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

In the studio this week Nick is joined by Jake, Camera Man Cubby, Carbs, Timmy, Rakeman, and Nater. The guys talk nothing but lil mike on this one. Some stories have probably been tweaked to protect Lil Mikes reputation. We miss you Mike. Fly High Buddy. We Love you.     - The Northbros Crew

Nater, Christa www.deutschlandfunkkultur.de, Studio 9

United States v. Flores-Nater

In an era of increasing ATM thefts and bank initiatives to improve employee and customer experience, it's more important than ever for bank branches to implement safety and security plans. In today's episode of the Bank Customer Experience podcast, Bradley Cooper, podcast host, spoke with Felix Nater, security expert and owner of Nater Associates LTD, about how banks can successfully implement safety plans.Nater discussed how security is top of mind for branches and other businesses but seldom implemented successfully. This is due in part to employees viewing security as incidental to their jobs, as they are not security experts.He offered guidance on topics such as:What are branches doing right and wrong about branch safety?How can banks help customers feel secure when using an outdoor ATM?How can banks help employees feel safe?How can banks and businesses empower employees on security and safety protocols.How can banks reinforce security lessons.What about employee conflicts?Listen to the podcast in its entirety above.

Jacob, Nick, Nater, Lil Mike, Camera Man Cubby, and Donkey are in the studio this week. The fellas talk about the current status of the dirtbike, as well as how the tag situation is shaping up for this upcoming fall hunting season. Once again, the fellas are all over the place. Thanks for listening!!!

Are you an "Amazonian"? Are you an Amazon Ecommerce Seller? Are you an Instacart Shopper? This is the episode for you!! In this episode, you will learn about the battle between Amazon Fresh's beta test and a small company that invented the grocery shopping early Instacart type business on an island and moved to Seattle. Listen in as Nater Youngchild talks about what it takes to get to each stage of the entrepreneur journey, and got you here won't necessarily get you there. Nater Youngchild has been an entrepreneur since the age of 18, a lifelong adventurer, ex-Amazonian and first-generation college graduate. His first startup was a grocery delivery service in Seattle, WA that ended up competing with Amazon Fresh's beta test and brought him to Amazon. Nater developed the Household Supplies category while at Amazon in the early 2010's. After his time as an Amazonian, Nater launched an Amazon full service agency where he operated hundreds of Amazon Seller and Vendor accounts, driving over $500MM in Amazon sales growth for partner brands. Nater also ran his own brands as a Seller on Amazon and is today focused on offline sales expansion for the brands he owns and operates. Nater built a software tool to make running Amazon businesses effective and efficient called D8a Driven in 2019, and sold that software company to Carbon6 in 2023. Nater is now an investor in Carbon6 and a General Manager for D8a Driven, as well as a resident Amazon expert who supports several of their other great tools built for Amazon Sellers and Vendors. He is married to a Canadian entrepreneur, and they live a life of adventure based out of a travel van and mountain home in the Canadian Rockies. Nater prides himself on a balanced life between entrepreneurial ventures, mountain adventures (with a keen focus on backcountry snowboarding and snowmobiling) and a deep connection with his family, colleagues, and friends abroad.   Links: https://www.linkedin.com/in/nateryoungchild/ http://www.carbon6.io/d8adriven

Nick, Timmy, Lil Mike, Camera Man Cubby, and Nater are in the studio this week. The fellas give an update on the vehicle issues they discussed in a previous episode.

A little different type of episode this week. Nick, Kate, Jacob, Anna, Lil Mike, Camera Man Cubby, and Nater are in the studio this week. The crew recaps the fantastic weekend they had celebrating Nick and Kates wedding. 

A l'occasion de la journée internationale contre les LGBTIQphobies, l'experte vaudoise Caroline Dayer échange avec Florence Nater, Conseillère d'État neuchâteloise au Département de l'emploi et de la cohésion sociale. Modération par Claire Burgy, journaliste à RTSinfo. - Docteure et chercheuse, formatrice et consultante, Caroline Dayer est experte en prévention et traitement des violences et des discriminations ainsi que spécialiste en études genre. Autrice de différents ouvrages et articles scientifiques, elle est également ancrée dans le terrain et conçoit des outils pédagogiques, des guides pratiques et des dispositifs de formation – tout en participant à l'élaboration et à la consolidation de politiques publiques. Ses activités se déploient sur les plans locaux, nationaux et internationaux. Depuis 2020, elle est déléguée cantonale aux questions d'homophobie et de transphobie dans les lieux de formation à l'Etat de Vaud. Enregistré au Club 44 le 17 mai 2024

Nick, Lil Mike, Camera Man Cubby, and Nater are in the studio this week. All of the fellas have been having some technical difficulties with their Side by sides, Wheelers, Trucks, and Dirt Bikes. The guys talk about what has been causing issues over the last few weeks.

Finde heraus, welche Beziehungsprobleme Paare krank machen. Heute besprechen wir einige sehr interessante Forschungsergebnisse! Alle Quellen dazu findest du weiter unten. Hier kannst du mein Buch direkt vorbestellen. Oder hier findest du erstmal mehr Informationen (wie das Inhaltsverzeichnis oder Beispiele aus dem Buch). Wenn du mich und den Podcast unterstützen möchtest, dann bewerte den Podcast gerne und schicke ihn an jemanden weiter, der sich auch dafür interessieren würde.  Jede Woche neue Tipps, Übungen und Hintergrundinformationen aus meiner paartherapeutischen Praxis. Melde dich hier für den Newsletter an.  Du hast Feedback oder Fragen? Dann schreib mir auf Instagram. Du möchtest eine persönliche (Online)Beratung oder Paartherapie mit mir? Dann schreib mir eine Mail an: kontakt@paartherapiebonn.com. Mehr zu mir und meiner Arbeit findest du ⁠⁠hier⁠⁠. Disclaimer: Es handelt sich bei dem Fallbeispiel, um ein fiktives Beispiel und nicht um eine echte Person. Die Inhalte ergeben sich aus verschiedenen Geschichten und KlientInnen, die ich in einem Beispiel zusammengefasst habe.  Quellen Birditt, K. S., Newton, N. J., Cranford, J. A., & Ryan, L. H. (2016). Stress and negative relationship quality among older couples: Implications for blood pressure. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 71(5), 775-785. Ditzen, B., Schmidt, S., Strauss, B., Nater, U. M., Ehlert, U., & Heinrichs, M. (2008). Adult attachment and social support interact to reduce psychological but not cortisol responses to stress. Journal of psychosomatic research, 64(5), 479-486. Haase, C. M., Holley, S. R., Bloch, L., Verstaen, A., & Levenson, R. W. (2016). Interpersonal emotional behaviors and physical health: A 20-year longitudinal study of long-term married couples. Emotion, 16(7), 965. Jaremka, L. M., Fagundes, C. P., Glaser, R., Bennett, J. M., Malarkey, W. B., & Kiecolt-Glaser, J. K. (2013). Loneliness predicts pain, depression, and fatigue: understanding the role of immune dysregulation. Psychoneuroendocrinology, 38(8), 1310-1317.Kaluza, G. (2018). Stressbewältigung: Trainingsmanual zur psychologischen Gesundheitsförderung. Springer-Verlag. Kiecolt-Glaser, J. K., Loving, T. J., Stowell, J. R., Malarkey, W. B., Lemeshow, S., Dickinson, S. L., & Glaser, R. (2005). Hostile marital interactions, proinflammatory cytokine production, and wound healing. Archives of general psychiatry, 62(12), 1377-1384. Loving, T. J., & Slatcher, R. B. (2013). Romantic relationships and health. Pennebaker, J. W., & Beall, S. K. (1986). Confronting a traumatic event: Toward an understanding of inhibition and disease. Journal of Abnormal Psychology, 95(3), 274–281. https://doi.org/10.1037/0021-843X.95.3.274 Robles, T. F. (2014). Marital quality and health: Implications for marriage in the 21st century. Current directions in psychological science, 23(6), 427-432. Roesler, C. (2018). Verhaltenstherapeutische Paartherapie. In Paarprobleme und Paartherapie (S. 211–213). Kohlhammer. Selcuk, E., Gunaydin, G., Ong, A. D., & Almeida, D. M. (2016). Does partner responsiveness predict hedonic and eudaimonic well‐being? A 10‐year longitudinal study. Journal of Marriage and Family, 78(2), 311-325. Shrout, M. R. (2021). The health consequences of stress in couples: A review and new integrated Dyadic Biobehavioral Stress Model. Brain, behavior, & immunity-health, 16, 100328. Wright, B. L., & Loving, T. J. (2011). Health implications of conflict in close relationships. Social and Personality Psychology Compass, 5(8), 552-562. --- Send in a voice message: https://podcasters.spotify.com/pod/show/anouk-algermissen/message

Nick is joined in the studio this week by Camera Man Cubby, Lil Mike, and Nater. The fellas recap their spontaneous Devils lake ice fishing trip to end the ice season for the boys.

On this weeks episode Nick is joined in the studio by Donkey, Camera Man Cubby, Lil Mike, and Nater. The fellas talk about their adventures ice fishing that took place last weekend. The guys ventured out onto some lakes they have not fished yet this ice season. Although the fishing was slow, the boys still managed to have a good time! Lil Mike also fills us in on his latest weekend shenanigans. 

https://www.carbon6.io/d8adriven How To Sell Your Business For Millions Meet Nater, an entrepreneur since age 18, a lifelong adventurer, and the first in his family to graduate from college. He recently sold his business, D8a Driven, to Carbon 6, but he's still its CEO. Nater's focus now is on a cutting-edge SaaS platform born from over a decade of eCommerce leadership. His journey started in 2008 when he created the first multi-store grocery delivery platform in the Pacific Northwest. This venture led him to Amazon.com, where he mastered brand growth. With this knowledge, he founded an Amazon consulting agency, driving over $500 million in growth. Today, he's using all his insights to power D8a Driven, a platform leveraging Big Data for profitable brand growth on Amazon. Stay tuned for a captivating conversation that delves into the world of E-Commerce, supply chain mastery, and unlocking growth opportunities. Subscribe to the MarginBusiness Podcast and prepare to gain invaluable insights!

Woooo Baby!!! It's a crazy start as the fellers discuss how many sex tourists have died in Thailand. Evo is coming off 4 days on the booze after giving his great mate Surebet a final send off. Tommy has another airport saga and has some fun in Tassie. Sit back, relax and enjoy some "Good Banter" Jump on the Patreon - www.patreon.com/goodbanter

Join us for an exciting episode featuring Nater Youngchild, an entrepreneur and CEO who has made waves in the business world. With over a decade of experience leading eCommerce ventures, Nater's focus has led him to create D8a Driven, a groundbreaking SaaS platform that drives profitable growth for brands on Amazon using Big Data strategies. Recently acquired by Carbon6 Technologies, Nater is now leading the integration process while maintaining a balanced life of adventure and family connections. Don't miss out on this episode as Nater shares his entrepreneurial journey, inspiring stories, and valuable insights. Tune in for a dose of inspiration and wisdom from this remarkable entrepreneur.Takeaways:Positive reviews, low return rates, and minimal complaints contribute to higher conversion rates. Making customers happy with their purchases increases the likelihood of receiving more visitors and sales.Becoming a "merchant of authority" on ASINs (Amazon Standard Identification Numbers) is crucial for success. It allows sellers to have more control over product titles and optimize their listings.Amazon empowers its customer service agents to address issues reported by customers, and if a significant problem arises, they can shut off an ASIN, leading to a potential loss of sales.Sellers should track sales across variations to identify if one variation is cannibalizing sales from others. If a particular variation has a significantly higher conversion rate compared to others, it may receive preferential treatment from Amazon, leading to reduced exposure for other variations. This can affect revenue diversification and overall performance.By separating highly converting variations, sellers can give other variations a chance to perform better and increase overall revenue diversification.When creating ASINs, it's advisable to create them as standalone and then put them under a parent. This allows for easier separation of reviews if needed in the future.Quote of the Show:Amazon is a platform of comparison rather than fixed targets. You need a conversion rate in comparison to your competition in perspective of your share of the impressions for a particular keyword. Links:https://www.linkedin.com/in/nateryoungchild/https://d8adriven.com https://www.carbon6.io/d8adriven Also, tune in to Vanessa Hung's episode to discover how to use your IDQ score to drive organic sales.https://argometrix.com/how-to-use-your-idq-score-to-drive-organic-saleshttps://www.buzzsprout.com/1835870/12721630https://youtu.be/IXG74NAgdCIWays to tune in:Apple PodcastSpotifyGoogle PodcastYouTubeAmazon Legends is sponsored by Argometrix, the authority on, and a leading supplier of, competitive intelligence for online retail. To learn more, head over to https://argometrix.com/

The radio week started first thing Monday morning with Cam Janssen complaining about Matt Whitener's tardiness for a golf outing on Saturday. Matt is finally on the air to explain himself! Nate bids adieu to St. Louis almost 7 months prematurely. What are some of the headlines from Nate's future homeland? Get ready for gators, Nater.

For decades now, we have seen innumerable examples of violence in the workplace, both by internal perpetrators and external. And organizations are very good at taking swift, actionable response measures to mitigate the damage. But maybe we are looking at workplace violence all wrong. Felix Nater, president and owner of workplace security consulting firm Nater Associates, joins Jill to discuss why preventing workplace violence — not reacting to it — should be our focus. Mr. Nater dives into his history with the U.S. Postal Service, why prevention through education must start at the top of any organization, and how he helps employers make sure their workers get home safe every day.

https://nfltraderumors.co/2023-nfl-mock-draft-4-0-two-rounds/Did we get it right? Email us at goatvsgote@gmail.com

Mr. Felix P. Nater, a nationally recognized expert in workplace violence prevention and security management, shares valuable insights on how companies can take steps to prevent violence in the workplace, and ensure the safety and security of their employees. Join us as we discuss the the challenges facing today's employers on this episode of Today's Workplace, such as: Investigative Law Program Management Workplace Security Workplace Violence Prevention For more information on this episode and to connect with Barbara Johnson or Belinda Reed Shannon, visit us at: https://www.todaysworkplacepodcast.com The views expressed on today's program are those of the speakers and are not the views of Today's Workplace, the speaker's firms or clients, and are not intended to provide legal advice.

This EP feature the great Latin drummer from NYC Eddie Nater. He speaks of life growing up in NY, being a young Puerto Rican drummer in NYC and all of his friends breaking into music. You don't wanna this one. --- Send in a voice message: https://anchor.fm/silverbackchronicles/message Support this podcast: https://anchor.fm/silverbackchronicles/support

About Pete NaterBiography:Grammy Winner, Band Leader, Musical Director, Arranger, Trumpet, ComposerPete Nater has been part of bands like: Spanish Harlem Orchestra 2002 to 2008 (2005 Grammy Award Winner)The Mambo Legends Orch. 2009 to presentThe Latin Giants of Jazz 2002 to 2009Frankie Ruiz Orchestra 1995-1998Musical Director Larry Harlow Orchestra 1974-1980, 1990 to presentGrupo Fascinacion 1983-present Co-founder/Leader (a/k/a Fascinacion)Chico O'Farrill's Afro-Cuban Jazz Orch 2008 to 2014 (2014 Grammy Award Winner)Conjunto Clasico 1996 to 2008Ray Sepulveda Orchestra 1997 to presentMusical Director Hector Casanova Y Montuno 1980-1983The Bronx Horns 2001 to presentLatin Legend Band 1994 to presentRalph Irizarry's Son Criollo 1998-2002David Gonzales' “Sofrito” play 1999 to presentRichie Viruet's Blue Clave 1998 to presentVictor Cruz Orchestra 1995-1996Nestor Sanchez Band 1996-1997Junior Gonzales Orchestra 1990-1991Seguida 1972-1974 Latin Soul Inc. 1972Viento De Agua 2000-2002Ray Martinez' “Sabor Criollo” 2007 – Present“Little” Johnny Rivero 2008-PresentPete Nater & Associates 2009 to presentRay De La Paz 2007- presentMusical Director Orlando Marin 2010-presentI have also played with, or recorded with, or sub-ed with, or jammed with, on and off, here and there over the years, the following artists:Ray BarrettoMachitoJohnny PachecoTito PuenteEddie PalmieriCharlie PalmieriHector LaVoeMarc AnthonyCachaoCelia CruzRuben BladesPete “El Conde” RodriguezVictor ManuelTito RojasLuis Perico OrtizDizzy GillespieWynton MarsalisEl Gran ComboMongo SantamariaPaul SimonCyndi LauperIsmael MirandaRichie Ray & Bobby CruzOrlando MarinJose FajardoDave ValentinSonora PoncenaTito NievesToby LoveDLGGiovanni HidalgoTipica 73Obie BermudezRay RuizKakoDaniel SantosHilton RuizBill EvansRay Santos All-starsOrnette ColemanThe Mingus BandCheo FelicianoValerie CapersMichael StuartYomo ToroAdalberto SantiagoTony VegaYolanda DukeJohnny RiveraJoe QuijanoJanis IanEddie Torres Mambo King OrchestraSalseros Del Hudson& many many more.Support the show

In today's episode, Joe is joined by guest Nater Youngchild, the CEO and Co-Founder of D8a Driven. Nater's entrepreneurial focus is on the SaaS platform, an amalgamation of his 10+ years leading eCommerce businesses. From a University dorm room in 2008, Nater built the first multi-store grocery delivery platform in the PNW, which brought him to Amazon.com, where he learned and experienced blowing up brands on the Amazon marketplace. This led him to develop an Amazon consulting agency that did the same for brands and sellers, driving over $500MM in growth on Amazon. This was a great conversation as Nater walked us through his full experience and learnings while working for Amazon and with some of the largest consumer brands. He also shared key tips and strategies to help brands navigate the Amazon ecosystem. Ways to connect with Nater: LinkedIn: https://www.linkedin.com/in/nateryoungchild/ Website: www.d8adriven.com

Die Folge für alle, die wissen wollen, wie Psychotherapie funktioniert. Ricarda Nater-Mewes von der Universität Wien liefert eine Anleitung für alle, die Therapie in Erwägung ziehen und gibt den Stand der Forschung zu verschiedenen Therapiearten wieder.Ricarda Nater-Mewes ist Leiterin der Forschungs-, Lehr-, und Praxisambulanz an der Fakultät für Psychologe der Universität Wien und arbeitet auch als Verhaltenstherapeutin.Liste der Psychotherapeut:innen des GesundheitsministeriumsSehr nützliche Broschüre der deutschen BundespsychotherapeutenkammerEin Buchtipp von Andreas: Neue Irre von Manfred Lütz – Wir behandeln die Falschen: Eine heitere Seelenkunde. Auf dem neuesten Stand der ForschungHier bekommst du Tickets für die LIve-Aufnahme in Wien.Mitarbeit: Valentina PfattnerVermarktung: Missing LinkAudio: Audio Funnel Musik: Something Elated by Broke For Free, CC BYBeatbox am Ende: Azad Arslantas

Nathan had a tweet on Saturday that Nick and Rico want to discussAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In this week's episode of the eCom Ops Podcast, Norbert Strappler is joined by Nater Youngchild, Founder and CEO at D8a Driven. They discuss the success factors of Amazon eCommerce sellers, the significance of data handling and storage, and tailored resource pack for optimising eCom results.

This week, Ryan and Clarkey dig into the ongoing and embarrassing scandal surrounding Hockey Canada. Ryan airs an interview with Perth-Wellington MP John Nater, who is a Vice Chair on the Standing Committee on Canadian Heritage investigating Hockey Canada.Following that, Ryan and Clarkey welcome on lawyer Samantha Chang, a co-host on the brilliant The Broadscast sports show in Vancouver, as well as Yahoo! Hockey's Zone Time, for her thoughts on the scandal and what needs to change for the game be better.Brought to you by Coolbet, and in part by the Listowel Squash Courts, Hanover Raceway and See the Game.Subscribe on Youtube and all the best podcast apps!Youtube: https://www.youtube.com/channel/UC-Wix_x4--bclMBXhtRV3dAApple: https://podcasts.apple.com/ca/podcast/instigating-with-clarkey-and-drury/id1590566419Spotify: https://open.spotify.com/show/6ZlDWiSNbMs1O0mKW3zoHr

As the CEO and Co-Founder of D8a Driven, Nater's entrepreneurial focus is on the SaaS platform that is an amalgamation of his +10 years leading eCommerce businesses. From a University dorm room in 2008, Nater built the first multi-store grocery delivery platform in the PNW, which brought him to Amazon.com where he learned and experienced blowing up brands on the Amazon marketplace. This led him to develop an Amazon consulting agency that did the same for brands and sellers driving over $500M in growth on Amazon. And after 10 years of experience, he brought all of his learnings into the creation of D8a Driven, a platform that drives profitable growth for brands on Amazon by executing a tailored strategy using Big Data. He is engaged to a Canadian entrepreneur, and they live a life of adventure based out of a travel van and between homes in the mountains of Seattle, WA and shores of Victoria, BC. Nater prides himself on a balanced life between entrepreneurial ventures, mountain sport exploration (with a keen focus on backcountry snowboarding and snowmobiling) and a deep connection with his family, colleagues and friends abroad. While Nater's personal entrepreneurial attention is devoted to D8a Driven, he also invests, advises and takes seriously his role in inspiring self-confidence in other entrepreneurs. Topics & Timestamps: 0:00 Episode introduction 2:12 Nater Youngchild's background story 8:30 Entrepreneurial journey 16:16 Working with a co-founder 20:01 Hustle culture 30:41 Amazon agency and data 36:58 Transition from agency to building SaaS ✨ D8a Driven is making its ML-based recommendations for Amazon optimizations available for integration into project management software like Monday.com and Asana. We would love for people to tell us which project management software they use for their Amazon business so we can be sure to integrate with the tools they use. ✨ Listeners of the podcast can book time directly with Nater to learn more about D8a Driven and you will get a 20% discount. Just mention the podcast! Connect with Nater: https://www.d8adriven.com/ https://www.linkedin.com/in/nateryoungchild/ https://calendly.com/nateryoungchild/ ✨ Download our FREE Financial Planning Template for Amazon Sellers: https://bit.ly/free-amazon-financial-template ✨ Connect with us on social media: Yoni on LinkedIn - https://linkedin.com/in/yonkoz/ Successful Scales on LinkedIn - https://linkedin.com/company/successful-scales/ Instagram - https://instagram.com/successfulscales Facebook - https://facebook.com/successfulscales ✨ More about us: MultiplyMii Staffing - https://multiplymii.com Escala Consulting - https://weareescala.com Successful Scales Podcast - https://successfulscales.com ✨ Full video episodes are also uploaded on YouTube: Subscribe here: https://lnkd.in/gAuEXjS Successful Scales is sponsored by Global Wired Advisors - a leading digital investment bank with decades of merger and acquisition experience on online and e-commerce businesses and focused on optimizing the business sale process to increase the transactional value of your greatest asset Connect with Global Wired Advisors here - https://globalwiredadvisors.com/ Resources: Green Lights by Matthew McConaughey The 5-Minute Journal

Nater Youngchild the CEO of D8a Driven lets you know what data do you look at to predict Amazon Sales. Get more info at https://www.D8aDriven.com/

No matter where you live you probably regularly see at least one kind of animal outside your window: birds. City or country, birds serve the ecosystem while providing humans with beauty, curiosity and entertainment. And if you spend any time noticing them, you are already participating in birding. Feeling curious and want to learn more about these feathered friends? That's where today's guest, Yamina Nater-Otero, comes in. As a program coordinator for Audubon New York based in New York City, she knows that you don't need to live somewhere with big forests or nearby mountains to learn about and watch birds. And in her role as secretary for Amplify the Future, she knows you also don't need to look a certain way or come from any special background to participate. Birding and all of nature is for everyone. In this episode of Humans Outside Yamina talks to us about how literally anyone can become a birder and the importance of birds in the use of nearby nature. Connect with this episode: Learn more about Audubon New York Learn more about Amplify the Future Find Audubon New York on Instagram Follow Yamina Nater-Otero on Instagram Audubon Bird Guide app Merlin app iNaturalist app Join the Humans Outside Challenge Follow Humans Outside on Instagram Follow Humans Outside on Facebook Some of the good stuff: [3:04] Yamina Nater-Otero's favorite outdoor space [4:11] How Yamina became someone who likes to go outside [5:39] How she got into birding [7:12] What is her favorite bird and, also, is it possible to have a favorite bird? [8:09] Amy's favorite bird [11:46] How birding was an outdoor gateway [13:58] Misconceptions about birding [18:20] What is a birder? [22:49] Useful bonus items for birding [24:17] What kind of binoculars to buy if you want some [26:39] How to create a happy bird space [29:48] How to get started with birding [32:07] How birding might be a gateway activity [35:17] Birding can even make you love this place [38:10] Yamina's favorite outdoor gear [39:24] Yamina's favorite outdoor moment

Author Marta Nater Perez talks about her new book “The Return of The Villains for Justice” about fictional villains seeking justice where there is injustice and taking the law into their own hands including women and children being abused, raped and more! Marta also talks about how she started writing and is an advocate of preventing child abuse while growing up in a difficult situation, plus her other releases “Villains for Justice”, “Life Growing Up: Child Abuse”, “I Am Beast”, “Samson and Delilah 2”etc. and her upcoming plans for 2022 and beyond! Check out the amazing Marta Perez Nater and her latest book on Amazon and www.mizmarta.com ! #martanater #martaperez #martanaterperez #author #villains #villainsforjustice #thereturnofthevillainsforjustice #childabuse #puertorico #newyorkcity #monsters #mizmarta #amazon #audible #iheartradio #spreaker #spotify #itunes #googleplay #applemusic #youtube #podbean #anchorfm #mikewagner #themikewagnershow #mikewagnermartaperez #themikewagnershowmarataperez #mikewagnermartanater #themikewagnershowmartanater --- Send in a voice message: https://anchor.fm/themikewagnershow/message Support this podcast: https://anchor.fm/themikewagnershow/support

Author Marta Nater Perez talks about her new book “The Return of The Villains for Justice” about fictional villains seeking justice where there is injustice and taking the law into their own hands including women and children being abused, raped and more! Marta also talks about how she started writing and is an advocate of preventing child abuse while growing up in a difficult situation, plus her other releases “Villains for Justice”, “Life Growing Up: Child Abuse”, “I Am Beast”, “Samson and Delilah 2”etc. and her upcoming plans for 2022 and beyond! Check out the amazing Marta Perez Nater and her latest book on Amazon and www.mizmarta.com ! #martanater #martaperez #martanaterperez #author #villains #villainsforjustice #thereturnofthevillainsforjustice #childabuse #puertorico #newyorkcity #monsters #mizmarta #amazon #audible #iheartradio #spreaker #spotify #itunes #googleplay #applemusic #youtube #podbean #anchorfm #mikewagner #themikewagnershow #mikewagnermartaperez #themikewagnershowmarataperez #mikewagnermartanater #themikewagnershowmartanater --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/themikewagnershow/message Support this podcast: https://anchor.fm/themikewagnershow/support

Author Marta Nater Perez talks about her new book “The Return of The Villains for Justice” about fictional villains seeking justice where there is injustice and taking the law into their own hands including women and children being abused, raped and more! Marta also talks about how she started writing and is an advocate of preventing child abuse while growing up in a difficult situation, plus her other releases “Villains for Justice”, “Life Growing Up: Child Abuse”, “I Am Beast”, “Samson and Delilah 2”etc. and her upcoming plans for 2022 and beyond! Check out the amazing Marta Perez Nater and her latest book on Amazon and www.mizmarta.com ! #martanater #martaperez #martanaterperez #author #villains #villainsforjustice #thereturnofthevillainsforjustice #childabuse #puertorico #newyorkcity #monsters #mizmarta #amazon #audible #iheartradio #spreaker #spotify #itunes #googleplay #applemusic #youtube #podbean #anchorfm #mikewagner #themikewagnershow #mikewagnermartaperez #themikewagnershowmarataperez #mikewagnermartanater #themikewagnershowmartanater

Interview de Florence Nater, conseillère d'Etat neuchâteloise en charge de l'asile.

In this week's episode of the eCom Ops Podcast, Norbert Strappler is joined by Nater Youngchild, Founder and CEO at D8a Driven. They discuss the success factors of Amazon eCommerce sellers, the significance of data handling and storage, and tailored resource pack for optimising eCom results.

No Agenda Episode 1401 - "Boost or Baste" "Boost or Baste Executive Producers: Sir Procras T. Nater Sir Cody David Smith Sir-pent of the Finger Lakes Alexander Nuttall Chris Engler Wook Travis Paradise Sir Sort It Out Associate Executive Producers: Sir Funk, Baron of Brisbane John Thayer Sir JD Baron of Si Con Val Michael Wojciechowicz Marlena Ferris Kelly Day Sir Greg of the Northern Island Become a member of the 1402 Club, support the show here Boost us with with Podcasting 2.0 Certified apps: Podfriend - Breez - Sphinx - Podstation - Curiocaster - Fountain Title Changes Sir Jason Keefer -> Baronet, Sir-pent ("serpent") of the Finger Lakes Knights & Dames Lili Patch -> Dame of the Happy Hummers, Black Knight Susan Beals -> Dame Momma Susan of the North County (San Diego) Cody David Smith -> Sir Cody David Smith Edward Culbert -> Sir Edge of the Fertile Connecticut River Valley Anonymous -> Sir Procras T. Nater Gregory Rademaker -> Sir Greg of the Northern Island Knighted on 1401, but included again due to his note: Robert Sharp -> Sir Zin of the Forgetten Vines Art By: Tante Neel End of Show Mixes: Engineering, Stream Management & Wizardry Mark van Dijk - Systems Master Ryan Bemrose - Program Director Back Office Aric Mackey Chapters: Dreb Scott Clip Custodian: Neal Jones NEW: and soon on Netflix: Animated No Agenda No Agenda Social Registration Sign Up for the newsletter No Agenda Peerage ShowNotes Archive of links and Assets (clips etc) 1401.noagendanotes.com New: Directory Archive of Shownotes (includes all audio and video assets used) archive.noagendanotes.com RSS Podcast Feed Full Summaries in PDF No Agenda Lite in opus format NoAgendaTorrents.com has an RSS feed or show torrents Last Modified 11/21/2021 14:31:17This page created with the FreedomController Last Modified 11/21/2021 14:31:17 by Freedom Controller  

Wilo Nater - Father, U.S. Army Veteran, Educator, and Adventure Racer - of Team Onyx tells us all about his recent experiences at the recent USARA National Championships, his introduction to the sport, and the steep learning curve that he is enjoying as a newcomer to AR. Listen along as his infectious spirit, love of all things outdoors, and his joy in being part of a team just pours out of him. Thank you, WIlo, for sharing your experience and enthusiasm with us. Links: Team Onyx - https://www.usara.com/tales-from-ta-the-usara-blog/get-to-knowteam-onyx (https://www.usara.com/tales-from-ta-the-usara-blog/get-to-knowteam-onyx)

Find out more about Nater Youngchild and D8a Driven: https://d8adriven.com Nater is an entrepreneur since the age of 18, a lifelong athlete and first-generation college graduate. Entrepreneur Story As the CEO and Founder of D8a Driven, Nater's entrepreneurial focus is on the SaaS platform that is an amalgamation of his +10 years leading eCommerce businesses. From a University dorm room in 2008, Nater built the first multi-store grocery delivery platform in the PNW, which brought him to Amazon.com where he learned and experienced blowing up brands on the Amazon marketplace. This led him to develop an Amazon consulting agency that did the same for brands and sellers driving over $500MM in growth on Amazon. And after 10 years of experience, he brought all of his learnings into the creation of D8a Driven, a better way to manage any Amazon business. He is engaged to a Canadian entrepreneur, and they live a life of adventure based out of a travel van and between homes in the mountains of Seattle, WA and shores of Victoria, BC. Nater prides himself on a balanced life between entrepreneurial ventures, mountain sport exploration (with a keen focus on backcountry snowboarding and snowmobiling) and a deep connection with his family, colleagues and friends abroad. Nater is also a mentor and backcountry freeride snowboard coach to youth that compete for the IFSA (International Freeskiers and Snowboarders Association) and FJWT (Freeride Junior World Tour) organizations around the globe. While Nater's personal entrepreneurial attention is devoted to D8a Driven, he also invests, advises and takes seriously his role in inspiring self-confidence in other entrepreneurs. This passion of his keeps him abreast of a plethora of industries and provides for a unique vantage point on the world (and makes it so he always has a good story up his sleeve). Nater's Unique Ability Statement: Self-motivated, inspiring and confident storyteller, supporter and leader. "My journey thus far has been inspiring, humbling and a beautiful ride, though I am still hungry for much, much more." -NY #amazon #amazonseller #entrepreneur #Story #tech #software

On this episode we discuss how to best forecast sales on Amazon so you can plan your inventory accordingly, with Nater Youngchild, from D8a Driven. Nater Youngchild has been an entrepreneur since the age of 18, and is a lifelong athlete and first-generation college graduate. As the Co-Founder and CEO of D8a Driven, Nater's entrepreneurial focus is on the SaaS platform that is an amalgamation of his +10 years leading eCommerce businesses. From a University dorm room in 2008, Nater built the first multi-store grocery delivery platform in the PNW, which brought him to Amazon.com where he learned and experienced blowing up brands on the Amazon marketplace. This led him to develop an Amazon consulting agency that did the same for brands and sellers driving over $500MM in growth on Amazon. After 10 years of experience, he brought all of his learnings into the creation of D8a Driven, a new and improved operating system for brands that sell on Amazon. D8aDriven drives profitable growth for brands on Amazon by executing a tailored strategy using the RIGHT data. Make sure to subscribe to the podcast so that you are notified of new episodes!

Diego Valsecchi und Pascal Nater feiern ihr Bühnenjubiläum. Nach zehn Jahren und vier Kabarettprogrammen ist der eine immer noch die bessere Hälfte des andern. Darum haben die künstlerisch Unzertrennlichen ihr Jubiläumsprogramm «Rosenhochzeit» getauft. Ein schwarzer Flügel, ein Champagnerkübel, rote Rosen. Und dann erscheinen zwei Herren im besten Alter und den allerfeinsten Anzügen. Genau so stellt man sich eine steife Jubiläumsgala vor. Es sei denn die Jubilare heissen Diego Valsecchi und Pascal Nater. Die beiden feiern sich mit sehr viel Selbstironie und den besten kabarettistischen Liedern aus ihren bisherigen Programmen. Musikalisch bravourös beschimpfen sie das Kleinkunstbühnenpublikum, loben hinterrücks den Kapitalismus und nehmen den Kantönli- und Kommissiönligeist aufs Korn. Höhepunkt des Programms ist das pompöse Musical «Der Schnügel und de jungi Puurscht», ein Vorgeschmack auf das, was noch zu erwarten ist, wenn Valsecchi und Nater erst einmal am Broadway auftauchen. Ein Mitschnitt aus dem Millers in Zürich vom 23. September 2021

Today we are joined by Fumbler Friend of the show: Nater! This week, it's Another Round, directed by Thomas Vinterberg. This is a film that was basically made for us. It follows four friends who fumble through life, by jacking up their BAC in an attempt to spark a little fiery passion back into their lives. It's super well made, it has beautiful shots, it has ups and downs, and it's all in Danish! So, should you be able to get past the barrier of subtitles, you will be rewarded with a film that is really special. But not special enough to make the Fumbler Hall of Fame... *cough* James *cough* Adrian *cough*Cheers brothers.Fumbler Score: 8.86Should you also want to spice up your life and jack up that BAC, check out our new web series: Fumbled Not Stirred! We show you how to make drinks based off of or inspired by movies!Catch us live every TUESDAY on Twitch at ~8:00pm MT for a chance to pick our next movie!filmfumblers.com for all our links!►Follow us on Twitter! - twitter.com/filmfumblers►Follow us on Twitch! - twitch.tv/filmfumblers►Send comments and movie suggestions to filmfumblers@gmail.com 

The Interns are in hot pursuit of Nater and the Baby-T, but are barrely holding on as they rapidly approach! Grab some merch and follow the show on twitter/instagram: https://linktr.ee/TalesFromTheStinkyDragon Support the show,take our survey! https://bit.ly/stinkydragonsurvey

Welcome to Episode # 5 of Chasing Edges! This week we were joined by former NHLer Scott Nichol! Scotty is currently the General Manager for the Milwaukee Admirals of the American Hockey League. He is also the Director of Player Development for the Nashville Predators of the NHL. This week our focus was Attention to Detail! We opened the show catching up after a week off. Nater is back in the full swing of things, between his gym, school starting back up, and RIT Men's Hockey back at school. Cole is back in the heart of NY, getting ready for Islanders training camp. We got into another edition of "Cole's Quirks" as well as a 1% task for Dirty Mike. (0:00:00-0:19:13) We then get into our interview with Scotty Nichol. Scotty discussed his journey into the NHL, and what helped him have such a successful career and play over 650 games! We then dove in to his role as General Manager and discussed the different things he preaches to his players. He discussed the attention to detail that he instills in his guys, and the process of being a professional! (0:19:14-1:02:50) We hope you enjoy this episode and interview! Don't forget to subscribe, listen, and tell your friends about the show! It means the world to us!

Welcome Dr Melissa Nater to the POWR podcast! We're doing a mini series on some fabulous Latina women in our group. Thank you Melissa for sharing your journey of leaving Puerto Rico and coming to the states for training. She is a pediatric cardiologist working in the intensive care unit. Melissa met the love of her life here on match.com (!), and together they have 2 beautiful kids. She is deep into training for the Chicago marathon, so please enjoy our conversation!!

Swen Nater is a Dutch former professional basketball player. He played primarily in the ABA and NBA, and is the only player to have led both the NBA and ABA in rebounding. Nater was a two-time ABA All-Star and was the 1974 ABA Rookie of the Year. He played college basketball for the UCLA Bruins under coach John Wooden, winning two NCAA titles. Today, Swen joins The New Norm with Eric Brooker to talk about his career and his experiences being coached by one of the greatest coaches in sports history, John Wooden. Learn more at www.ericbrooker.com     

Today we speak with former NBA player Swen Nater. Swen played his college basketball at UCLA under legendary coach John Wooden. Nater would win two national championships with the Bruins before playing in both the ABA and NBA. Despite never starting a game in his college career and averaging on 3.2 points per game and 3.3 rebounds per game as a senior, Swen was drafted in the first round of both the ABA and NBA. Swen would win Rookie of the Year in the ABA before moving to the NBA where he would 9 seasons leading the league in rebounding in 1980. Swen is an author of multiple books and a highly sought-after motivation speaker. We hope you enjoy our conversation with Swen Nater.

Interview de Florence Nater, socialiste et membre du nouveau Conseil d’Etat neuchâtelois.

Why do so many players admit MLB is flawed? / Bad Puns and Puck highlights / Why did McMillen complain about the Knicks? See omnystudio.com/listener for privacy information.

On today's episode Aidan is joined by John Nater the MP for Perth-Wellington who is also the Shadow Minister for rural economic development. Today Aidan and John discuss rural broadband, Covid-19 recovery, and the debt and deficit

Charlyn Nater is a published author, purpose coach, speaker, mother of 3 and wife! Born on the beautiful island of Puerto Rico and raised in The Bronx, Charlyn has a BA in Business Management and 25 years experience in Conflict Resolution and Youth Development. She is full of life, has an infectious positive outlook and a gift of propelling others into their purpose. She is a true "serialpreneur" as she has many successful businesses under her belt, including a 501c3 nonprofit called House of GEM; which helps women heal from past abuse through resources, prayer & workshops.    On this episode we discuss shifting away from the poverty mindset, the power of words, her relentless faith, motherhood, propelling yourself into purpose, and her entrepreneurial journey.  You can find Charlyn on IG at @iamcharlynnater , @houseofg.e.m and online at http://charlynnater.com/ .   

Ola er fortsatt på felgen og vinkar ironisk. Anders kastar folk ut av vindauget. Stig lyg så det renn over i kaffefilteret.

Episode 17 of The Mental Game Podcast features former NBA and ABA star Swen Nater. Nater won two championships playing for the great John Wooden at UCLA. Now an author and motivational speaker, the Dutchman heeded Wooden's famous philosophy while serving as a practice player behind Bill Walton. Nater was born in the Netherlands and immigrated to the U.S. as a nine-year-old. Before stepping on American soil, he had never seen a basketball. Nater didn't play in high school after being cut his junior season but subsequently catapulted to All-American heights at Cypress College in California. After Nater's dominant season at Cypress, Wooden recruited the big man to UCLA, telling Nater he wouldn't play but that he'd learn, practice and make it to the pros. Nater then became the only player to never start a college game but wind up as a first-round NBA Draft selection. He played 12 professional seasons. On the podcast, Nater reflects on the myriad teachings of John Wooden, including the Hall-of-Famer's legendary attention to detail and high-octane practices. Also a former sports psychology professor, Nater delves into how each of us can apply Wooden's philosophy to our own lives. The Mental Game podcast is produced by Sam Brief and music is courtesy of David Brief and Channel J. You can subscribe on Apple Podcasts, Spotify, Google Podcasts, TuneIn and Stitcher. --- Support this podcast: https://anchor.fm/sam-brief/support

Ich und das Radio – eine Hassliebe 11. Januar 2020 Host Pascal Nater erzählt... The post K wie Kontakt mit Pascal Nater appeared first on Kanal K.

Ich und das Radio – eine Hassliebe 11. Januar 2020 Host Pascal Nater erzählt... The post K wie Kontakt mit Pascal Nater appeared first on Kanal K.

Themen: Alternative Lebensformen, Auswandern, Ausflüchte; Interviews mit Eva und Pesche Panero, Cornel Greth und... The post K wie Kontakt mit Pascal Nater und Michel Walde appeared first on Kanal K.

Themen: Alternative Lebensformen, Auswandern, Ausflüchte; Interviews mit Eva und Pesche Panero, Cornel Greth und... The post K wie Kontakt mit Pascal Nater und Michel Walde appeared first on Kanal K.

Eine Sendung über das Generationenprojekt der Berufsfachschule BBB Baden, dem Historischen Museum Baden und... The post #Zeitsprung Bildung mit Sanja Lukanovic und Pascal Nater appeared first on Kanal K.

Eine Sendung über das Generationenprojekt der Berufsfachschule BBB Baden, dem Historischen Museum Baden und... The post #Zeitsprung Bildung mit Sanja Lukanovic und Pascal Nater appeared first on Kanal K.

21. Dezember 2020 Moderation: Michel Walde und Pascal Nater The post K wie KONTAKT mit Michel Walde und Pascal Nater #missverstaendnisse appeared first on Kanal K.

21. Dezember 2020 Moderation: Michel Walde und Pascal Nater The post K wie KONTAKT mit Michel Walde und Pascal Nater #missverstaendnisse appeared first on Kanal K.

Today's workplace is actually a second home for many people, as coworkers become families, people grow together resembling brothers and sisters. Then the unthinkable happens... someone is the center of a sick joke; their feelings are damaged and it seems almost like an instant replay of when they were being bullied on the schoolyard. But this time it’s different because with age is less tolerance, their attitude is crushed and any remaining self-esteem is only present within their imagination of a perfect life. This type of news spreads quickly as a lovely community is shocked by violence. The well known, well liked mildly mannered person snapped and behaviorally turned a reactionary killer... Episode #30 introduces an interesting story of the boy who became an accomplished man.  Who transformed his abilities with skills of passion, hard work and optimism, to take his leadership expertise for the prevention of workplace violence. To untangle complicated situations, takes someone who understands pain. Felix P. Nater is a fascinating example of identifying the champion within the celebrity. As a young boy he was placed in a children's home with his younger brother, without the luxury of speaking English, he refuses to allow the surrounding negative influences to distract his aspirations. Not only does he rise above his environment, but he succeeds professionally balancing two careers achieving high level leadership positions simultaneously. Once again I am honored to introduce this week's episode #30, my friend Mr. Felix Nater. Please let me know how you liked our conversation. Connect with Felix and tell him... Don sent you!      

Připravili a provázejí Iva Bendová a Mirek Vaňura.

We almost don’t even know how to properly introduce a person who has such an amazing and inspiring story, as well as a decorated basketball resume. Swen Nater is a name that will be a pleasant blast from the past for our seasoned listeners and basketball junkies who appreciate champions and greatness. For our listeners who may not be as familiar, you are about to be blown away by this man's story and basketball journey, with some laughs to go along with it. Without ever playing even a second of high school basketball, Nater started his basketball career at Cypress Junior College. He then went on to play for the legendary Coach John Wooden at UCLA where he backed up Hall of Famer Bill Walton and helped the Bruins win 2 National Championships. Nater was selected 16th overall by the Milwaukee Bucks in the 1972 NBA Draft and became the first player to be drafted in the first round without EVER starting a single college game. He was also drafted in the ABA and went on to win ABA Rookie of the year. He was a 2-time ABA All-Star and became the only player to lead both the NBA and ABA in rebounding. There is truly no episode quite like this one. We consider Swen as basketball royalty. You rarely get to learn and hear stories about playing for Coach John Wooden, Bill Walton, and playing in both the NBA and ABA, but in this episode you do! Honestly though, the journey of how he got there is far more impressive and the man and mentor he became after is something we truly admire. Thank you Swen Nater!

Mit sonOhr Geschäftsleiterin Bettina Rychener, Podcast-Schmiede Gründer Nico Leuenbereger und Schauspieler Diego Valsecchi 7.... The post K wie Kontakt mit Pascal Nater & Michel Walde appeared first on Kanal K.

Mit sonOhr Geschäftsleiterin Bettina Rychener, Podcast-Schmiede Gründer Nico Leuenbereger und Schauspieler Diego Valsecchi 7.... The post K wie Kontakt mit Pascal Nater & Michel Walde appeared first on Kanal K.

Salida’s Dynamic Duo chat with comic book artist and author Ozzy Longoria and preview his new book "Monsters & Heroes." Dave Haynes and Terry West also talk about the upcoming grand opening celebration this Saturday, August 22nd, and the changes at DC Comics. INCOMING: Magic: The Gathering Mystery Booster Tournament is set for August 22nd! It's house rules pack war. That's also the official grand opening day for Fantasy Games & Comics in their new location! Lots of festivities for the day, Ozzy Longoria will be signing his comics, and Nater will be signing copies of his new children's book, "Little Mountain Town."Recorded live every Wednesday (usually) at 5 pm at Fantasy Games & Comics on the corner of F and 1st Streets in historic downtown Salida, Colorado.

Gemeinderat Reto Fischer, Ausbildungspraktikant Florian Mani, Lehrpersonenlöhne 17. August 2020 Moderation: Pascal Nater &... The post K wie Kontakt mit Pascal Nater & Michel Walde appeared first on Kanal K.

Gemeinderat Reto Fischer, Ausbildungspraktikant Florian Mani, Lehrpersonenlöhne 17. August 2020 Moderation: Pascal Nater &... The post K wie Kontakt mit Pascal Nater & Michel Walde appeared first on Kanal K.

Salida’s Dynamic Duo dig into the huge shakeup at DC Comics that saw a third of their editorial staff terminated. Dave Haynes and Terry West also talk with artist Nater about his new children's book, "Little Mountain Town," and we get a hint about the villain of Dave's Monday night Dungeons & Dragons campaign.INCOMING: Fantasy Games & Comics Paint Class is August 15th. Tips and tricks to paint the Manticore and your minifigs. Entry fee is $25 (figure and paints included). Magic: The Gathering Mystery Booster Tournament is set for August 22nd! It's house rules pack war. That's also the official grand opening day for Fantasy Games & Comics in their new location! Lots of festivities for the day, and Nater will be signing copies of his new children's book, "Little Mountain Town."Recorded live every Wednesday (usually) at 5 pm at Fantasy Games & Comics on the corner of F and 1st Streets in historic downtown Salida, Colorado.

Kampfjets, Radio, Versicherungen und Roger Schawinski 10. August 2020 Moderation: Michel Walde & Pascal... The post K wie Kontakt mit Michel Walde & Pascal Nater appeared first on Kanal K.

Kampfjets, Radio, Versicherungen und Roger Schawinski 10. August 2020 Moderation: Michel Walde & Pascal... The post K wie Kontakt mit Michel Walde & Pascal Nater appeared first on Kanal K.

Interview de Florence Nater, directrice de la Coordination romande des associations d'action pour la santé psychique.

Update

Free Parking Podcast - DJ Nater/PHL Flyers (Episode 30) by Free Parking

New release nirvana and wifi woes. Also, when I said “ash tray” it sounds like I said “ass tray.” Food for thought! John Moreland -- “A Thought Is Just a Passing Train” AND “Let Me Be Understood” (LP5) Darth Nater -- “Every Lie I’ve Ever Been Told” AND “Coexist” (Untruth) Hannah Juanita -- "Our Love is Done" (Single) Miss Tess -- “The Moon Is An Ashtray” AND “I Wanna Be a Cowboy” (The Moon Is an Ashtray) Kathryn Claire -- “Eastern Bound For Glory” AND “Stay Gold” (Eastern Bound For Glory) Jen Starsinic -- “Foreign Thing” AND “Bad Actor” (Bad Actor) Sarah Pray -- “Like It Matters” (Caralee, Once There Was) The Jab -- “Riot” AND “Analeeza” (Consume) Born Again Virgin -- “Nothing In Your Eyes” (Single) (Homoground) Arbor Labor Union -- “Under the Tree” (New Petal Instants) Send me music via SubmitHub! Send me money via Ko-fi or Patreon. Find Rachel and her comic via https://linktr.ee/rachel.cholst

As part of our Target Tokyo series, Todd chats with the iconic Nate Koch. Nate is a prominent figure in US track racing on the bike and on camera. He has won National and Pan Am medals, broken national records, and is known for his showmanship in @sixdaycycling races. In this episode, he talks about his history with this sport, his new "On Your Left" initiative and some of the components that make Six Day Track racing a special form of cycling entertainment. Learn more about Nate @teamnater and @onyourleftofficial. 

send us a voice message! www.anchor.fm/onyourleft/message you can also reach us here: bj w- www.performancecyclecoaching.com e- bj@cyclecoaching.net ig- @performancecycecoaching ig- @heyitsyaboybj nater w- www.longbeachbikefit.com e- longbeachbikefit@gmail.com ig- @longbeachbikefit ig- @teamnater --- Send in a voice message: https://anchor.fm/onyourleft/message

Welcome back! Today’s topics include college town life and ‘Nater season! Sit back and brace yourselves for a crazy ride.

There’s been a studio mix-up! Our extended crew fills in for Jimbo and Deves... Game of Thrones Episode #2 Season 8 Recap... Sports Betting Analysis thru the roof... the boys review a summer staple beer... and an Easter Sunday “Shit You Don’t Say” from Bush...

...and how the automation of a popular beverage could disrupt all beverages in airports. This is the first episode in the Rise of the Machines series where I chat with companies in the airport experience market who are at the intersection of technology and food and retail.

Felix P. Nater, CSCNater Associates, Ltd.Security Management Consultants,http://www.naterassociates.comTOPIC:Strategy in Preventing Workplace ViolenceWe help Clients dismantle and dispel critical myths that impede the value of a successful strategy towards preventing workplace violence: “Workplace Violence is not preventable and it won’t happen here“.Texas Based - Dr. John Huber (www.mainstreammentalhealth.org) is the Chairman for Mainstream Mental Health, a non-profit organization that brings lasting and positive change to the lives of individuals that suffer from mental health issues.  Produced by Goldman McCormick PR

NBA star, Swen Nater, talks about UCLA Coach John Wooden’s philosophy on teaching.  Swen offers insight into how coach Wooden applied theories of learning to engage his players, effectively make corrections, and produce a team of motivated and successful players.  Swen and Kirsten give examples of learning strategies that work on and off the court.  They also talk about the reason that players with ADHD don’t need Ritalin on the court- even though they are in a learning environment.  This is a dynamic and educational conversation for parents, educators, and coaches. Swen Nater is a two-time ABA All-star, leading rebounder NBA and ABA, member of “30/30 Club,” author, coach and speaker. During his time playing at UCLA, he had the fortune to be coached by the legendary John Wooden.  They remained friends and Swen brought much of what he learned from Coach Wooden forward into his careers both on and off the court.   Your ADHD Life podcast Dr. Kirsten Milliken interviews people affected by ADHD.  Guests include parents, partners, teens, adults, teachers and other professionals. This is your online ADHD support community.

Kevin Nater, CEO & Co-Founder | Chas Studor, Founder & CTO Show Notes: 02:43 - The Evolution of Briggo 04:23 - “The Briggo Experience” 08:22 - Quality Control 12:44 - Source Origin 15:13 - Growth Plan 16:40 - Ramp Up Time 17:37 - Operation, Supply, and Usage Patterns 21:51 - Customer Feedback 25:02 - Consumer Perception and Design 27:41 - The Name “Briggo” 30:04 - The Future of Briggo Resources: @DrinkBriggo Transcript: Coming Soon!

Nate Koch has a deep connection to Sixdays Berlin

Welcome back to Territorial Noise. This week, @isadamonfire heads to Buffalo, New York to talk with the indie folk rocker Darth Nater. They discuss Nate's influences, what it's like to self-produce an album, and shared nostalgia of the 90's. Track List The Western Lowland Gorilla Song The Chinstrap Penguin Song Janus Y2K Be sure to check out People Are Animals on BandCamp, iTunes or streaming on your favorite service. You can follow Nate on Facebook, Twitter, or Instagram. Follow Territorial Noise on Facebook or Twitter. You can also follow Adam on Twitter This podcast is powered by Pinecast.

Because workplace violence prevention has been commoditized by sales people selling training videos, computer based training, active shooter training focuses on what to do "if" there's an active shooter instead of focusing on how to manage and prevent the transition from disgruntled employee to active shooter. This transition to homicidal violence is a reaction to a threat that inevitably results in death or injuries, too late. Our active shooter training is on what to do to minimize further risk during the shooting but not tied to prevention.  There are 5 stages to the active shooter mindset that never gets discussed. While in support of police intention, they cannot influence the workplace implementation of policies, plans, procedures and training. Nater and Associates website: naterassociates.com

Rich Klein was joined by Felix Nater  (Nater & Associates) and Timmian Massie (Health Quest) to analyze  the communication and security/law enforcement protocols in the aftermath of a terrorist-inspired incident on the campus of Ohio State University in Columbus on November 28, 2016. The show discussed “run, hide, fight” as well as workplace violence prevention and crisis... Continue Reading → The post The Crisis Show #120: Ohio State University Attack appeared first on FIR Podcast Network.

#TChat Radio is all new and live Wednesday, September 11, 2013, at 6:30 pm ET (3:30 pm PT), with the #TChat Twitter chat right after from 7-8 pm ET.   We remember where we were on 9/11 -- when the unimaginable became a horrific reality, just as the workday began.   Last week we talked about how recruiting is marketing, and this week, in honor of 9/11, we're going to talk about workplace violence.   The fact is that workplace violence can be any act of physical violence large scale or between two people. It includes threats of physical violence, harassment, intimidation, or other threatening, disruptive behavior that occurs at the work site. Workplace violence can affect or involve employees, visitors, contractors, and other employees.   And while the number of workplace homicides has decreased in the past few years, no one can ignore the reality that violence is still a serious issue for our communities, our schools, and our workplaces. Tonight's show is all about having a plan in place before tragic violence occurs.   Join #TChat co-creators and hosts Meghan M. Biro and Kevin W. Grossman as we welcome our special guests: Felix P. Nater, Chief Security Consultant, President and Owner of Nater Associates, Ltd., and Thomas Bronack, a Certified Business Recovery Professional (CBRP) from DRII.     This will be another important show about keeping the world of work safe and sound, while preparing for the worst.

In the newest volume of RtP, we discuss a litany of stories, including a (supposed to be) inspirational story with the Portland soccer team. Also on tap is the story of a coach in California trying to prove a point but lost his job. Those stories as well as a 2-minute around the horn breakdown of the NBA and NHL playoffs and the Floyd Mayweather fight so tune in! www.facebook.com/ridingthepine