Podcasts about gpu

Gonka is a decentralized network for high-efficiency AI compute, designed to maximize the use of global GPU power for meaningful AI workloads. By eliminating centralized gatekeepers, Gonka provides builders and researchers with permissionless access to compute resources, while rewarding participants through its native token, GNK.David and Daniil Liberman are Los Angeles-based futurists, serial entrepreneurs, investors, ex-Snap directors of Product, founders of ProductScience.ai and Humanism Co. by Libermans Co., as well as the creators of the Gonka protocol. David recently joined the Bitcoin.com News Podcast to talk about the technology.Inspired by Bitcoin's ability to build massive, decentralized infrastructure, Gonka aims to unite GPU owners globally to create a transformer-based Proof-of-Work (PoW) network for AI compute. Liberman discusses the inefficiencies of centralized cloud models for GPUs and the critical shift towards specialized hardware like ASICs, drawing parallels to Bitcoin mining's evolution.Liberman explains Gonka's focus on inference over training and how a PoW-based network aligns incentives with hardware providers, fostering greater infrastructure growth compared to Proof-of-Stake networks. He also addresses the current AI market valuations, suggesting that while AI's long-term impact will be immense, some company valuations might be in a bubble, similar to the dot-com era. The conversation highlights the importance of tokenomics that prioritize hardware providers and innovators to accelerate hardware efficiency.Finally, the podcast explores the broader implications of decentralized AI for global competition and individual autonomy. Liberman argues that distributed compute systems are essential for smaller countries and startups to compete against centralized national players. He emphasizes that a PoW-based network prevents artificial inflation of value by linking coin value to the real cost of compute, leading to a healthier ecosystem. The episode concludes with a discussion on the future of AI and work, stressing the need for billions of independent, decentralized AIs to prevent wealth and power concentration and ensure a future of abundance.About Our GuestDavid and Daniil began their entrepreneurial path with their siblings, co-founding ventures across computer graphics, finance, and AI. They founded Frank Money, pioneering radical financial transparency, and later launched Kernel AR, which was acquired by Snap the same year. David and Daniil and their siblings signed the Founders Pledge, channeling their economic output into Libermans Co., now valued at $ 400 million, and attracted investments from Marc Andreessen, Josh Kushner, and Arielle Zuckerberg.To learn more about the protocol visit Gonka.AI, and follow the team on X.

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** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Learn how Anyscale's Ray platform enables companies like Instacart to supercharge their model training while Amazon saves heavily by shifting to Ray's multimodal capabilities.Topics Include:Ray originated at UC Berkeley when PhD students spent more time building clusters than ML modelsAnyscale now launches 1 million clusters monthly with contributions from OpenAI, Uber, Google, CoinbaseInstacart achieved 10-100x increase in model training data using Ray's scaling capabilitiesML evolved from single-node Pandas/NumPy to distributed Spark, now Ray for multimodal dataRay Core transforms simple Python functions into distributed tasks across massive compute clustersHigher-level Ray libraries simplify data processing, model training, hyperparameter tuning, and model servingAnyscale platform adds production features: auto-restart, logging, observability, and zone-aware schedulingUnlike Spark's CPU-only approach, Ray handles both CPUs and GPUs for multimodal workloadsRay enables LLM post-training and fine-tuning using reinforcement learning on enterprise dataMulti-agent systems can scale automatically with Ray Serve handling thousands of requests per secondAnyscale leverages AWS infrastructure while keeping customer data within their own VPCsRay supports EC2, EKS, and HyperPod with features like fractional GPU usage and auto-scalingParticipants:Sharath Cholleti – Member of Technical Staff, AnyscaleSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Australia needs control over its intelligence layer, not just its data. We explore SCX's sovereign AI cloud, Project Magpie's cultural reasoning, and why inference economics and time-to-market beat hype-driven buildouts.• sovereign AI as control and context, not just security• SCX's inference cloud and partnership with SambaNova• Project Magpie fine-tuning the reasoning layer for Australia• training vs inference split to optimize cost and speed• tokens per kilowatt as the core unit economics• open source vs closed models in enterprise adoption• retrofitting existing data centers with pre-assembled racks• moving pilots to production through cost, control, and confidence• regional strategy across Southeast Asia and exportable tokens• agents shifting work to domain teams, doing more not just cutting costs• candid MBA debate on value, narrative, and people skills• playful Spark Tank on pickleball and rapid-fire personal insightsWhat if a nation's most critical asset isn't oil, power, or spectrum—but intelligence? We sit down with Southern Cross AI (SCX) founder David Keane, co-founder and CSO Akash Agrawal, and SambaNova's Chief Product and Strategy Officer Abhi Ingle to unpack how a sovereign AI cloud can protect context, culture, and control while still competing on cost and speed. From Australia's national needs to regional demand across Southeast Asia, we chart a pragmatic route from vision to working systems.David explains why SCX is built around inference as a service and how Project Magpie fine-tunes the reasoning layer so models “think like an Australian,” reflecting local law, language, and norms. Abhi breaks down training vs inference in plain English, clarifying why pretraining might live on massive GPU clusters while high-throughput, energy-efficient inference thrives on SambaNova's ASIC-based systems. Akash digs into enterprise realities—data sovereignty, runaway costs, and integration roadblocks—and makes the case for open source models you can fork, fine-tune, and operate within your perimeter.We get practical about tokens per kilowatt as the new ROI, pre-assembled racks that drop into existing data centers, and managed services that cut time-to-market from years to months. We explore why most buyers don't care which chip is under the hood—they care about latency, reliability, and price—and how that shifts competition from hardware logos to delivered outcomes. Go to SCX.ai to experience the future of sovereign AI.Remember, in order to win the “$1,000 token credit" you'll have to explain what a magpie is in the comments, and the team at SCX will judge the winner!David Keane - https://www.linkedin.com/in/dakeane/David serves as the Founder & CEO of SouthernCrossAI (SCX.ai), an Inference-as-a-Service platform dedicated to establishing sovereign, scalable, and cost-efficient AI infrastructure tailored for Australian requirements.Akash Agarwal - https://www.linkedin.com/in/aagarwal/Currently, Akash serves as the Chief Strategy Officer and Co-Founder of SouthernCrossAI (SCX.ai).Abhi Ingle - https://www.linkedin.com/in/ingle-abhi/Abhi Ingle - Currently, Abhi serves as the Chief Product & Strategy Officer (CPSO) at SWebsite: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

Nvidia's $5 trillion valuation is more than a headline — it's a turning point. Every major tech breakthrough now runs on its architecture. The world has officially entered the GPU era.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

Καλεσμένος μας σε αυτό το επεισόδιο ο φυσικός σωματιδιακής φυσικής Αντώνης Παπανέστης, επικεφαλής της ομάδας στο Rutherford Appleton Laboratory για το πείραμα LCHb στο CERN. Από τη φυσική σωματιδίων και τους ανιχνευτές Cherenkov μέχρι τη διαφορά ύλης–αντιύλης, μαθαίνουμε τι μετρά πραγματικά το LHCb, πώς οργανώνονται 1000 ερευνητές σε ένα paper και ποια είναι τα επόμενα βήματα για τον Μεγάλο Επιταχυντή Αδρονίων.Το πρόσφατο άρθρο στο Nature που σχολιάζουμε: The Large Hadron Collider Discovers Antimatter Behaving Oddly in New Class of Particles | Scientific AmericanPre-show: Ένας πολύ σπέσιαλ καλεσμένοςΕξήγηση της φυσικής ύλης–αντιύλης και της παραβίασης CP συμμετρίας που μελετά το πείραμα.Το πρόσφατο αποτέλεσμα: ανίχνευση μικρής διαφοράς (≈1–2%) στις διασπάσεις βαρυονίων Λάμδα Β — επιβεβαίωση προβλέψεων του Καθιερωμένου Μοντέλου.Πώς δουλεύει ο επιταχυντής: 40 εκατομμύρια συγκρούσεις το δευτερόλεπτο, τεράστιες ροές δεδομένων (έως 10 terabit/s), φιλτράρισμα και ανάλυση μέσω παγκόσμιου υπολογιστικού δικτύου.Αναβαθμίσεις και μέλλον: αύξηση φωτεινότητας (luminosity) και ευαισθησίας μέχρι τη δεκαετία του 2040.Η καθημερινότητα στο CERN, οι τεχνικές λεπτομέρειες (ανιχνευτές Cherenkov, calibration, GPU triggers) και οι συνεργασίες ανάμεσα σε 1000+ επιστήμονες.Παράδειγμα πρακτικής εφαρμογής της αντιύλης: ιατρικές απεικονίσεις τύπου PET scan.Post-ShowΕπικοινωνίαemail: hello@notatop10.fmInstagram: @notatop10Threads: @notatop10Bluesky: @notatop10.fmWeb: notatop10.fm (00:00:00) Pre-show(00:01:20) Intro(00:09:40) Ποιός είναι ο Αντώνης;(00:14:19) Πώς δουλέυει ο LHC;(00:26:16) Αντιύλη(00:39:17) Το τελευταίο paper(00:50:13) Το μέλλον του LHC(00:55:02) Πώς γίνονται τα paper reviews(00:59:02) Τα άλλα πειράματα στο LHC(01:01:13) Outro

Cocoon - Federazione di GPU Invidia, by Ton for TelegramRete di GPU, per l'AI, federate, a prezzo variabile, privacy compliant, che ricompenserà gli aderenti in Ton, la blockchain usata da Telegram.Troppi termini trend; la realtà e' che mancano persino sviluppatori. E' allo stato di idea.

Discover how biotech and healthcare teams are fast-tracking research and development through AI and high-performance cloud infrastructure. Ross Katz sits down with Hugo Shi of Saturn Cloud and Ilya Burkov of Nebius to explore scalable, secure solutions for GPU-heavy AI workloads. From compliance to cost savings, this episode unpacks what it takes to innovate at scale in life sciences. What You'll Learn in This Episode: >> Why AI workloads in biotech demand specialized infrastructure >> How Saturn Cloud and Nebius simplify compliance, scale, and security for life sciences >> Real-world examples of gene editing, RNA sequencing, and medical imaging powered by cloud AI >> The trade-offs between hyperscalers and NeoClouds for GPU availability and cost >> Strategies for deploying, optimizing, and managing large-scale AI models Meet Our Guests Hugo Shi is the CTO and Founder of Saturn Cloud and a co-founder of Anaconda. He brings deep expertise in data science, AI infrastructure, and open-source development, helping teams scale complex workloads with minimal friction. Ilya Burkov is Global Head of Healthcare & Life Sciences Growth at Nebius. With a background in medicine and cloud technology, Ilya leads strategy and partnerships to empower biotech teams with secure, high-performance compute solutions. About The Host Ross Katz is Principal and Data Science Lead at CorrDyn. Ross specializes in building intelligent data systems that empower biotech and healthcare organizations to extract insights and drive innovation. Connect with Our Guest: Sponsor: CorrDyn, a data consultancyConnect with Hugo Shi  on LinkedIn Connect with IIya Burkov on LinkedIn  Connect with Us: Follow the podcast for more insightful discussions on the latest in biotech and data science.Subscribe and leave a review if you enjoyed this episode!Connect with Ross Katz on LinkedIn Sponsored by… This episode is brought to you by CorrDyn, the leader in data-driven solutions for biotech and healthcare. Discover how CorrDyn is helping organizations turn data into breakthroughs at CorrDyn.

In today's Cloud Wars Live, Mahesh Thiagarajan, EVP, Oracle Cloud Infrastructure, speaks with Bob Evans about Oracle's bold strategy to lead in the AI infrastructure race. He details how Oracle is scaling zeta-level compute, launching a 1.5 gigawatt GPU campus, and engineering full-stack solutions that combine bare-metal hardware, custom networking, and advanced software. With OCI's rapid innovation and massive scale, Oracle is positioning itself as a serious challenger to cloud incumbents like AWS, Microsoft, and Google Cloud.Scaling AI at OracleThe Big Themes:Enterprise Data Continuity and Cloud Strategy: Enterprises rely on mission-critical data, such as databases, and migrating that data to the cloud remains a major strategic priority. The challenge isn't simply moving data: It's building a cloud platform that delivers real value to customers. As Thiagarajan and his team began developing Oracle Cloud Infrastructure to support these needs, they focused on core fundamentals: performance, cost efficiency, and security. This illustrates that for today's cloud providers, success isn't just about innovative features, but about engineering deep, resilient infrastructure.Customer‑First Execution: Thiagarajan repeatedly states there is no perfect playbook. The approach: wake up every day, talk to partners, figure out what customers need and execute. This mindset emphasises responsiveness and pragmatism. Given the rapid pace of change in cloud and AI, large providers cannot wait for general frameworks to emerge. They must iterate, partner, and build in real time.“Late” As An Advantage: Thiagarajan observes that arriving in cloud later gave Oracle the ability to learn from first movers' mistakes and benefit from newer hardware generations without legacy baggage. While first movers often carry large legacy systems, later entrants can design for new architectures (bare‑metal, custom networking) from the ground up. That doesn't guarantee success but presents an advantage if leveraged.The Big Quote: “You earn trust with [partners] by getting their products out to market fast into the hands of the customers, because that really translates to them, the end customer, being happy."More from Mahesh Thiagarajan and Oracle:Connect with Mahesh Thiagarajan on LinkedIn or take a look at his Oracle blog posts. Visit Cloud Wars for more.

In this episode, Ben sits down with David Choi, Co-Founder of USD.AI. USD.AI is an emblematic project for crypto's promise in the real world. The protocol leverages the strengths of DeFi to solve a bottle neck and pain point in the rabid AI infrastructure build out. By facilitating GPU backed loans, USD.AI unlocks capital efficiency for these companies scaling AI while providing real yield to on-chain lenders. David and the USD.AI team have caught lightning in a bottle and we're thrilled to share their story with the Scenius Studio audience.Disclaimer Ben Jacobs is a partner at Scenius Capital Management. All views expressed by Ben and the guests of this podcast are solely their opinions and do not reflect the opinions of Scenius Capital Management. Guests and the host may maintain positions in the assets or funds discussed in this podcast. You should not treat any opinion expressed by anyone on this podcast as a specific inducement to make a particular investment or follow a particular strategy but only as an expression of their personal opinion. This podcast is for informational purposes only.

Nvidia's name now stands beside the greatest in history. Its innovations in GPU design have made it the heartbeat of AI. Investors see no limit to how far it can go.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

It's no secret that the proliferation of AI has propelled data center demand to new heights these past two years. This resulted in unprecedented pressure on the nation's power grid, leading developers and operators in search of new solutions. In this environment, power availability is the most important factor in developing new data centers.In this inaugural episode of Alternative Disruptors, guest Alex Stoewer, CEO of Greenlight Data Centers, drives home this point. His new company develops 'right-size' data centers, with a speed-to-market approach, capitalizing on pockets of power across the U.S., especially in smaller markets, where it can deliver modern facilities without the constraints that hyperscale projects face."For the majority of data center functions, especially now with AI and GPU-based computing, it's really all about the power," Stoewer said. "The power is the real estate. If you go and gain control of a certain amount of power in a place where a data center is viable, in a place where the latency is reasonable, and you have all the other ingredients that you need—that power is the land, effectively."What's more, Greenlight actively avoids competing with big hyperscalers for that power by targeting locations where obtaining 20 to 50 megawatts quickly is viable. Besides this availability, incentives are also a big factor in the decision-making process. Take a listen as Commercial Property Executive Senior Associate Editor Tudor Scolca-Seușan talks about these issues with Stoewer.Here's a summary of their discussion:(00:00) Welcome to Alternative Disruptors(01:27) How Greenlight Data Centers came to be(04:29) Power-first approach(06:30) Finding pockets of power across the U.S.(09:13) Due diligence(13:30) A different strategy than hyperscale(15:44) The importance of incentives(19:36) Community and economic impact(21:33) Transparency in the data center sector(23:03) Looking ahead to 2026 and beyond(25:22) Lightning round: risks, traits, and myths

¡Pixel Perfect Videojuegos, tu programa de radio de ninguna radio, presenta el episodio 117 (28/10/2025)!¡Estamos en YouTube! P.P. Videojuegos @elpixelpodcast. Los podcasts completos, en Patreon a 320kbps antes que nadie. Gracias, como siempre, a nuestra pedazo de comunidad y a todos los Patreons que lo hacen posible. Damos la bienvenida a un nuevo Patreon: Pedro Ayllón. ¡Suscríbete y activa la campanita para no perderte nada!En Lo Más Fresco comentamos el lanzamiento mundial de la Xbox ROG Ally X, que ya está en las manos de los jugadores. Analizamos las opiniones reales de la comunidad: su potencia, autonomía, ergonomía y la integración total con el ecosistema Xbox. Repasamos los puntos fuertes —como su rendimiento en juegos de PC y el diseño mejorado— y los débiles, con un software problemático y dudas sobre si justifica su precio. Además, reflexionamos sobre para quién va realmente este dispositivo y si es más un portátil gaming que una consola Xbox.Y también en Made in Japan desvelamos una de las noticias encubiertas más interesantes del mes: el modo Power Saver de PS5, que limitaría el rendimiento de CPU, GPU y PSSR, podría ser en realidad una pista del nuevo hardware portátil de Sony. Las pruebas en juegos como Demon's Souls o Days Gone Remaster apuntan a un rendimiento similar al de una PlayStation portátil “Canis”, con arquitectura RDNA 5 y CPU recortada. Todo indica que la nueva portátil de Sony es una realidad mucho más cercana de lo que parecía.En Noticias repasamos el bombazo: Halo Campaign Evolved Remake llega en 2026 a PlayStation, Xbox y PC, marcando el fin de la exclusividad histórica de Halo. Analizamos qué supone este movimiento para Xbox, el futuro de su marca y el significado de que su emblema llegue a la competencia. También repasamos la filtración de la nueva Xbox Magnus, los mensajes de Sarah Bond y Phil Spencer sobre el futuro del hardware, y el anuncio de Battlefield REDSEC, que llega totalmente gratis. Además, probamos Lossless Scaling, el programa que multiplica los FPS en PC, y celebramos el regreso retro con el C64 Mini Black Edition.Y en Quemando Controles contamos a qué estamos jugando: Nacho con Vampire: The Masquerade – Bloodlines 2, y Dani explorando los orígenes del horror espacial con Dead Space Extraction, la precuela de 2009 que conecta directamente con el clásico original.Como siempre cerramos leyendo los comentarios de la comunidad y con nuestras reacciones en directo.Nuestro Driver de Guncon 3 para PC!https://github.com/gameotaku79/Guncon3Windows

In the first of a two-part roundtable discussion, our Global Head of Research joins our Global Head of Thematic Research and Head of Firmwide AI to discuss how the economic and labor impacts of AI adoption.Read more insights from Morgan Stanley.----- Transcript ----- Kathryn Huberty: Welcome to Thoughts on the Market. I'm Katy Huberty, Morgan Stanley's Global Head of Research, and I'm joined by Stephen Byrd, Global Head of Thematic Research, and Jeff McMillan, Morgan Stanley's Head of Firm-wide AI.Today and tomorrow, we have a special two-part episode on the number one question everyone is asking us: What does the future of work look like as we scale AI?It's Tuesday, November 4th at 10am in New York.I wanted to talk to you both because Stephen, your groundbreaking work provides a foundation for thinking through labor and economic impacts of implementing AI across industries. And Jeff, you're leading Morgan Stanley's efforts to implement AI across our more than 80,000 employee firm, requiring critical change management to unlock the full value of this technology.Let's start big picture and look at this from the industry level. And then tomorrow we'll dig into how AI is changing the nature of work for individuals.Stephen, one of the big questions in the news – and from investors – is the size of AI adoption opportunity in terms of earnings potential for S&P 500 companies and the economy as a whole. What's the headline takeaway from your analysis?Stephen Byrd: Yeah, this is the most popular topic with my children when we talk about the work that I do. And the impacts are so broad. So, let's start with the headline numbers. We did a deep dive into the S&P 500 in terms of AI adoption benefits. The net benefits based on where the technology is now, would be about little over $900 billion. And that can translate to well over 20 percent increased earnings power that could generate over $13 trillion of market cap upon adoption. And importantly, that's where the technology is now.So, what's so interesting to me is the technology is evolving very, very quickly. We've been writing a lot about the nonlinear rate of improvement of AI. And what's especially exciting right now is a number of the big American labs, the well-known companies developing these LLMs, are now gathering about 10 times the computational power to train their next model. If scaling laws hold that would result in models that are about twice as capable as they are today. So, I think 2026 is going to be a big year in terms of thinking about where we're headed in terms of adoption. So, it's frankly challenging to basically take a snapshot because the picture is moving so quickly.Kathryn Huberty: Stephen, you referenced just the fast pace of change and the daily news flow. What's the view of the timeline here? Are we measuring progress at the industry level in months, in years?Stephen Byrd: It's definitely in years. It's fast and slow. Slow in the sense that, you know, it's taken some companies a little while now and some over a year to really prepare. But now what we're seeing in our CIO survey is many companies are now moving into the first, I'd say, full fledged adoption of AI, when you can start to really see this in numbers.So, it sort of starts with a trickle, but then in 2026, it really turns into something much, much bigger. And then I go back to this point about non-linear improvement. So, what looks like, areas where AI cannot perform a task six months from now will look very different. And I think – I'm a former lawyer myself. In the field of law, for example, this has changed so quickly as to what AI can actually do. So, what I expect is it starts slow and then suddenly we look at a wide variety of tasks and AI is fairly suddenly able to do a lot more than we expect.Kathryn Huberty: Which industries are likely to be most impacted by the shift? And when you broke down the analysis to the industry and job level, what were some of the surprises?Stephen Byrd: I thought what we would see would be fairly high-tech oriented sectors – and including our own – would be top of the list. What I found was very different. So, think instead of sectors where there's fairly low profit per employee, often low margin businesses, very labor-intensive businesses. A number of areas in healthcare staples came to the top. A few real estate management businesses. So, very different than I expected.The very high-tech sectors actually had some of the lowest numbers, simply because those companies in high-tech tend to have extremely high profit per employee. So, the impact is a lot less. So that was surprising learning. A lot of clients have been digging into that.Kathryn Huberty: I could see why that would've surprised you. But let's focus on banking for a moment since we have the expert here. Jeff, what are some of the most exciting AI use cases in banking right now?Jeff McMillan: You know, I would start with software development, which was probably the first Gen AI use case out of the gate. And not only was it first, but it continues to be the most rapidly advancing. And that's probably; mostly a function of the software, you know, development community. I mean, these are developers that are constantly fiddling and making the technology better.But productivity continues to advance at a linear pace. You know, we have over 20,000 folks here at Morgan Stanley. That's 25 percent of our population. And, you know, the impact both in terms of the size of that population and the efficiencies are really, really significant.So, I would start there. And then, you know, once you start moving past that, it may not seem, you know, sexy. It's really powerful around things like document processing. Financial services firms move massive amounts of paper. We take paper in, whether it be an account opening, whether it be a contract. Somebody reads that information, they reason about it, and then they type that information into a system. AI is really purpose built for that.And then finally, just document generation. I mean, the number of presentations, portfolio reviews, you know, even in your world, Katy, research reports that we create. Once again, AI is really just – it's right down the middle in terms of its ability to generate just content and help people reduce the time and effort to do that.Kathryn Huberty: There's a lot of excitement around AI, but as Stephen mentioned, it's not a linear path. What are the biggest challenges, Jeff, to AI adoption for a big global enterprise like Morgan Stanley? What keeps you up at night?Jeff McMillan: I've often made the analogy that we own a Ferrari and we're driving around circles in a parking lot. And what I mean by that is that the technology has so far advanced beyond our own capacity to leverage it. And the biggest issue is – it's our own capacity and awareness and education.So, what keeps me up at night? it's the firm's understanding. It's each person's and each leader's ability to understand what this technology can do. Candidly, it's the basics of prompting. We spend a lot of time here at the firm just teaching people how to prompt, understanding how to speak to the machine because until you know how to do that, you don't really understand the art of the possible. I tell people, if you have $100 to spend, you should start spending [$]90, on educating your employee base. Because until you do that, you cannot effectively get the best out of the technology.Kathryn Huberty: And as we look out to 2026, what AI trends are you watching closely and how are we preparing the firm to take advantage of that?Jeff McMillan: You and I were just out in Silicon Valley a couple of weeks ago, and seemingly overnight, every firm has become an agentic one. While much of that is aspirational, I think it's actually going to be, in the long term, a true narrative, right? And I think that step where we are right now is really about experimentation, right? I think we have to learn which tools work, what new governance processes we need to put in place, where the lines are drawn. I think we're still in the early stage, but we're leaning in really hard.We've got about 20 use cases that we're experimenting with right now. As things settle down and the vendor landscape really starts to pan out, we'll be down position to fully take advantage of that.Kathryn Huberty: A key element of the agentic solutions is linking to the data, the tools, the application that we use every day in our workflow. And that ecosystem is developing, and it feels that we're now on the cusp of those agentic workflow applications taking hold.Stephen Byrd: So, Katy, I want to jump in here and ask you a question too. With your own background as an IT hardware analyst, how does the AI era compare to past tech or computing cycles? And what sort of lessons from those cycles shape your view of the opportunities and challenges ahead?Kathryn Huberty: The other big question in the market right now is whether an AI bubble is forming. You hear that in the press. It's one of the questions all three of us are hearing regularly from clients. And implicit in that question is a view that this doesn't look like past cycles, past trends. And I just don't believe that to be the case.We actually see the development of AI following a very similar path. If you go back to mainframe and then minicomputer, the PC, internet, mobile, cloud, and now AI. Each compute cycle is roughly 10 times larger in terms of the amount of installed compute.The reality is we've gone from millions to billions to trillions, and so it feels very different. But the reality is we have a trillion dollars of installed CPU compute, and that means we likely need $10 trillion of installed GPU compute. And so, we are following the same pattern. Yes, the numbers are bigger because we keep 10x-ing, but the pattern is the same. And so again, that tells us we're in the early innings. You know, we're still at the point of the semiconductor technology shipping out into infrastructure. The applications will come.The other pattern from past cycles is that exponential growth is really difficult for humans to model. So, I think back to the early days when Morgan Stanley's technology team was really bullish, laying the groundwork for the PC era, the internet era, the mobile era. When we go back and look at our forecasts, we always underestimated the potential. And so that would suggest that what we've seen with the upward earnings revisions for the AI enablers and soon the AI adopters is likely to continue.And so, I see many patterns, you know, that are thread across computing cycles, and I would just encourage investors to realize that AI so far is following similar patterns.Jeff McMillan: Katy, you make the point that much of the playbook is the same. But is there anything fundamentally different about the AI cycle that investors should be thinking about?Kathryn Huberty: The breadth of impact to industries and corporates, which speaks to Stephen's work. We have now four times over mapped the 3,700 companies globally that Morgan Stanley research covers to understand their role in this theme.Are they enabling AI? Are they adopting? Are they disrupted by it? How important is it to the thesis? Do they have pricing power? It's very valuable data to go and capture the alpha. But I was looking at that dataset recently and a third of those nearly 4,000 companies we cover, our analysts are saying that AI has an impact on the investment thesis. A third. And yet we're still in the early innings. And so, what may be different, and make the impact much bigger and broader is just the sheer number of corporations that will be impacted by the theme.Let's pause here and pick up tomorrow with more on workforce transformation and the impact on individual workers.Thank you to our listeners. Please join us tomorrow for part two of our conversation. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

The equipment that fills data centers is evolving rapidly, driven by the need to fulfill the seemingly insatiable appetite of AI applications. The Open Compute Project (OCP) was founded by Meta/Facebook to promulgate equipment standards and its annual Summit has grown from a small specialized gathering, to an event that strains the capacity of the San Jose Convention Center. Senior research analyst Perkins Liu returns to offer his take on this meteoric growth with host Eric Hanselman. AI requirements are pushing ever greater scale both logically and physically, with the width of server racks doubling in the Open Rack Wide (ORW) specification to support greater density and better serviceability. The OCP Foundation is also working on silicon interoperability and is setting specifications for chiplet integration. Liquid cooling has moved from a nice to have feature to a required capability as a means to dissipate the huge amount of energy drawn by ever denser GPU arrays. Energy delivery is changing with the advent of higher voltage DC power. The early OCP efforts on 48 volt DC are paling in the face of new 800 volts designs. The OCP Foundation is also expanding its mission to include education, with the establishment of the OCP Academy. It aims to raise workforce skills in open hardware and will offer online training in data center technologies. That underscores not only the expansion of the OCP Foundation's mission, but also the increasing scale of the ecosystem that supports data center environments and complexity and interdependency that AI creates.   More S&P Global Content: Sustainability continues to drive datacenter infrastructure evolution Webinar: Talk to the Expert - Artificial intelligence, datacenters and energy: Is APAC ready for th… For S&P Global subscribers: Air cooling remains prevalent, but liquid cooling is gaining momentum – Highlights from VotE: Datac… Adjusted definitions of datacenter markets in China align with socioeconomic processes Datacenters increasingly use direct current to cope with AI workloads Credits: Host/Author: Eric Hanselman  Guest: Perkins Liu Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith

At this year's Data Center Frontier Trends Summit, Honghai Song, founder of Canyon Magnet Energy, presented his company's breakthrough superconducting magnet technology during the “6 Moonshot Trends for the 2026 Data Center Frontier” panel—showcasing how high-temperature superconductors (HTS) could reshape both fusion energy and AI data-center power systems. In this episode of the Data Center Frontier Show, Editor in Chief Matt Vincent speaks with Song about how Canyon Magnet Energy—founded in 2023 and based in New Jersey and Stony Brook University—is bridging fusion research and AI infrastructure through next-generation magnet and energy-storage technology. Song explains how HTS magnets, made from REBCO (Rare Earth Barium Copper Oxide), operate at 77 Kelvin with zero electrical resistance, opening the door to new kinds of super-efficient power transmission, storage, and distribution. The company's SMASH (Superconducting Magnetic Storage Hybrid) system is designed to deliver instant bursts of energy—within milliseconds—to stabilize GPU-driven AI workloads that traditional batteries and grids can't respond to fast enough. Canyon Magnet Energy is currently developing small-scale demonstration projects pairing SMES systems with AI racks, exploring integration with DC power architectures and liquid-cooling infrastructure. The long-term roadmap envisions multi-mile superconducting DC lines connecting renewables to data centers—and ultimately, fusion power plants providing virtually unlimited clean energy. Supported by an NG Accelerate grant from New Jersey, the company is now seeking data-center partners and investors to bring these technologies from the lab into the field.

Bonjour à toutes et à tous ! C'est un plaisir de vous retrouver pour ce nouvel épisode, de "IA pas que la Data". Votre engagement et vos retours nous poussent à aller au-delà des annonces spectaculaires pour distinguer le signal du bruit dans l'écosystème IA.Dans ce nouvel épisode , Thomas Meimoun et Pierre Vannier décortiquent justement les véritables enjeux stratégiques et financiers derrière les gros titres. De la bulle spéculative autour de Nvidia à la stratégie d'OpenAI pour centraliser le web, nous analysons les risques systémiques et les opportunités réelles du moment.Au programme de cet épisode :(00:00) - Fatigue de la hype : Questionner la valeur ajoutée réelle des nouveautés IA (03:32) - Économie d'OpenAI : Valorisation vs. coût du compute et absence de rentabilité (08:08) - La survalorisation de Nvidia : Analyse d'un risque systémique pour l'infrastructure IA (18:41) - Stratégie d'écosystème OpenAI : Vers un Internet centralisé et un risque de vendor lock-in (27:28) - Sécurité et data privacy : Les risques liés aux nouveaux agents "on-device" type ChatGPT Atlas (31:53) - Compliance : Le défi de l'applicabilité du RGPD et de l'IA Act sur des stacks globalisées (35:45) - Financialisation de l'infrastructure : Quand le GPU devient un actif de collatéral (48:29) - Justification du ROI : L'IA comme narratif pour des optimisations de headcount (54:17) - Risques de déploiement GenAI : Analyse des fiascos de Deloitte (qualité) et Microsoft (légal) (58:47) - Stratégie et culture tech : Gérer le "schisme" entre l'humain et l'objectif de productivité Bonne écoute Cet épisode vous a plu ? Dites-le nous en commentaire, notez le 5 étoiles et partagez-le !Flint est une ESN Tech, Data et IA. Les flinters, des expert(e)s reconnu(e)s, accompagnent nos clients dans la réalisation de leurs défis technologiques et dans l'adoption de l'IA (niveau équipe et CODIR). Toutes les informations sur flint.sh

1부 [텍코노미] 젠슨황의 GPU 선물.. AI 판도 바꿀까 - 김덕진 IT커뮤니케이션 연구소 소장 2부 [쩐설의 김선생] 우리가 배달의 민족이 되기까지 - 재원쌤

AI infrastructure spending is rapidly increasing, with major technology companies such as Google, Microsoft, and Amazon projected to invest over $300 billion by the end of 2025. This surge is primarily driven by the demand for data centers and GPU capacity to support artificial intelligence initiatives. While the Federal Reserve indicates that current investments differ from the dot-com boom due to stronger earnings among leading firms, analysts caution that excessive debt-fueled expansion could pose risks if AI does not deliver the anticipated returns. The insurance sector is particularly optimistic, with 67% of CEOs expecting returns on AI investments within three years, a significant increase from 20% the previous year.Alphabet reported a quarterly revenue of $102.35 billion, exceeding expectations, with a notable 34% growth in cloud revenue. Amazon's cloud division, AWS, also showed resilience, generating $33 billion in net sales despite a global outage. Microsoft reported $49 billion in cloud revenue, with Azure experiencing a 40% year-over-year growth. However, Microsoft faced challenges with capacity shortages, which could limit revenue potential. Additionally, OpenAI reported a net loss of $11.5 billion, impacting Microsoft's financials due to its significant investment in the AI company.In the small business sector, sales transactions increased by 8% in the third quarter of 2025, although owner confidence has declined due to inflation and rising operational costs. Many small business owners are motivated to sell before conditions worsen, with a notable number of buyers identified as corporate refugees seeking stability in essential service sectors. This trend presents an opportunity for IT providers to offer tailored technology solutions to these new business owners, who may lack expertise in setting up necessary systems.For Managed Service Providers (MSPs) and IT service leaders, the current environment presents both challenges and opportunities. As AI drives infrastructure upgrades, providers must help clients navigate the complexities of AI investments, ensuring they understand when AI initiatives are financially viable versus when they may be overhyped. Additionally, the increase in small business sales indicates a demand for reliable technology setups, providing MSPs with a chance to offer essential services that facilitate smoother transitions for new business owners. Three things to know today00:00 AI Spending Soars Past $300 Billion as Cloud Titans Post Record Earnings and Mounting Risks06:15 AI Gold Rush: Big Tech's Billion-Dollar Bet Fuels Cloud Expansion, CEO Optimism, and Debt Warnings10:26 Small Business Sales Surge as Inflation Saps Confidence and Corporate Refugees Step In This is the Business of Tech.    Supported by:  https://scalepad.com/dave/https://getflexpoint.com/msp-radio/

2부 [이슈 인터뷰1] GPU 26만장, AI 시장 어떻게 바뀌나 - 임문영 국가AI전략위원회 상근부위원장 [6분집중] 경제방송 믿고 땅 샀는데... - 유승민 작가

We are back with episode 188, Eric, Zac and Deric share their latest building blunders, biggest pet peeves and judge your house.Eric shares the dramatic tale of his oversized, custom-built closet cabinets. Due to the unexpected density of his plywood , the cabinets were nearly 300 pounds. In a wild twist of measuring tape versus reality, he had to whip out his multi-tool and literally cut a hole in ceiling just to get the final piece wedged into the closet!Zac dives back into his custom desk PC build, detailing his struggle with a new, wider graphics card creating clearance issues in his drawer. Can he find a specialty, low-profile drawer slides to save the project and avoid taking a belt sander to a $2,500 GPU?We get down and dirty discussing the things that stand out and kinda bug us when visiting someone else's home. Don't worry, we would never say anything to your face, just our podcast audience.Got a question that you want us to answer? Send us an email at ⁠⁠offthecutpodcast@gmail.com⁠ -------------------------AftershowGet access to the aftershow and unlock tons of cool perks over on Patreon-⁠⁠⁠⁠⁠https://www.patreon.com/offthecutpodcast⁠  ⁠⁠⁠-------------------------Hang Out with UsWatch the live stream of the podcast on YouTube!⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCcRJPIp6OaffQtvCZ2AtWWQ⁠⁠⁠⁠⁠-------------------------Pick Up Some Merch!Off The Cut Podcast- ⁠⁠⁠⁠⁠https://www.spencleydesignco.com⁠⁠⁠⁠⁠   -------------------------Follow ZacInstagram - ⁠⁠⁠⁠⁠https://www.instagram.com/zacbuilds⁠ YouTube - ⁠⁠⁠⁠⁠https://www.youtube.com/c/@ZacBuilds⁠⁠⁠⁠⁠ TikTok - ⁠⁠⁠⁠⁠https://www.tiktok.com/@zacbuilds⁠⁠⁠⁠  -------------------------Follow EricInstagram - ⁠⁠⁠⁠⁠https://www.instagram.com/spencleydesignco⁠⁠⁠⁠⁠ YouTube - ⁠⁠⁠⁠⁠https://youtube.com/@spencleydesignco⁠⁠⁠⁠ TikTok - ⁠⁠⁠⁠⁠https://www.tiktok.com/@spencleydesignco⁠⁠  ⁠-------------------------Follow DericInstagram/YouTube/TikTok @PecanTreeDesign ⁠⁠⁠⁠⁠https://linktr.ee/pecantreedesign⁠⁠⁠⁠⁠ ---------------------------This episode is proudly sponsored by:KM Tools - Check out everything they have to offer at ⁠⁠⁠kmtools.com/SPENCLEYDESIGNCO⁠ ⁠WTB Woodworking⁠ - Check out the giveaway over at:⁠https://www.wtbwoodworking.com/giveaway⁠ Gorilla Glue - Built By You; Backed By Gorilla www.gorillatough.com Interested in starting your own podcast? Check out Streamyard: ⁠⁠⁠⁠⁠https://streamyard.com/pal/c/5926541443858432⁠  ⁠⁠ ⁠#Woodworking #DIY #3DPrinting #Maker #ContentCreation #YouTuber #OffTheCutPodcast #Sponsored #KMTools #WTBWoodworking #GorillaGlue 

1-2부 [뉴스신세계] 1. 엔비디아, 韓에 GPU 26만장 푼다…삼성·SK·현대차와 'AI 동맹' 2. 대통령실 "내일 한중회담서 한반도 비핵화·평화 논의" 3. 李대통령 "韓日, 이웃임을 부정할수도 협력의 손 놓을수도 없어“ - MBC 현영준 기자 (출연) [이슈하이킥1] 검찰개혁·특검·국감…권력 견제의 방향은? - 조국혁신당 박은정 의원 (출연)

Deze talkshow wordt mede mogelijk gemaakt door MSI. Alle meningen in deze video zijn onze eigen. MSI heeft inhoudelijk geen inspraak op de content en zien de video net als jullie hier voor het eerst op de site.Ga maar lekker zitten voor het traditionele startschot van het weekend. Anderhalf uur aan luid gekwebbel over videogames zal straks je trommelvliezen gaan kietelen. Jelle, JJ en Koos zitten in de studio klaar. Ready om een nieuwe editie op te nemen van Einde van de Week Live. De talkshow waarin we elke week het belangrijkste game gerelateerde nieuws met jullie, de kijkers, doornemen. En we hebben een fijn lijstje aan topics voor je klaarstaan. Zo discussiëren de drie over de slechte public reviews van Battlefield REDSEC. Ze praten over de Matrix-game die Kojima niet mocht maken van Konami. En ze bespreken het gerucht over de komst van de derde trailer voor GTA 6. Dit alles en veel, veel meer ga je voorbij zien en horen komen in de Einde van de Week Live van vrijdag 31 oktober 2025.Gamers zijn niet bepaald lief voor Battlefield REDSECAndere onderwerpen in deze talkshow zijn onder meer de bekendmaking van de drie genomineerden voor de Dutch Game Awards, Halo dat gebruikt/misbruikt wordt door ICE in de VS en een nieuwe Crash Bandicoot TV serie op Netflix.Scoor 50 euro korting op de Sword 17 HX gaming laptop van MSIOok deze week zet MSI de nieuwe Sword 17 HX gaming laptop in de schijnwerpers. Deze laptop bevat een Intel® Core™ i7-14700HX processor, een NVIDIA® GeForce RTX 4060™ GPU, 1 TB SSD en een 7 inch WUXGA beeldscherm. Al met al een prima tool om de meeste nieuwe games te kunnen spelen. De Sword 17 HX is hier met 50 euro korting te krijgen bij Paradigit.Wat kan Philips Hue verlichting doen voor jouw concentratie en slaapritmeDat de verlichting van Philips Hue de sfeer in en om jouw woning kan verhogen, dat moge bekend zijn. Bij Gamekings gebruiken veel van de hosts de lampen zelf thuis. Maar dat licht zaken als jouw concentratievermogen en slaapritme kan verbeteren is misschien nieuw. Check hier alle mogelijkheden die Hue jou biedt.Timestamps:00:00:00 Einde van de Week Live van 31 oktober00:03:58 Huishoudelijke mededeling: MSI00:08:46 Battlefield REDSEC krijgt vooral negatieve reviews.00:13:32 DICE heeft ook de controversiële skin weggehaald00:16:10 Kojima had een Matrix-game kunnen maken.00:18:19 Hij is er weer: Half-Life 3 nieuws van Tyler McVicker.00:22:22 Steeds meer bedrijven integreren AI in het maken van games00:29:29 GTA op de 25 jarige verjaardag van de PS2 in de VS (26 oktober) 00:35:00 Dutch Game Awards 2025, 3 december Chasse Theater Breda00:42:27 Is de Forza Motorsport franchise nu verdwenen?00:44:29 Amerikaanse ICE gebruikt Halo in hun communicatie.00:53:58 BULLETTÎME: PHILIPS HUE01:06:01 Call of Duty film is bevestigd.01:07:05 Bully Online01:08:20 Er komt een Crash Bandicoot tv serie01:10:04 Over TV series gesproken. Seizoen vier van The Witcher scoort goede reviews. 01:10:44 27 feb komt Resident Evil Requiem uit, ook op de Switch 2.01:11:00 Over controllers gesproken 01:16:22 Sega's advertentie

Graphics processing units are essential to training and deploying artificial intelligence models, but they don't come cheap. Big Tech companies like Meta, Microsoft and xAI have spent billions, amassing hundreds of thousands or even millions of them. For those without such deep pockets, access to this kind of computing power has gotten out of reach. Recently, the state of California launched an initiative called CalCompute to look into building its own public GPU cluster for startups and non-profit researchers to use. There are similar public compute pilots in New York state and at the federal level. Marketplace's Meghan McCarty Carino tells us more.

Graphics processing units are essential to training and deploying artificial intelligence models, but they don't come cheap. Big Tech companies like Meta, Microsoft and xAI have spent billions, amassing hundreds of thousands or even millions of them. For those without such deep pockets, access to this kind of computing power has gotten out of reach. Recently, the state of California launched an initiative called CalCompute to look into building its own public GPU cluster for startups and non-profit researchers to use. There are similar public compute pilots in New York state and at the federal level. Marketplace's Meghan McCarty Carino tells us more.

In this conversation from a16z's Runtime conference, Gavin Baker, Managing Partner and CIO of Atreides Management, joins David George, General Partner at a16z, to unpack the macro view of AI: the trillion-dollar data center buildout, the new economics of GPUs, and what this boom means for investors, founders, and the global economy. Resources:Follow Gavin on X: https://x.com/GavinSBakerFollow Atreides Management on X: https://x.com/atreidesmgmtFollow David on X: https://x.com/DavidGeorge83 Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome to another exciting episode of Data Driven! On this week's show, hosts Frank La Vigne and Candace Gillhoolley take you inside the NVIDIA GTC conference in Washington, DC—an event that's rapidly evolved from a hardware showcase into a crossroads for AI, robotics, and quantum computing innovation. Frank shares his firsthand experience navigating the expo floor, offering a glimpse into the latest cutting-edge tech, from GPU supercomputers to quantum networking breakthroughs and swarms of robots. Candace and Frank discuss the growing intersections between fields like quantum biology and AI, and share stories about the curious mix of attendees—from government officials and policymakers to technologists, students, and even a few cosplay “Jensen Huangs.”Whether you're a data enthusiast, a future-focused technologist, or simply quantum curious, this episode dives into the national security implications of AI, the importance of lifelong learning in tech, and how the rise of quantum and robotics will disrupt careers and industries alike. Tune in for insider anecdotes, expert encounters, and a dose of practical wisdom about adapting in the world of emerging technologies—the future is here, and it's happening faster than ever.LinksFrank gets a shout out from Pluralsight -https://www.pluralsight.com/resources/blog/upskilling/frank-lavigne-customer-storyJensen Huang's DTC DC Keynote -https://www.youtube.com/watch?v=lQHK61IDFH4Mariya & Python Simplified -https://www.youtube.com/@pythonsimplifiedTime Stamps00:00 "Nvidia GTC Highlights and Expo"03:36 "Quantum, AI, and Innovation Highlights"07:18 Tech and Government Amid Furlough10:24 "Tech Components in Booz Allen Vehicle"14:37 Meeting Maria Shah19:11 Career Shifts and Evolutions23:06 From Books to Tech Publishing24:44 Quantum Insights with Researcher29:01 "Nvidia: Emerging Defense Contractor"32:25 Tech Innovations: AI, Quantum, Robotics36:44 "Live Streaming Quantum & Tech"37:40 "High-Speed Quantum Interconnects"41:01 Technical Translation for Accessibility44:19 "High School, Future, Nvidia Innovation"49:28 "Guest's Learning Experience"50:45 "Quantum Business Strategy"53:36 British AI Outro Stream

Welcome to a special crossover episode of Impact Quantum, where we dive straight into the action from the floor of Nvidia GTC in Washington, D.C.! In this episode, hosts Frank La Vigne and Candace Gillhoolley take you behind the scenes of one of the tech world's most exciting conferences—from AI-driven robots and GPU-powered supercomputers to a surprising amount of quantum computing buzz.Join us as Frank shares his firsthand experiences, including the latest hardware reveals, government involvement, unique swag, and even the cosplay antics of attendees impersonating Nvidia's CEO. Candace and Frank also unpack the growing intersections of AI, quantum computing, robotics, and national security, while highlighting the importance of adaptability and lifelong learning in the face of rapid technological change.Whether you're a seasoned technologist, a quantum curious newcomer, or just here for the epic robot sightings, this episode is packed with insights, laughs, and actionable advice for navigating a future shaped by emerging technologies. Hit play and get ready for a front-row look at the innovations, opportunities, and human stories fueling the data-driven quantum revolution!LinksFrank gets a shout out from Pluralsight – https://www.pluralsight.com/resources/blog/upskilling/frank-lavigne-customer-storyJensen Huang's DTC DC Keynote – https://www.youtube.com/watch?v=lQHK61IDFH4Mariya & Python Simplified – https://www.youtube.com/@pythonsimplifiedTime Stamps00:00 Nvidia GTC Highlights03:36 "AI, Quantum, and Innovation"09:15 "Robots, Shorts, and Streaming Woes"11:43 Digital Twins Attract Buzz13:56 DGX Bars: The Hot Giveaway19:10 Career Shifts in Tech23:05 From Publishing to Tech Transition24:43 "Quantum, Satellites, and Lasers"29:01 "Nvidia as Defense Contractor"32:25 Tech Innovations Powering the Future34:59 AI & Quantum Computing Insights37:37 "Quantum Networking Revolution Explained"42:18 "Unique Tech-Security Conference Highlights"46:05 "Re-recording for Authenticity"49:26 "Learning from a System Launch"50:33 "Quantum Impact for Innovators"

En este episodio, exploramos a fondo Ghostty, el emulador de terminal que está generando entusiasmo en la comunidad Linux y de código abierto. Si buscas una terminal que combine velocidad y funcionalidad sin compromisos, Ghostty es la respuesta.Te explico cómo Ghostty logra ser ULTRA-RÁPIDO utilizando la aceleración por GPU y por qué su diseño nativo lo hace sentir tan integrado en tu escritorio Linux (GTK4 en el caso de Linux).Puntos clave que cubriremos:La importancia del Renderizado por GPU y cómo mejora el rendimiento en Linux.Características avanzadas de productividad: Gestión nativa de pestañas, ventanas y paneles (splits).El innovador Protocolo Gráfico Kitty, que te permite ver imágenes directamente en la terminal.Cómo la configuración sencilla y el soporte para ligaduras y temas automáticos impulsan tu flujo de trabajo.Ghostty es una alternativa sólida y moderna a Kitty o Alacritty, ofreciendo velocidad y una serie de características avanzadas que lo posicionan como uno de los emuladores de terminal del futuro.Más información y enlaces en las notas del episodio

Recorded live at Sequoia's Europe100 event: Michael Kagan, co-founder of Mellanox and CTO of Nvidia, explains how the $7 billion Mellanox acquisition helped transform Nvidia from a chip company into the architect of AI infrastructure. Kagan breaks down the technical challenges of scaling from single GPUs to 100K and eventually million-GPU data centers. He reveals why network performance—not just compute power—determines AI system efficiency. He discusses the shift from training to inference workloads, and his vision for AI as humanity's "spaceship of the mind," and why he thinks AI may help us discover laws of physics we haven't yet imagined. Hosted by Sonya Huang and Pat Grady

Analizamos las primeras pruebas de los nuevos dispositivos de Apple con el chip M5, destacando su significativo salto en potencia, especialmente en tareas de GPU e inteligencia artificial local, donde notamos que aplicaciones como DrawThings funcionan el doble de rápido. Comentamos que el rendimiento en juegos del MacBook Pro es comparable a una Nvidia 4050, lo cual es notable para un portátil que no se calienta. Explicamos que, si bien no es una actualización esencial para usuarios de M3 o M4, los poseedores de un M1 podrían considerar el cambio debido a la duplicación de rendimiento. También revisamos el nuevo iPad Pro con M5, elogiando su pantalla, la mejor de la gama Apple, y su soporte para Wi-Fi 7, aunque observamos que se calienta considerablemente bajo cargas de IA generativa intensa.Profundizamos en las novedades del Vision Pro con el chip M5, señalando mejoras en la definición de texto y la calidad del "passthrough", lo que nos genera cierto "FOMO" (bueno, a Ángel) aunque no justifique su elevado precio de actualización.Analizamos las bajadas de precio del Vision Pro en Europa y Reino Unido, sugiriendo que las tasas de cambio del euro y la libra frente al dólar podrían estar influyendo más que la eliminación del cargador en otros productos. Además, comentamos la sorprendente noticia de que el Vision Pro M5 se está fabricando en Vietnam, interpretando este movimiento como parte de la estrategia de Apple para diversificar su producción fuera de China, a pesar de las complejidades logísticas y políticas que esto implica.Estudiamos la preocupante situación de las ventas del iPhone Air, con rumores de importantes recortes de producción, y especulamos sobre si la preferencia del consumidor por más cámaras o la mejor relación calidad-precio del iPhone 17 normal están afectando su demanda. Comparamos esta tendencia con la posible cancelación del modelo "Edge" de Samsung, sugiriendo una aversión general del mercado a los teléfonos muy delgados con menos prestaciones. Finalmente, discutimos los desafíos internos de Apple con el desarrollo de la próxima versión de Siri, que incorporará capacidades tipo ChatGPT. Sostenemos que la búsqueda de la "perfección" por parte de Apple y el miedo a un fallo reputacional están retrasando un lanzamiento que, a nuestro juicio, debería ocurrir pronto, aceptando que todos los modelos de IA tienen sus limitaciones. Probamos el iPad Pro M5: más potencia, mismo iPad Pro Gadgets Probamos el MacBook Pro M5: centrado en IA Creadores Jon Prosser misses deadline, Apple's lawsuit to move ahead - 9to5Mac Apple Slated To Launch Its Clamshell Foldable iPhone In 2028, Bringing Back The Flip Era With A Modern Twist M5 Apple Silicon: It's All About the Cache And Tensors - Creative Strategies Apple instalará 100 cámaras ante la Juve como prueba de su proyecto Bernabéu Infinito Apple slashes iPhone Air production plans, boosts other 17 models: sources - Nikkei Asia Samsung Galaxy XR - Wikipedia, la enciclopedia libre

Send us a textSecurity gets sharper when we stop treating AI like magic and start treating it like an untrusted user. We sit down with Eric Galinkin to unpack the real-world ways red teams and defenders are using language models today, where they fall apart, and how to build guardrails that hold up under pressure. From MCP servers that look a lot like ordinary APIs to the messy truths of model hallucination, this conversation trades buzzwords for practical patterns you can apply right now.Eric shares takeaways from Offensive AI Con: how models help triage code and surface likely bug classes, why decomposed workflows beat “find all vulns” prompts, and what happens when toy benchmarks meet stubborn, real binaries. We explore reinforcement learning environments as a scalable way to train security behaviors without leaking sensitive data, and we grapple with the uncomfortable reality that jailbreaks aren't going away—so output validation, sandboxing, and principled boundaries must do the heavy lifting.We also dig into Garak, the open-source system security scanner that targets LLM-integrated apps where it hurts: prompted cross-site scripting, template injection in Jinja, and OS command execution. By mapping findings to CWE, Garak turns vague model “misbehavior” into concrete fixes tied to known controls. Along the way, we compare GPT, Claude, and Grok, talk through verification habits to counter confident nonsense, and zoom out on careers: cultivate niche depth, stay broadly literate, and keep your skepticism calibrated. If you've ever wondered how to harness AI without handing it the keys to prod, this one's for you.Enjoyed the episode? Follow, share with a teammate, and leave a quick review so more builders and defenders can find the show.Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifySupport the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast Affiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

Dell Technologies has announced Dell AI Data Platform advancements designed to help enterprises turn distributed, siloed data into faster, more reliable AI outcomes. Why it matters As enterprise AI adoption surges and data grows, organisations need a platform that can securely transform distributed, siloed data into actionable insights. The Dell AI Data Platform, a critical component of the Dell AI Factory, delivers an open, modular foundation to create value from scattered data silos. By decoupling data storage from processing, it eliminates bottlenecks and provides the flexibility needed for AI workloads like training, fine-tuning, retrieval-augmented generation (RAG) or inferencing. The platform, integrated with the NVIDIA AI Data Platform reference design, is powered by four core building blocks: Storage engines for smart data placement and seamless data movement Data engines to turn data into actionable insights Built-in cyber resiliency Data management services Together, they create a scalable, flexible foundation for customers to realise AI's full potential. Dell AI Data Platform storage engines deliver peak AI performance Dell PowerScale and Dell ObjectScale, the Dell AI Data Platform's storage engines, offer the performance, security and multi-protocol access essential for AI data. Dell PowerScale delivers NAS (network-attached storage) simplicity and parallel performance for AI workloads like training, fine-tuning, inferencing and retrieval-augmented generation (RAG) pipelines. With new integration of NVIDIA GB200 and GB300 NVL72 and ongoing software updates, Dell PowerScale delivers reliable performance, simplified management at scale and seamless compatibility with applications and solution stacks. PowerScale F710, which has achieved NVIDIA Cloud Partner (NCP) certification for high-performance storage, delivers 16k+ GPU-scale with up to 5X less rack space, 88% fewer network switches and up to 72% lower power consumption compared to competitors. Dell ObjectScale, the industry's highest-performing object platform, provides extremely performant, scalable S3-native object storage for massive AI workloads. ObjectScale is available as an appliance or through a new software-defined option on Dell PowerEdge servers that is up to 8 times faster than previous-generation all-flash object storage. New advancements improve ObjectScale's speed, scalability and efficiency. S3 over RDMA support will soon enter tech preview. It will offer up to 230% higher throughput, 80% lower latency and 98% lower CPU usage compared to traditional S3. Small object performance and efficiency improvements for large deployments deliver up to 19% higher throughput and up to 18% lower latency for 10KB objects. Deeper AWS S3 integration and bucket-level compression give developers and data scientists better tools to store, move and use large amounts of data. Dell AI Data Platform data engines power real-time AI Dell is also expanding its data engines, the specialised tools in the Dell AI Data Platform that organise, query and activate AI data. Dell's data engines are built in collaboration with trusted AI leaders like NVIDIA, Elastic and Starburst. The new Data Search Engine, developed in collaboration with Elastic, speeds decision-making by allowing customers to interact with data as naturally as asking a question. Designed for tasks like RAG, semantic search and generative AI pipelines, it integrates with MetadataIQ data discovery software to search billions of files on PowerScale and ObjectScale using granular metadata. Developers can build smarter RAG applications in tools like LangChain with the engine, ingesting only updated files to save compute time and keep vector databases current. The Data Analytics Engine, developed in collaboration with Starburst, enables seamless data querying across spreadsheets, databases, cloud warehouses and lakehouses. The new Data Analytics Engine Agentic Layer transforms raw data into business-ready products in...

An airhacks.fm conversation with Paul Sandoz (@paulsandoz) about: Devoxx conference experiences and Java's evolution over the past decade, energy efficiency studies comparing Java to C/Rust/Ada from 2017, Java performance improvements from Java 8 to Java 25, Code Reflection as manipulation of method bodies versus traditional reflection, tornadovm optimizations for GPU inference achieving 6-10x speedup over CPU, using pointers to keep data on GPUs avoiding transfer overhead, Metal support development for Apple Silicon, relationship between Project Babylon and TornadoVM, HAT project collaboration opportunities, Python's GPU performance through optimized NVIDIA libraries, enterprise challenges with Python in production versus Java's packaging simplicity, BLISS library for NumPy-like operations in Java, DJL.ai for tensor manipulation and Deep Learning, JTaccuino for Jupyter-style notebooks with JavaFX, MCP protocol implementation challenges with poor specification quality, minimal JSON API design philosophy for OpenJDK, cognitive overhead reduction in API design, pattern matching with JSON values, assertion-style API for fail-fast programming, JSON-P versus JSON-B trade-offs in enterprise applications, versioning challenges with data binding approaches, embedded HTTP server use cases for testing and development, JSON-java library as reference implementation, zero-dependency approach becoming more popular, Java 25 instance main methods with automatic java.base imports, zb zero-dependency builder project, marshalling and serialization rethinking in OpenJDK, trusted builds and dependency management in enterprise Java, comparison of Maven/Gradle complexity for simple projects, GPL licensing for OpenJDK code, the java.util.json experiment Paul Sandoz on twitter: @paulsandoz

The latest In Touch With iOS with Dave he is joined by Jill McKinley, Guy Serle, Eric Bolden, Jeff Gamet, Marty Jencius, Ben Roethig. The panel compares Vision Pro vs Samsung Galaxy XR, reviews VisionOS Beta 4, reacts to Apple refusing Vision Pro trade-ins, discusses GM backing away from CarPlay, examines iPhone Air production concerns, and analyzes YouTube's new AI likeness detection tool and its implications for creators. iPhone Air production and strategy concerns, tied to mid-tier pricing pressure.  YouTube's new AI deepfake likeness detection, and what it means for creators and security. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary In Episode 392, Dave and the panel take on one of the biggest shifts in the VR landscape: Samsung's new Galaxy XR headset entering the same airspace as the Apple Vision Pro. The group compares weight, comfort, thermal balance, strap systems, and software ecosystems. Marty shares his early hands-on impressions with the Galaxy XR—including its lighter design but occasional light leakage—while Ben and Jill discuss how purpose may determine market success: Vision Pro for spatial productivity, Galaxy XR for approachable consumer entry.  The discussion moves to VisionOS Beta 4, where developer-focused updates aim to improve stability and groundwork for more immersive experiences. The consensus: incremental but necessary.   Then comes one of the show's most passionate sections: Apple's decision not to allow trade-ins of the first-generation Vision Pro. The panel debates how this affects:     •    customer loyalty     •    early-adopter trust     •    whether the Vision Pro is being treated like a dev kit vs. consumer product. Reactions range from “understandable” to “rough look for a $3,500 device.”  From there, the conversation shifts to the GM / CarPlay breakup, which inspires instant groans. Everyone shares personal and community stories confirming that CarPlay is no longer a luxury—it's baseline expectation. One panelist notes even non-tech friends refuse to buy a car without CarPlay, which says more than any product review ever could.   iPhone Air production and strategy concerns, tied to mid-tier pricing pressure  YouTube's new AI deepfake likeness detection, and what it means for creators and security Topics and Links In Touch With Vision Pro this week.  visionOS 26.1 Beta 3 Release Notes | Apple Developer Documentation  New Samsung Vision Pro Killer? Samsung's Galaxy XR Mixed Reality Headset Now Available for $1,800 Official Replay | Galaxy Event October 2025 | Samsung Spec Category Apple Vision Pro (M5) Samsung Galaxy XR Processor / Chipset Apple M5 chip: 10-core CPU, 10-core GPU, 16-core Neural Engine, built on 3nm process.  Qualcomm Snapdragon XR2+ Gen 2 platform.  Display & Resolution / Refresh Rate Dual micro-OLED displays, ~23 million pixels total, up to 120 Hz refresh rate.  Dual micro-OLED displays, 3552×3840 pixels per eye (≈27 million pixels total), refresh up to ~90 Hz.  Weight (headset unit) Reported ~750-800 g (26.4-28.2 ounces) for M5 version.  ~545 g for the headset unit; external battery pack adds additional weight.  Battery Life Up to ~2.5 hours general use, ~3 hours video playback for M5 version.  Up to ~2 hours general use, ~2.5 hours video. External battery unit (302 g) required.  Memory / Storage (From earlier model) 16 GB unified memory, storage options (256 GB+, etc) for earlier Vision Pro.  16 GB RAM / 256 GB storage reported.  Ecosystem / OS visionOS (Apple's spatial computing platform), tight Apple ecosystem integration.  Android XR OS (built in collaboration with Google and Samsung) with Gemini AI integration.  Launch Price ~$3,499 USD (for base Vision Pro) and remains at that level for upgraded M5 model.  ~$1,799 USD at launch.  Apple Confirms Vision Pro is Not Eligible for Trade-In Apple Releases New Vision Pro Developer Strap Apple Vision Pro Now Made in Vietnam Vimeo announces support for more 3D video formats on Apple Vision Pro Beta this week.  iOS 26.1 Beta 4 was released.  Apple Seeds Fourth Betas of iOS 26.1, iPadOS 26.1, macOS Tahoe 26.1 and More What's New in iOS 26.1 Beta 4  iOS 26.1 Beta 4 Adds Toggle to Turn Off Lock Screen Camera Swipe iOS 26.1 Beta 4 Lets Users Control Liquid Glass Transparency with New Toggle - MacRumors iOS 26.1 Coming Soon With These 8 New Features for Your iPhone In Touch With Mac this week  Apple Seeds Fourth Betas of iOS 26.1, iPadOS 26.1, macOS Tahoe 26.1 and More  Other Topics Important! iOS 26 has a new iPhone security setting that you need to turn on immediately Apple's Sports app just got better for NFL and college football fans - 9to5Mac OpenAI Launches 'ChatGPT Atlas' Browser to Compete with Safari and Chrome OpenAI Acquires Apple Shortcuts Creators to Bring Deep Mac Integration to ChatGPT News GM to Remove CarPlay from All Future Vehicles, Including Gas Cars  Apple's iPhone Air Experiment Fails as Supply Chain Cuts Production by 80% and Report: 'Virtually No Demand' for iPhone Air  Some Cosmic Orange iPhone 17 Pros Seeing Discoloration Issue New 14-Inch MacBook Pro, iPad Pro, and Vision Pro Now Available at Apple Stores  YouTube Rolls Out AI Likeness Detection Tool to Prevent Deepfakes Announcements Macstock 9 has wrapped for 2025. Attendees will receive a link for the session recordings when  they're ready in 30-45 days. If you missed Macstock we missed you! Why not purchase a digital pass to relive all the amazing presentations? Click the link below to purchase the digital pass. Macstock X has already been announced July 10,11,12, 2026 hopeful you all can join us.  Macstock IX Digital Pass Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at eabolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.   Jill McKinley works in enterprise software, server administration, and IT A lifelong tech enthusiast, she started her career with Windows but is now an avid Apple fan. Beyond technology, she shares her insights on nature, faith, and personal growth through her podcasts—Buzz Blossom & Squeak, Start with Small Steps, and The Bible in Small Steps. Watch her content on YouTube at @startwithsmallsteps and follow her on X @schmern. Find all her work at http://jillfromthenorthwoods.com. Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Ben Roethig Former Associate Editor of GeekBeat.TV and host of the Tech Hangout and Deconstruct with Patrice  Mac user since the mid 90s. Tech support specialist. X @benroethig and all other social media @benroethig.   Website: https://roethigtech.com/ Guy Serle is one of the hosts of the new The Gmen Show along with GazMaz and email Guy@mymac.com @MacParrot and @VertShark on X  Vertshark on YouTube, Skype +1 Area code  703-828-4677

In this episode of Web3 with Sam Kamani, we dive deep into the future of AI and decentralized compute with Gaurav from io.net. From building in Linux file systems to scaling GPU infrastructure for global AI workloads, Gaurav shares what it takes to create a high-impact product in today's Web3 x AI gold rush.We explore the vision behind io.net—making AI compute more accessible and affordable by decentralizing infrastructure. Gaurav Sharma also opens up about the real challenges of scaling, how their community drives product evolution, and what founders often get wrong when launching AI startups.If you're a founder, developer, or investor in AI or Web3, this episode is packed with practical wisdom and behind-the-scenes insights from someone who's building at the bleeding edge.Key Learnings + Timestamps[00:01:00] Gaurav's journey from Linux systems to Web3 and AI[00:03:30] The problem with monopolies in AI compute pricing[00:05:00] io.net's vision: Giving power back to builders[00:07:00] Decentralized compute vs. traditional hyperscalers[00:08:30] Two types of users io.net serves (technical & abstracted)[00:10:30] Why agents will thrive in Web3 and how AI agents will need crypto[00:12:00] Real-world use cases and who is already using io.net[00:14:30] Challenges of building decentralized infra with real utility[00:17:00] What most people misunderstand about building AI products[00:18:00] Why the compute demand will keep growing – the flywheel effect[00:21:30] What Gaurav would do differently if starting io.net today[00:24:00] How they ensure GPU quality across a decentralized network[00:27:00] Advice for new founders: Start with utility, not just narrative[00:30:00] io.net's 6-month roadmap and product ecosystem vision[00:32:00] Call for collaborators, data engineers, and AI sales talentConnectX: https://x.com/ionetDiscord: https://discord.com/invite/ionetofficialTelegram: https://t.me/io_netLinkedIn: linkedin.com/company/ionet-official/Medium: https://medium.com/@ionetGaurav Sharma: https://www.linkedin.com/in/searchgauravsharma/?originalSubdomain=th DisclaimerNothing mentioned in this podcast is investment or financial advice and please do your own research.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Spletnih prevar je iz leta v leto več. Polletno poročilo o smernicah zlonamerne programske opreme in ranljivostih kaže na jasno prevlado državnih akterjev, ki kibernetske napade uporabljajo za strateške in geopolitične cilje. Klasične kriminalne združbe pa izkoriščajo različne ranljivosti predvsem za izsiljevalske napade, krajo podatkov in goljufije. Njihove metode so manj prefinjene od kibernetskih operacij, v ozadju katerih so države, so pa bolj množične. Kako odkrivati te napade, jih preiskovati in se zavarovati pred njimi, vnovič v tokratnem Studiu ob 17ih. Gostje: Tanja Piškur, Zveza potrošnikov Slovenije; Uroš Svete, direktor vladnega urada za informacijsko varnost; Gorazd Božič, direktor SI-CERTA; David Gracer, kriminalistični inšpektor v Upravi kriminalistične policije na GPU.

OpenAI is shaking up the semiconductor world with plans to secure a 10% stake in AMD. The deal underscores its strategy to own the hardware that powers its AI models. We unpack the potential ripple effects across Big Tech and the GPU market.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleTo recommend a guest email: guests(@)podcaststudio.com

What happens when simplicity meets AI on the world's biggest tech stage? In this episode, recorded live at GITEX Global in Dubai, I sit down with Sohaib Zaheer, Senior Vice President and General Manager at DigitalOcean, to talk about how the company is staying true to its founding vision of accessibility and simplicity while entering the age of AI. For years, DigitalOcean has been known as the cloud that “speaks the language of builders,” empowering developers and startups to innovate without unnecessary complexity. Now, with the launch of its Gradient AI platform and Cloudways Copilot, the company is bringing that same philosophy to AI development, helping teams go from idea to production-ready agents without huge DevOps teams or fragmented toolchains. Sohaib explains how DigitalOcean's unified stack is making AI agent development faster, easier, and more transparent. We discuss the startling statistic that 95% of AI projects never make it past the prototype stage, and explore how Gradient AI aims to change that through agent templates, debugging tools, and built-in guardrails. We also look under the hood at AI inferencing, GPU optimization, and why performance and cost efficiency still matter as much as cutting-edge innovation. If you have ever wondered how AI can become truly accessible, or how simplicity might just be the next big breakthrough, this conversation offers a grounded, real-world perspective from one of the most down-to-earth leaders in cloud technology. Recorded live on the show floor at GITEX Global, this episode is a reminder that great tech is not about hype, it is about helping people build, test, and create with confidence.

Join The Full Nerd gang as they talk about the latest PC building news. In this episode the gang is joined by special guest Tom Petersen, Fellow at Intel, to talk about all things Xe3, Panther Lake gaming, GPU benchmarking, and much more. And of course we answer your questions live! Links: - Panther Lake deep-dive: https://www.pcworld.com/article/2928765/panther-lake-unveiled-a-deep-dive-into-intels-next-gen-laptop-cpu.html - Interview with Tom Petersen: https://youtu.be/Bjdd_ywfEkI?si=Jn_YH_jZWntwsqVV - Thread Director interview: https://youtu.be/VcvzIGA6qA4?si=adxnHtMTiGvWQzY4 Join the PC related discussions and ask us questions on Discord: https://discord.gg/WWnEzTDhw Follow the crew on X and Bluesky: @AdamPMurray @BradChacos @MorphingBall @WillSmith ============= Read PCWorld! Website: http://www.pcworld.com Newsletter: http://www.pcworld.com/newsletters/signup ============= #podcast #news #pcgaming

In this episode, Ben Bajarin and Jay Goldberg discuss the recent industry discussion (confusion?) on GPU depreciation.  Jay Goldberg was also at OCP this week and they disucss takeaways from the networking show related to AI compute and AI datacenter. 

Los nuevos procesadores de Apple son los mejores hasta la fecha. Sorpresa. Pero esconden muchos secretos que os iremos contando porque no todos los procesadores M5 son iguales. Y no nos referimos a la falta de procesadores M5 Pro ni M5 Max.Analizamos en profundidad los nuevos productos de Apple presentados con el chip M5. Exploramos las características del chip M5, destacando las mejoras en CPU y GPU, especialmente para tareas de inteligencia artificial, el aumento de la RAM base a 12GB y el mayor ancho de banda de memoria. Comentamos la llegada de las versiones actualizadas del MacBook Pro, iPad Pro y Vision Pro con esta nueva generación de procesadores. Detallamos las novedades en el MacBook Pro de 14 pulgadas, incluyendo su SSD más rápido y la controvertida decisión de no incluir adaptador de corriente en Europa y Reino Unido, justificada por las regulaciones de la Unión Europea y una rebaja de precio. En cuanto al iPad Pro M5, resaltamos sus capacidades superiores en algunos aspectos al MacBook, como soporte para monitores externos de 120Hz y la inclusión de Wifi 7. También revisamos las discretas mejoras en el Vision Pro M5, como el ligero aumento de píxeles de rendimiento y la nueva correa que mejora la comodidad, lamentando la ausencia de un programa de trade-in para el modelo anterior.Además, comentamos sobre el cambio de nombre del servicio de streaming a "Apple TV" (eliminando el "Plus") y la adquisición de los derechos de Fórmula 1 para Estados Unidos, un movimiento que consideramos estratégico para el crecimiento de su oferta deportiva y que Eddy Cue ha insinuado que ha llevado a más de 50 millones de suscriptores.Finalmente, abordamos el curioso "Rosagate", donde algunos iPhone 17 Pro Max naranjas están adoptando una tonalidad rosada, y la reciente visita de Tim Cook a China, la cual, a pesar de la buena acogida y un regalo personalizado, generó un debate sobre el equilibrio de las inversiones de Apple a nivel global.- Apple lanza el M5, un gran avance en rendimiento de la IA para los chips de Apple - Apple (ES)- El nuevo MacBook Pro no incluye cargador (y la culpa no es de Apple) | Tecnología- INIYSA on X: "Wonder how much better M5 will be for gaming Apple's gen 2 dynamic caching gave A19 a huge boost in games with complex shaders" / X- 9to5Mac on X: "Here's the most impressive thing about the M5 chip https://t.co/r3birw31yG by @benlovejoy" / X- Apple TV gana a ESPN los derechos de la F1 en EEUU con un acuerdo histórico- M5 Vision Pro weighs 150g more than M2 Vision Pro : r/apple- Some iPhone 17 Pro Max Units Are Fading From Cosmic Orange To Rose Gold As Oxidation Complaints Surface- Los Labubus de Tim Cook

On this episode of The MacRumors Show, we talk through Apple's all-new M5 chip and the three updated devices it announced containing it this week. Apple this week announced the M5 chip, featuring improved performance and efficiency with a 10-core CPU and 10-core GPU. Apple says the M5 chip offers up to 15% faster CPU performance and up to 45% faster graphics, compared to the M4 chip. It also contains a next-generation GPU architecture optimized for AI tasks, Neural Accelerators for each core, a third-generation ray-tracing engine, enhanced shader cores, and second-generation dynamic caching. There is also a faster 16-core Neural Engine. It has memory bandwidth of 153GB/s and supports up to 32GB of unified memory. The M5 chip comes to the entry-level MacBook Pro, delivering improved performance. It can also now be configured with up to 4TB of storage. The iPad Pro also gains the M5 chip, along with Apple's N1 chip, a new custom-designed wireless networking chip that provides Wi-Fi 7, Bluetooth 6, and Thread. Cellular versions of the new ‌‌iPad Pro‌‌ feature Apple's C1X modem, which allows up to 50% faster cellular data performance than its predecessor, with much greater efficiency. The new ‌‌iPad Pro‌‌ adds the ability to drive external displays at up to 120Hz and now supports Adaptive Sync. The 256GB and 512GB models now start with 12GB of unified memory. The M5 chip is also a key part of a notable update to the Vision Pro. The headset now renders 10% more pixels, can ramp up to a 120Hz refresh rate, and offers three hours of battery life. A new Dual Knit Band feature two straps knitted into a single piece, providing a more comfortable fit. The lower strap has tungsten inserts that provide a counterweight. Apple is also now selling the Logitech Muse spatial stylus for the Vision Pro, and it will begin selling the PlayStation VR2 Sense controller starting next month. Apple's new devices are now available to pre-order, with launch on Wednesday, October 22. This episode is sponsored by Shopify — Sign up for your $1-per-month trial and start selling today at shopify.com/mac.

Send us a text!Watch this episode on YouTubeThis week, don't call it an Apple Event, but the first M5 devices are here! The MacBook Pro, the iPad Pro, and the Vision Pro too… I guess. Also: What we're buying, and the Steve Jobs commemorative $1 coin.This episode supported by:Listeners like you. Your support helps us fund CultCast Off-Topic, a new weekly podcast of bonus content available for everyone; and helps us secure the future of the podcast. You also get access to The CultClub Discord, where you can chat with us all week long, give us show topics, and even end up on the show. Support The CultCast at support.thecultcast.com — or unsubscribe at unfork.thecultcast.comCleanMyMac is your ultimate solution for Mac control and care. Get tidy today — try 7 days free and use my code CULTCAST for 20% off at clnmy.com/CultCastMost companies only act after a breach. Be the one that's prepared. Defend your business with NordStellar. Get an exclusive offer: Unlock your 10% discount on NordStellar with the coupon code cultcast-10 at NordStellar.com/CultCast. Just mention it to NordStellar!This week's stories:Apple's new M5 chip pumps up AI and graphics processing powerWith release of the new MacBook Pro and more, Apple's new M5 chip pumps up AI and graphics processing power amid other gains.14-inch MacBook Pro gets M5 power boostApple's refreshed entry-level MacBook Pro delivers a massive leap in CPU, GPU and AI performance thanks to the next-gen M5 processor.Apple supercharges iPad Pro with next-gen M5 processorApple just revealed the 2025 iPad Pro, which gets a speed boost from the new M5 processor, and some variants get 50% more RAM.Going large on M5 iPad Pro storage also scores premium performanceSpatial computing gets more powerful (and comfortable) with M5 Vision ProApple upgrades the Vision Pro to the latest M5 chip. The improved headset also features a more comfortable strap and better battery life.Vision Pro owners can get its biggest upgrade for just $99Steve Jobs $1 coin looks nothing like Steve JobsA weird portrait of Apple co-founder Steve Jobs sitting in a California meadow will appear on a $1 coin from the U.S. Mint in 2026.

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In another wave of tariff news, Trump announced a 100% tariff on Chinese goods that will take effect in November. The constant back and forth of tariff policy has left import-reliant business owners frustrated, defeated and wondering how long they can hold out. Also in this episode: Slowing immigration explains a change in break-even employment, California explores public AI compute projects to create shared GPU infrastructure, and GDP may grow more than expected, despite economic uncertainty.Every story has an economic angle. Want some in your inbox? Subscribe to our daily or weekly newsletter.Marketplace is more than a radio show. Check out our original reporting and financial literacy content at marketplace.org — and consider making an investment in our future.

In another wave of tariff news, Trump announced a 100% tariff on Chinese goods that will take effect in November. The constant back and forth of tariff policy has left import-reliant business owners frustrated, defeated and wondering how long they can hold out. Also in this episode: Slowing immigration explains a change in break-even employment, California explores public AI compute projects to create shared GPU infrastructure, and GDP may grow more than expected, despite economic uncertainty.Every story has an economic angle. Want some in your inbox? Subscribe to our daily or weekly newsletter.Marketplace is more than a radio show. Check out our original reporting and financial literacy content at marketplace.org — and consider making an investment in our future.

Eat smart at https://FactorMeals.com/kindafunny50off and use code kindafunny50off to get 50% off your first box, plus Free Breakfast for 1 Year. Sony teases new GPU tech for the PS6, Nintendo finally comments on its weird Pikmin short films, and Clair Obscur studio's speaks a bit about their next game. Thank you for the support! Run of Show - 00:00:00 - Start00:08:54 - HousekeepingToday after, KFGD, you'll get:GAMESCAST - IGN's ranking of Roguelike gamesAfter Gamescast is Game ShowdownThen the STREAM is King of MeatIf you're a Kinda Funny Member:Today's Gregway is Tim's, but LATE yesterday, a very informative Gregway went up from Greg AND Genevieve Miller. Greg yacks about how to support indie games, but then someone who ACTUALLY knows what she's talking about shows up to talk about the question from her side of the industry! It's super informative!Thank you to our Patreon Producers: Karl Jacobs, OmegaBuster, & Delaney "The Somm" TwiningThe Roper Report   -00:13:25 - Sony teases new GPU tech for the PS6 - Cameron Faulkner @ The Verge00:29:47 - Ad00:30:57 - Nintendo Finally Comments on This Week's 'Closer to You' Pikmin Videos, Reveals They're the First Short Films From Nintendo Pictures - Tom Phillips @ IGN00:40:05 - Clair Obscur studio's next game won't necessarily have the same story, art style or genre - Chris Scullion @ VGC00:46:52 - Halo art director leaves after 17 years with cryptic message suggesting it was on bad terms - Chris Scullion @ VGC00:50:17 - A Minecraft Movie 2 and The Simpsons Movie 2 Currently Set to Release on the Same Day in July 2027 - Wesley Yin-Poole @ IGN00:58:30 - Wee News!01:00:10 - SuperChats & You‘re Wrong Learn more about your ad choices. Visit megaphone.fm/adchoices