Amazon Web Services, every mention
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every year anyone Matt Turck 34Benedict Evans 16Ben Uretsky 10Prat Moghe 9Aaron Katz 9Spencer Kimball 8Ali Ghodsi 8Savin Goyal 7Aravind Srinivas 7Erik Bernhardsson 6
Verbatim, from the transcripts: the passages where Amazon Web Services comes up
Cerebras CEO: Why GPUs Can't Do Fast Inference
- ▶ 5:56 Andrew Feldman TPU is Google, and Tranium is, is, uh, AWS.
- ▶ 58:04 Matt Turck Uh, there was an exciting deal with AWS as well, where you 3 times in the scene
OpenAI’s Compute Chief: We Can’t Build Fast Enough | Sachin Katti
- ▶ 28:43 Sachin Katti Uh, we also have compute, as we have announced, from AWS, Ion Google.
Cloudflare CEO: The Internet's Business Model Is Dead
- ▶ 12:54 Matthew Prince We, um, you know, we're, we're, we're sort of the next generation, um, sort of AWS or, or Google cloud where we're, we've rethought how that works.
- ▶ 43:23 Matthew Prince And so where, you know, an AWS or, or, you know, even in, you know, uh, SpaceX, they're, they're building giant data centers with lots of machines, very close together, hyper networked. 3 times in the scene
The GPU Myth: State of AI Compute 2026 | Stephen Balaban
- ▶ 48:57 Stephen Balaban That caused us to have a huge AWS bill.
The Agent Harness: Building Secure Sandboxes for Autonomous AI Workloads
- ▶ 44:52 Ivan Borzin That you would find in, you know, AWS or whatnot, is usually much slower to start, much harder to get those, uh, spikes, but also,
- ▶ 46:36 Ivan Borzin It was made by the, uh, AWS team.
- ▶ 52:20 Ivan Borzin So AWS has their software stack.
- ▶ 57:05 Ivan Borzin Well, yes, your consumption of it from us or from AWS is elastic, but someone actually has to like screw together a server, turn it on, boot it, make sure it works.
Benedict Evans: OpenAI’s Moat Problem & the Future of Software
- ▶ 3:17 Matt Turck Not Windows, but if you think of the oligopoly of AWS, Azure, and GCP, those are largely undifferentiated businesses that in, uh, because of the market size seem to be doing quite well. 4 times in the scene
- ▶ 22:50 Benedict Evans My point is, you know, you don't sign into your SaaS app with your corporate AWS account. 3 times in the scene
- ▶ 22:59 Benedict Evans No, no company has an AWS.
- ▶ 57:52 Benedict Evans And the hard part of that was not writing a bunch of SQL queries and setting up some database tables on AWS.
AI That Ends Busy Work — Hebbia CEO on “Agent Employees”
- ▶ 12:08 George Sivulka If you look at AWS's offerings, every single offering in that big menu is a different startup altogether with its own GM.
AI Eats the World: Benedict Evans on What Really Matters Now
- ▶ 5:01 Benedict Evans Or, you know, it's just an AWS wrapper.
- ▶ 29:10 Benedict Evans Um, the, the, the analogy that's been floating around, I think, is, is to, is to compare this with AWS, in the sense that AWS was a sort of an order of magnitude change in how easy you could get a startup out of the door.
- ▶ 40:35 Benedict Evans And it's interesting, you look at or listen to the conference calls, you know, and I'm sure you've done the chart, you've missed the chart of the CapEx, where like, Google, Meta, um, AWS, not Amazon overall, AWS only, and, um, and, and, um, 7 times in the scene
- ▶ 42:41 Matt Turck So we, we, uh, in our little, uh, tour, so we talked about, um, Apple, we talked about Google, we talked about AWS, we, we touched upon Meta, uh, a few minutes ago.
Jeremy Howard on Building 5,000 AI Products with 14 People (Answer AI Deep-Dive)
- ▶ 29:09 Jeremy Howard It's kind of a bit AWS like, you know, it's,
- ▶ 39:55 Jeremy Howard Yeah, I think, I think it'll be like AWS.
Rewriting Success: What InfluxDB 3.0 Teaches About Scaling—and Scrapping—Your Core Tech
- ▶ 1:04 Matt Turck And the strange but exciting day AWS moved from competitor to partner.
Dashboards Are Dead: Sigma’s BI Revolution for Trillion-Row Data
- ▶ 16:43 Mike Palmer One of the things that I knew before, I was working in infrastructure, and one of the things I knew before joining Sigma was that the price per terabyte of storing data in AWS for five years in a row was -65%.
- ▶ 32:45 Mike Palmer So, I mean, I, I don't think that happens in AWS because AWS has never been good at, uh, end user products.
Box’s Big AI Leap: Aaron Levie on Agents & the Future of Work
- ▶ 24:30 Aaron Levie Um, and Amazon web services didn't launch until like 2 times in the scene
Snowflake CEO on Winning the AI Arms Race
- ▶ 19:57 Sridhar Ramaswamy It's an Apache project with a set of contributors that come from many places, from Netflix, from Snowflake, from Databricks, from AWS, but it is vendor neutral.
- ▶ 23:40 Sridhar Ramaswamy Snowflake essentially runs in what we call deployments, which you can think as a point of presence in every major data center that AWS and Azure and GCP have.
- ▶ 1:18:34 Sridhar Ramaswamy At the end of the day, we are a smallish public company compared to the likes of Google and AWS and Microsoft, or even OpenAI in terms of how much money we are able to put for things like model training.
Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst
- ▶ 49:27 Matt Turck I mean, on there, you, you know, this, uh, you know, uh, certainly better than me, but on there, like a bunch of like iceberg, uh, uh, contributors, like AWS.
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 21:29 Ben Rogojan (Seattle Data Guy) Um, also getting familiar with interacting with cloud, or the cloud, however you want to call it, you know, AWS. 2 times in the scene
- ▶ 39:26 Ben Rogojan (Seattle Data Guy) Like AWS is trying to do their own version.
- ▶ 50:48 Ben Rogojan (Seattle Data Guy) Um, so I think in those places, you're going to see people pick other tools, or maybe somehow have five different instances of, uh, iceberg, uh, or, you know, maybe they've, one's using Databricks, one's using Snowflake, one's using AWS,…
Superintelligence, Bubbles And Big Bets: AI Investing in 2024 | Matt Turck & Aman Kabeer, FirstMark
- ▶ 27:06 Matt Turck And then, you know, Meta was very bullish as well, AWS as well, like another quote this time from AWS. 4 times in the scene
Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal
- ▶ 4:05 Erik Bernhardsson Like AWS, GCP, Azure, etc.
- ▶ 18:14 Erik Bernhardsson We use AWS, we use GCP, we use Oracle.
- ▶ 29:49 Erik Bernhardsson I tend to think about that as like the cloud itself, you know, I'm old enough to like, I, I, I, I, you know, started my career pre-cloud and I remember the first time I heard about AWS, you know, in 2007, 2008 or something when they…
- ▶ 35:16 Erik Bernhardsson Like, I look at, like, AWS, like, you know, you could argue, like, is AWS a commodity? 2 times in the scene
- ▶ 45:08 Erik Bernhardsson I look at, I mean, to me, like actually like the best companies and, and, you know, that, that I look at for inspiration would be like, you know, Datadog or Mongo or something like that, like started with, or AWS actually, frankly, like…
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 27:21 Jordan Tigani And, um, and it ends up being something that's kind of a trivially clonable by, you know, AWS, uh, or, you know, Google or somebody else.
AGI, The Future of AI Agents And The Next Wave of Opportunities in AI | Richard Socher, CEO, You.com
- ▶ 27:54 Richard Socher Uh, and I can now go on AWS and spawn up your new hardware, like,
Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB
- ▶ 5:00 Tobie Morgan Hitchcock So, we were using these different databases and the management of that in terms of managing four different databases, even in AWS, ensuring that they're up, working as you want them to be, updated in the right ways when you're updating an…
- ▶ 41:14 Tobie Morgan Hitchcock We then connect our compute loads to that, but the data itself is actually residing in object storage, so S-three in AWS situation, and that gives us nine nines of durability on the data that resides there.
Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
- ▶ 10:27 Mike Freedman Uh, the monthly costs of running such a PG vector scale deployment on AWS is 75% less expensive, uh, than PyIncome.
AI at ZoomInfo: Superpowering GTM teams | Ali Dasdan, CTO, ZoomInfo
- ▶ 5:39 Ali Dasdan You can go to, you know, AWS, uh, Databricks, 2 times in the scene
- ▶ 9:10 Ali Dasdan We are using both, uh, Google Cloud as well as Amazon Cloud.
- ▶ 38:40 Ali Dasdan Uh, there's also, as you know, either GC or AWS are providing, uh, 2 times in the scene
AI at Ramp: Making Every Team Radically More Productive | Eric Glyman, CEO, Ramp
- ▶ 16:38 Eric Glyman Um, AWS is, um, you know, like a lot for a lot of our storage and core app.
- ▶ 47:00 Eric Glyman Um, Google, AWS, Meta, Stripe, you name it, all of that.
Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
- ▶ 17:09 Sharon Zhou Uh, that's why we threw up our own cloud, because there was just, uh, like, large companies with, um, multi-billion revenue numbers could not get a node from AWS, despite their accounts being tens of millions or hundreds of millions with… 2 times in the scene
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 11:30 Aaron Katz And, uh, yeah, we then had to decide what cloud provider we were going to start with and we chose AWS and we then have subsequently deployed on GCP and we'll be deploying on Azure and launching that service in public bait in two weeks on
- ▶ 17:55 Aaron Katz And an example of that would be Netflix, for example, that that's using ClickHouse, um, in AWS, but they manage that environment and we work with them. 3 times in the scene
- ▶ 36:28 Aaron Katz Uh, we do a lot of the regional events, the regional AWS events, and then we do a ton of meetups.
How Airtable is Ushering 500,000 Organizations Into The Era of AI | Howie Liu, CEO of Airtable
- ▶ 17:57 Howie Liu And, you know, some common patterns emerge, like, you know, a lot of marketing orgs, but we actually just had, um, somebody from Amazon Web Services present on stage at a conference we did today about how they're transforming every part of…
- ▶ 19:38 Howie Liu And in the case of Bedrock, you know, because we as a service are hosted on AWS, Bedrock itself is an AWS offering. 3 times in the scene
The $9B Startup Going After Snowflake and Databricks | Renen Hallak, CEO of VAST Data
- ▶ 18:49 Renen Hallak The, the fourth piece of the platform, in addition to the data store, data base, and data engine, is what we call the data space, and that allows us to go across geographies, and so now you can run a vast instance in, uh, public cloud AWS…
- ▶ 20:25 Matt Turck Uh, so cloud that's going to be the AWS's, the S-III's of the world possibly.
Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer
- ▶ 15:33 Matt Turck You could very much argue that, um, the storage layer of an AWS versus a GCP versus an Azure, uh, is entirely not differentiated.
Is AI a platform shift or a paradigm shift? With Benedict Evans
- ▶ 14:06 Benedict Evans You don't look at that and say, well, that's just an AWS wrapper. 2 times in the scene
Foursquare’s Remarkable Transformation Into Leading Location Intelligence Platform | Gary Little
- ▶ 6:29 Gary Little One analogy I like to use for the team internally is what we've been up to over the last three years is really similar in some sense to Amazon building AWS many moons ago.
2024 will be the year of ENTERPRISE AI | Florian Douetteau, CEO of Dataiku
- ▶ 0:28 Florian Douetteau AI and ML Partner for the year for Databricks, Snowflake, AWS.
- ▶ 23:40 Florian Douetteau Yeah, we were honored to be last year both AI and ML partner for the year for Databricks, Snowflake, and AWS, which is great, meaning we can work with everyone. 2 times in the scene
Future of The Modern Analytics Stack | Tristan Handy, CEO of dbt
- ▶ 17:02 Tristan Handy AWS and, and, uh, and Azure and Google kind of sit at the top of this food chain and then people like me and George just get to figure out what everybody else above us is doing.
Perplexity AI CEO on Dethroning Google & Redefining Search
- ▶ 29:25 Aravind Srinivas And if it's successful and it's growing, like we will commit to like, you know, running the company like Amazon, where there's AWS and there's core amazon.com simultaneously fueling each other.
- ▶ 49:03 Aravind Srinivas I think for the cloud, you can use AWS or Azure. 6 times in the scene
Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs
- ▶ 21:02 Ori Goshen Uh, one of our, uh, you know, uh, one of the latest, uh, latest studies that were done by AWS show that actually our models are top performing at a rag at, uh, retrieval augmented generation. 2 times in the scene
An AI Assistant to Work Faster with Notion's Head of Data, Daniel Sternberg
- ▶ 4:43 Daniel Sternberg We're in AWS, mostly in AWS today. 2 times in the scene
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 20:55 Chris Wiggins That said, there is also a lot of work being done in AWS, and plenty of developer work happening on Amazon's Cloud, um, so the data stack is, in my team, the data stack is SQL and scikit, and occasionally Go, so it's scikit-learn is, is a… 2 times in the scene
Long Term Memory for AI with Pinecone Founder & CEO, Edo Liberty
- ▶ 11:42 Edo Liberty And then in 2016, um, uh, Swami Shiva Subramanian who now runs all databases and AI services in AWS. 3 times in the scene
- ▶ 25:37 Edo Liberty And the second thing is, having spent a lot of time in AWS, I got indoctrinated a little bit to be, you know, customer obsessed rather than competitor obsessed.
- ▶ 26:23 unnamed speaker Um, just wondering, since you've been on both sides of the world, like you were in AWS, and it's big tech, you've seen how it works, and now you are in the startup side of things, super fast-paced, constantly innovating.
Build and Deploy AI with Pytorch | Lightning AI Founder & CEO, William Falcon
- ▶ 7:57 William Falcon Thousands of GPUs and AWS.
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 0:41 Dimitri Sirota And that requires a way to look across, especially in the cloud, you know, hundreds of possible varieties of data sets from, you know, um, um, document DBs to, I saw your investor in Cockroach to everything that's possible in, uh, AWS,…
- ▶ 7:41 Dimitri Sirota So one thing to understand is while we started cloud native and AWS, we very quickly kind of realized that we needed to make the cloud runnable in GCP and Azure and in a private cloud, but also even in a, in a, uh, legacy data center.
- ▶ 30:45 Dimitri Sirota They couldn't even spell an API, uh, until really Amazon Web Services came out, mobile applications took off.
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 15:51 Spencer Kimball Ah, so most, it was introduced with, ah, I think, like I said, nothing's new in computer science, so I don't know what the very first usage was, but the one that I became aware of was AWS's Lambda. 2 times in the scene
- ▶ 21:45 Spencer Kimball So in other words, the way that AWS offers their databases to all of their customers.
- ▶ 26:43 Spencer Kimball When we started the company, it was, it was, I think, a good bet that that's, that was the right way for us to do it, and we operated under that until it started to become clear that open source business models were under threat, in… 4 times in the scene
Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
- ▶ 4:39 Jack Berkowitz And we're on some of the data exchanges, you know, like the AWS one, or the Snowflake one, for example.
- ▶ 18:29 Jack Berkowitz Um, but our, our cloud stack is, is, you know, we're proud of the fact that it's in AWS.
- ▶ 25:35 Jack Berkowitz You know, AWS had an outage in December.
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 26:30 Matt Housley And, uh, this is something that's responsible for like a lot of horrifying AWS bills and horrifying snowflake bills.
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 15:07 Benn Stancil You can run it for way less price than you're probably paying for Snowflake. 4 times in the scene
- ▶ 33:25 Benn Stancil Um, all that stuff can be rebuilt on top of, like, a data infrastructure instead of on top of just sort of AWS and S-three and EC-two and all that kind of stuff.
- ▶ 40:30 Benn Stancil So if I, again, I can integrate a bunch of AWS services together really easily, but they're separate products, kind of.
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 10:50 Pete DeJoy We have one in AWS, one in GCP, one in Azure. 3 times in the scene
- ▶ 22:23 unnamed speaker Uh, just in terms of the workflow, when you committed the code, did the, uh, was there a back end process that was responsible for building the AMI and pushing it out to AWS or like in terms of CA, you know, continuous integration? 2 times in the scene
Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 11:35 Aaron Katz I first met Yuri when he was running platform engineering at Netflix and led their migration to the cloud, uh, for a number of years, I believe he was large AWS's largest customer at the time.
- ▶ 14:25 Aaron Katz And we've, we've seen other companies in their approach to neutralize, in many cases, the threat of large cloud service providers like, like AWS and others. 3 times in the scene
Fireside Chat: Ali Ghodsi (Founder & CEO, Databricks) with Matt Turck (Partner, FirstMark)
- ▶ 15:04 Ali Ghodsi And this was inspired by AWS. 3 times in the scene
- ▶ 21:08 Ali Ghodsi Um, you know, I'll start by saying, you know, it's kind of like people make it about zero sum, but if you answer it like this, do you think Google Cloud will eliminate Amazon Cloud and Microsoft Cloud, or do you think, you know, Amazon… 2 times in the scene
- ▶ 28:14 Ali Ghodsi Like if you look at Amazon Web Services, it's not a one trick pony, right? 2 times in the scene
- ▶ 30:33 Ali Ghodsi And that has been really hard up until, you know, Red Hat and all these companies that were doing supporting services, until Amazon Web Services cracked the code on the business model.
Fireside Chat: Dev Ittycheria (President & CEO, MongoDB) with Matt Turck (Partner, FirstMark)
- ▶ 21:15 Dev Ittycheria Uh, in fact, I would argue, for example, that AWS has done a better job monetizing MySQL than MySQL, Sun, or Oracle ever did, right? 4 times in the scene
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 8:51 Dave Burgess Now we're, all of contrast is, is running on EWS. 2 times in the scene
- ▶ 12:30 Dave Burgess And that's, you know, mostly from this data that comes into, that comes into S three and AWS.
Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark)
- ▶ 15:52 Bindu Reddy So for the people who have like that 500 person machine learning team, like take Pinterest, and Pinterest of course only uses AWS, as they've mentioned.
Fireside Chat: Chip Huyen with Matt Turck (Partner, FirstMark)
- ▶ 15:14 Chip Huyen Like, you can, um, like, either, like, um, have, uh, bigger, like, better servers, like, some AWS, you can bigger, like, GPUs and stuff, or we can have, like, um, uh, more power for,
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 9:36 Jack Hanlon From the top view, I'd say we're, we're AWS prod, um, with originally a lot of Postgres, um,
- ▶ 22:49 Matt Turck Folks, um, Mohammed asks, uh, what motivated the move to GCP from AWS to, to the extent you can talk about it?
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