in between… and so she has literally become "the money" for many of the organizations she works with.   As the former director of 3 nonprofits and founder of 5 for-profit businesses, she understands, deeply, the challenges and complexities facing organizations and she's created a framework, called The Impact Method®️, which can help you simplify operations, build aligned teams and make a bigger impact without getting overwhelmed or burning out – and Every. Single. One. Of her clients that have implemented her methodologies have achieved the most incredible results. Sarah is also a #1 international bestselling author, holds a BA from the University of Chicago with a focus on globalization and its effect on marginalized cultures, and a master's degree in Humanistic and Multicultural Education from SUNY New Paltz. Access additional training at www.pivotground.com/funding-secrets or apply for the THRiVE Program for personalized support at www.pivotground.com/application Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated!   Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

Ep. 249: Before food trucks were cool, Mike Rypka had a used trailer, a red Vespa for deliveries, and a bold dream of building a taco joint. In this raw and inspiring conversation, he shares how overcoming addiction—and earning respect by leading from the line—shaped the culture behind one of America's most beloved taco brands, now with more than 100 locations. Read our book The Devil Is In the Details: Mike Rypka and the Torchy's Tacos Story: https://a.co/d/96JXGWu Our BONUS RESOURCE for this episode includes Don's favorite quotes from today's episode and a reflection question so you can apply today's insights.  Do you want to write a book? In my new role as Publisher at Forbes Books and with the incredible resources and expertise of their team, we're making it easier than ever to help YOU to tell your story. Send us a message here to get started: https://books.forbes.com/don/  Looking for a speaker for your next event? From more than 30 years of interviewing and studying the greatest winners of all time Don offers these live and virtual presentations built to inspire your team towards personal and professional greatness.  Special thanks to Anthony Dickinson and Karson Hills for making this episode possible.

Burnout doesn't usually announce itself—it sneaks in through exhaustion, distraction, and that constant feeling of carrying too much. In this episode, I break down how to spot burnout early, why it hurts your organization (not just you), how boards can unintentionally make it worse, and what actually helps leaders recover—without adding more to your plate. Episode Highlights 01:16 Recognizing Burnout in Nonprofit Leadership 02:44 The Impact of Burnout on Organizations 03:55 Board's Role in Preventing Burnout 05:44 Strategies to Overcome Burnout 07:13 Self-Care and Community Support Resource The Board Clarity Club A monthly membership for boards that provides training and live expert support to help your board have total clarity on how to be the best board possible. Learn More >> About Your Host Have you seen Casino Royale? That moment when Vespa slides in elegantly, opposite James, all charming smile, razor-sharp wit and mighty brainpower, and says, "I'm the money"? Well, your host, Sarah Olivieri has been likened to Vespa by one of her clients – not just because she's charming, beautiful and brainy– but because that bold statement "I'm the money" was, as it turned out, right ON the money. Sarah helps nonprofits transform their organizations from failing to thriving. And she's very, very good at it. She's brought nonprofits back from the brink of insolvency. She's averted major cash-flow crises, solved funding droughts, board conflicts and everything in between… and so she has literally become "the money" for many of the organizations she works with. As the former director of 3 nonprofits and founder of 5 for-profit businesses, she understands, deeply, the challenges and complexities facing organizations and she's created a framework, called The Impact Method®️, which can help you simplify operations, build aligned teams and make a bigger impact without getting overwhelmed or burning out – and Every. Single. One. Of her clients that have implemented her methodologies have achieved the most incredible results. Sarah is also a #1 international bestselling author, holds a BA from the University of Chicago with a focus on globalization and its effect on marginalized cultures, and a master's degree in Humanistic and Multicultural Education from SUNY New Paltz. Access additional training at www.pivotground.com/funding-secrets or apply for the THRiVE Program for personalized support at www.pivotground.com/application Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.