Amazon Web Services, every mention
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tap a year for its mentions
every year anyone Shawn Wang 21Simon Eskildsen 8Alessio Fanelli 7Erik Bernhardsson 5Eric Simons 5Brendan Falk 4Kevin Ben-Smith 3Jake Cooper 3Ethan He 3Eiso Kant 3
Verbatim, from the transcripts: the passages where Amazon Web Services comes up
🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
- ▶ 2:44 Anima Anandkumar I led AI research there, and before that at Amazon Web Services helped
- ▶ 1:09:03 Anima Anandkumar And so that's where a lot of, like, the exploration was to make this work well in practice and over into Amazon Web Services, then Nvidia.
Exo: Harnesses should see their own code and logs — Alex Krentsel, UC Berekeley / Google Research
- ▶ 28:31 unnamed speaker If my very routine task is somehow requesting my AWS keys, like something's wrong, even if I have it there.
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- ▶ 6:42 Matthew Berman Uh, they, they just partnered with, I think it was AWS, and they, they, they landed a bunch of chip deals, a bunch of compute, uh, bandwidth deals.
- ▶ 26:04 Shawn Wang There have been companies that were all in on AWS, or all in on GCP, and there have been other companies that were multi-cloud, they're always, you know, like, I'll use the, the Terraform, the whatever. 2 times in the scene
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 8:56 unnamed speaker And that's not something AWS is doing directly.
Scaling Past Informal AI - Carina Hong, Axiom Math
- ▶ 7:37 Carina Hong I think like there's a lot of push about automated reasoning at AWS, because they have a lot of enterprise customers that really requires things to be, to be a hundred percent, you know, verified, and there's no edge cases, uh, like missed…
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona
- ▶ 29:46 Ivan Burazin Daytona, although as a compute provider, it's more akin to a Twilio and Stripe from a consumption perspective than it is an AWS.
- ▶ 1:09:52 Shawn Wang Are you, you know, is, is the potential new Heroku, new AWS, or new, what's new Stripe? 2 times in the scene
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
- ▶ 18:59 Jake Cooper And so what we can do is, um, you know, we work with AWS and GCP and a few of those, you know, other, other clouds, like we can just rent. 2 times in the scene
- ▶ 50:58 Jake Cooper I think the, the era of, like, I have an AWS instance, and I'm going to, you know, get four vCPU and 16 gigs of RAM,
- ▶ 1:28:12 Shawn Wang You know, the AWS.
Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work
- ▶ 9:03 Shawn Wang I mean, you know, Notion is the AWS wrapper, but like the, the wrapper is very beautiful and like very well polished. 3 times in the scene
- ▶ 10:04 Alessio Fanelli So I'm curious how you put that expertise into a product versus, you know, obviously AWS cannot build Notion.
⚡️ The best engineers don't write the most code. They delete the most code. — Stay Sassy
- ▶ 46:31 Stay Sassy PM Yeah, I think, for one thing, very telling that this was Amazon, so a very, very large software company, one of the biggest software companies in the world, that also does a lot of things that really are business critical, and supports,…
The Stove Guy: Sam D'Amico Shows New AI Cooking Features on America's Most Powerful Stove at Impulse
- ▶ 20:11 Sam D'Amico So I started using, I think this was Sonnet IV, I started using Sonnet IV with Cloud Code, and I was basically went and built an end-to-end fleet telemetry system from, like, Terraform, like, like, all, like, like, infrastructure in…
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
- ▶ 20:08 Simon Eskildsen It started getting really painful in like mid-twenty-twenty-four, because we were closing deals with, um, um, Notion actually, that was running in AWS, and we're like, trust us, you, you really want us to run this in GCP? 3 times in the scene
- ▶ 21:27 Simon Eskildsen East, the Google, like the GCP and, and AWS data centers are like within a millisecond on each other on the public exchanges. 5 times in the scene
- ▶ 37:10 Shawn Wang And like, is how much does stuff like VPC peering matter because you're working in AWS land where egress is charged and all that, you know?
Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
- ▶ 6:40 Shawn Wang As a, you know, typical like cloud hardware person, you go into an AWS, you pick like T five, XXL, whatever, and then it's just like from a list and you look at the specs, like why animate this?
Why Your AI Agents Don’t Work with Dex Horthy of HumanLayer | In-Context Cooking
- ▶ 8:31 Dex Horthy And so instead of like using your SAS, they'll almost always ask you to like send the app into their data center, into their AWS cloud.
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 20:49 Alessio Fanelli Like if you think of the AWS console, right? 2 times in the scene
Dylan Patel Explains the AI War While Cooking | In-Context Cooking
- ▶ 29:18 Dylan Patel Whether it's meta through ads, uh, whether it's, um, Google through search, uh, whether it's Amazon through AWS and Amazon.com, um, so on and so forth, right? 2 times in the scene
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 1:54:47 Doug O'Laughlin It's not just a, like a GitHub Azure thing. 2 times in the scene
⚡️Context Graphs: according to the authors — Jaya Gupta, Ashu Garg, Foundation Capital
- ▶ 15:27 unnamed speaker It feels more like I am like AWS.
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- ▶ 12:00 David Soria Parra We literally just spent the last two days at the Google offices with a bunch of, like, scene engineers from Google, Microsoft, AWS, Anthropic, OpenAI.
AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
- ▶ 45:17 Joubin Mirzadegan Like it reminds me when I was in the public cloud, like my career was in the public cloud before this and the very early days, everybody was moving from on-prem to AWS.
Terminal-Bench: Pushing Claude Code, OpenAI Codex, Factory Droid, et al to the limits
- ▶ 7:09 Mike Merrill You know, like the example that I like to give is if you've ever tried to launch an EC two instance through AWS, like clicking through their GUI, it's probably 20, 30 clicks to get that thing off the ground, you know, collecting,…
Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- ▶ 47:39 Alessio Fanelli You know, they will subsidize some of it just the same way, you know, if you go on SM compute, SF compute, like you pay a buck 40 for like an H 100 instead of like the two 20 listed price on AWS.
The antidote to AI fatigue — Answer.ai Solveit
- ▶ 4:59 Jeremy Howard No AWS, no Google Cloud, whatever.
Taste is your Moat (Dylan Field of Figma)
- ▶ 5:42 Dylan Field We were at, like, a wooden table outside in some, like, Santa Cruz, you know, nature setting, and he's on the Wi-Fi, which is super slow, connecting to AWS, and he's like, look at this. 2 times in the scene
⚡️No, Don't Do Palantir for AI - Brendan Falk, Hercules (AUDIO FIXED)
- ▶ 1:35 Brendan Falk We got acquired by AWS in.
- ▶ 2:16 Brendan Falk So I was working with all of these private equity backed customers of AWS on AI transformations effectively. 2 times in the scene
- ▶ 25:24 Brendan Falk When we got acquired by AWS, we actually had a non-compete for our product for two years.
A Technical History of Generative Media
- ▶ 10:59 Batuhan Taskaya So it's like, we were at like the right time, you know, the very, it was like, uh, the, the, actually like the, the, the space was actually so, so much worse than what we have today, where like the running basic, like stable diffusion, 1.5…
- ▶ 19:07 Batuhan Taskaya I mean, we are any cloud provider, like what, what, what, what do they think in like AWS or Google cloud or these new clouds?
Long Live Context Engineering - with Jeff Huber of Chroma
- ▶ 54:17 Shawn Wang And part of that is like, it's part of that is cloud engineering, because a lot of times you're just dealing with AWS.
[AIEWF Preview] Containing Agent Chaos — Solomon Hykes
- ▶ 26:19 unnamed speaker But, like, you know, to give them my AWS account and just go, that's, like, that's tricky.
Voice AI Masterclass — Kwindla Hultman Kramer and swyx
- ▶ 3:32 Kwindla Hultman Kramer We'll have people from open AI and from deep mind and from Nvidia and from AWS doing office hours.
Why Every Agent needs Open Source Cloud Sandboxes
- ▶ 27:36 Vasek Mlejnsky You know, with the DevTools, especially Infra, I always see this pattern, and I had this, like, naive idea, idea as well, that the founder says, like, oh, this AWS pricing, it's terrible, like, you, or GCP, like, you have no idea what you…
- ▶ 1:00:44 Vasek Mlejnsky Uh, probably down the road somewhere like you, we want to build essentially like the new AWS, but for LLMs.
SF Compute: Commoditizing Compute
- ▶ 2:35 Evan Conrad So if you take like Gusto, for example, or Rippling, or an HR service like this, when they're buying from an AWS or a GCP, um, they're buying CPUs and they're running web servers.
npm install Agents — with Sunil Pai and Rita Kozlov (VP AI) of Cloudflare
- ▶ 33:54 Shawn Wang I still remember, like I was at AWS when we shipped, uh, you know, like container serverless containers and everyone's like, what the hell does that mean?
Snipd: The AI Podcast App for Learning — with CEO Kevin Ben-Smith
- ▶ 54:54 Kevin Ben-Smith Sorry, AWS of, of AI. 3 times in the scene
Browserbase: Browser Infrastructure For Your AI Agents
- ▶ 13:14 Paul Klein Well, I, we use Amazon at browser base. 2 times in the scene
The AI Architect: Bret Taylor
- ▶ 16:43 Bret Taylor You kind of know how to, how databases work, how to build auto scaling with your AWS cluster, whatever, you know, it's just, you're just applying best practices to yet another problem.
- ▶ 23:20 Bret Taylor So open AI and Microsoft, Anthropic and Amazon Web Services, Google Cloud, XAI, which is very well capitalized now.
Beating OpenAI and Anthropic by Looking At Data: the new #1 on SWE-Bench w/ W&B CTO Shawn Lewis
- ▶ 29:41 Shawn Lewis Yeah, so, like, if you want, like, alpha about how to make AI agents, like, go figure out the crazy process to get your, uh, AWS credentials and download all these trajectories and what people have written.
DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
- ▶ 16:53 unnamed speaker And we're seeing this more and more where a customer has big committed resources inside of their AWS VPC or, or GCP or, or, or what have you.
- ▶ 31:08 unnamed speaker So, you know, there are models on base end today that have 50 replicas in GCP East and, uh, 80 replicas in, in, uh, AWS West and, and Oracle in, in London, um, et cetera.
Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 2:46 Alessio Fanelli I was at, um, AWS to reinvent and the line to get into like the
- ▶ 41:29 Alessio Fanelli I think like a lot of AWS customers, you know, they do this big reserve instance contracts and now they gotta use their money. 2 times in the scene
2024 in Post-Transformer Architectures: State Space Models, RWKV [Latent Space LIVE! @ NeurIPS 2024]
Best of 2024: Open Models [LS LIVE! at NeurIPS 2024]
- ▶ 28:08 unnamed speaker So you can use our model on Google Cloud, AWS, Azure, uh, Snowflake, IBM.
0 to over $8M ARR in 2 months as a Claude Wrapper (Bolt.new, Qodo)
- ▶ 34:54 Itamar Friedman The other could be, like, if it's air-gapped completely, or you want VPC, and then you have Azure, GCP, and AWS, which is different.
- ▶ 38:55 Eric Simons Are you kind of plugging into, you know, Azure's OpenAI stuff and AWS's Bedrock, you know, Claude stuff, or like, or are they just like running stuff on GPUs? 5 times in the scene
[Paper Club] Embeddings in 2024: OpenAI, Nomic Embed, Jina Embed, cde-small-v1 - with swyx
- ▶ 17:16 unnamed speaker Um, so Gina clip two came out of the box with like, here's how you deploy to AWS, Azure, Google cloud.
[Paper Club] DocETL: Agentic Query Rewriting + Eval for Complex Document Processing w Shreya Shankar
- ▶ 15:38 Eugene Yan The search space of chaining together all the different Lego blocks of putting together all the different AWS services is infinite.
Agents @ Work: Dust.tt — with Stanislas Polu
- ▶ 57:59 Shawn Wang There are a few, you know, there's success stories on both sides, but there's Amazon and Amazon web services, but very few.
Production AI Engineering starts with Evals
- ▶ 1:28:35 unnamed speaker You wouldn't have, like, all this, like, committed spend on AWS that you were like, okay, fine, I'll do, I'll use Cloud because I already have that.
- ▶ 1:37:37 Ankur Goyal It feels like using Joyent instead of using AWS or something.
Building AGI in Real Time (OpenAI Dev Day 2024)
- ▶ 30:03 Shawn Wang What I, what I think this is becoming, by the way, and, uh, I don't, like, uh, it's basically like you're becoming AWS, like the AI cloud.
Building AGI with OpenAI's Structured Outputs API
- ▶ 6:17 Shawn Wang Yeah, DynamoDB, I, I, um, when I learned, I worked at AWS briefly, and it's kind of like the memory register for the web. 2 times in the scene
Is finetuning GPT4o worth it?
- ▶ 31:10 Alistair Pullen They are partnered, they are partnered with AWS, and it's going to be in bedrock.
The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- ▶ 51:19 unnamed speaker to, to the AWS, right?
State of the Art: Training 70B LLMs on 10,000 H100 clusters
- ▶ 19:49 Josh Albrecht And if we're just using, you know, AWS or some other cloud provider,
- ▶ 37:30 unnamed speaker I mean, like Kubernetes, like, uh, that point about Kubernetes, I will say as a former AWS employee, like, uh, it, it seems like it would be, uh, ideal for Imbue to at some point make it more, uh, abstracted or agnostic, uh, because…
Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
- ▶ 11:46 Damien Murphy I'm actually at an AWS hacker space for a meetup with personal AI.
A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
- ▶ 58:34 Ben Firshman Like, GPUs are hard to get hold of if you, like, if go to AWS and ask for one A-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
- ▶ 16:48 Shawn Wang Yeah, so, um, uh, on my end, the reason I wrote self-revisioning runtimes was, um, I was working at AWS, and, uh, we had AWS CDK, which is kind of like, you know, the Amazon basics blew me. 5 times in the scene
- ▶ 25:38 Erik Bernhardsson And, um, so in many cases, like that actually leads to a sort of interesting thing where like we obviously run our things on like the public cloud, like AWS GCP, we run on Oracle.
- ▶ 34:45 Erik Bernhardsson And I, I think Snowflake, you know, to me won because like, I mean, in the end, like AWS makes all the money anyway, like, and, and like Snowflake just had the ability to like focus on like developer experience or like, you know, or user…
- ▶ 35:55 Erik Bernhardsson So they would just go and like move it to, you know, whatever AWS or, you know, in particular, uh, and, and, you know, that's something that keeps me up at night too.
- ▶ 55:22 Erik Bernhardsson Uh, and yeah, like, compared to, you know, I mean, I mean, we love AWS and AGCP, too. 2 times in the scene
Building an open AI company - with Ce and Vipul of Together AI
- ▶ 31:34 Vipul Ved Prakash Which, when you compare to the cloud computing of today, you know, AWS's last year was eighty eight billion dollars in revenue.
- ▶ 38:51 Ce Zhang If you go to AWS, you do know which region you are in, right? 2 times in the scene
The Four Wars of the AI Stack - Dec 2023 Recap
- ▶ 58:16 unnamed speaker This guy was the former, uh, GM of AWS RDS. 3 times in the scene
The Accidental AI Canvas - with Steve Ruiz of tldraw
- ▶ 57:23 unnamed speaker Like, uh, as someone who has, uh, works at AWS, um, I see a lot of systems diagrams, like cloud diagrams, um, entity relationship diagrams for database schema. 2 times in the scene
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- ▶ 3:04 Dylan Patel And so, you know, people talk about, you know, hey, Amazon is great, AWS is great, because yes, it is easy to use, and they've built all these things, but behind the scenes, and no one really talks about it that much, but it's like, behind…
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
- ▶ 10:46 Michael Royzen So I downloaded Common Crawl, and thankfully I had, like, 10 or 15,000 dollars worth of AWS credits left over from the SmartLens project. 2 times in the scene
The End of Finetuning — with Jeremy Howard of Fast.ai
- ▶ 30:05 Jeremy Howard Like, for example, for working with EC-II on AWS, I created a fast EC-II library, which I think is, like, way more convenient and nice to use than anything else out there.
Ep 18: Petaflops to the People — with George Hotz of tinycorp
- ▶ 41:24 George Hotz I mean, okay, you can go to like VAST, but like if you're going to an Azure AWS, oh, that's expensive.