Nvidia, every mention
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every year anyone Matt Turck 120Dylan Patel 33Bryan Catanzaro 32Stephen Balaban 21Dan Fu 21Nathan Benaich 12Sharon Zhou 10Gaurav Misra 8Benedict Evans 5Andrew Feldman 5
Verbatim, from the transcripts: the passages where Nvidia comes up
From Selfie to Studio: Captions CEO on AI Video for 10M Creators
- ▶ 48:53 Gaurav Misra They're actually slower than like a T four, for example, which has like media sort of like, um, drivers and stuff that can actually like do it really quickly. 3 times in the scene
Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst
- ▶ 28:32 Justin Borgman They're selling, selling a ton of servers right now, AI servers, which are basically, you know, have a lot of GPUs in them, a lot of NVIDIA products in there, and are seeing customers that are trying to get economies of scale, uh, by… 2 times in the scene
What You MUST Know About AI Engineering | Chip Huyen, Author of “AI Engineering”
- ▶ 0:08 Matt Turck Now, Chip is a well-known writer and computer scientist who has taught AI at Stanford, worked as an AI engineer at places like Nvidia, Netflix, and Snorkel, and has become a bit of a superstar in the AI community through our influential…
Building the Easy Button for Generative AI | May Habib, CEO, Writer
State of AI 2024: Frontier Models, AI Geopolitics, Robotics | Nathan Benaich, Air Street Capital
- ▶ 24:09 Nathan Benaich Um, all these authors on it that have now gone on to found, uh, you know, Anthropic, like, Adapt, uh, they lead teams at NVIDIA, et cetera.
- ▶ 41:29 Nathan Benaich Um, yeah, I mean, one of the major predictions I think we, we got right like a few years ago, uh, was that when Arm and NVIDIA announced that they were going to merge, we're like, this is not going to happen for competition grounds. 9 times in the scene
- ▶ 44:31 Nathan Benaich So for example, last year, the most popular chip was the V-one hundred, which was released almost like six or seven years ago. 2 times in the scene
Superintelligence, Bubbles And Big Bets: AI Investing in 2024 | Matt Turck & Aman Kabeer, FirstMark
- ▶ 5:08 Matt Turck First, and then he announced just a few days ago that he had doubled that, or he was in the process of doubling that to 200,000 NVIDIA GPUs, and apparently the plan is to get to 300 Blackwell GPUs when they come online.
- ▶ 5:08 Matt Turck First, and then he announced just a few days ago that he had doubled that, or he was in the process of doubling that to 200,000 NVIDIA GPUs, and apparently the plan is to get to 300 Blackwell GPUs when they come online.
- ▶ 7:02 Matt Turck Uh, so, you know, obviously the company everybody loves is Nvidia. 6 times in the scene
- ▶ 25:24 Matt Turck Both Nvidia and TSMC were saying publicly recently that the demand for Blackwell chips was absolutely insane.
- ▶ 38:02 Matt Turck We talked about NVIDIA. 2 times in the scene
Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal
- ▶ 2:45 Matt Turck Nvidia, Model Labs, Grok, Lambda, CoreWeave, all those companies.
- ▶ 7:35 Erik Bernhardsson Like, you know, traditionally all these like LM inference, you know, providers obviously been building on H 100 or, you know, Nvidia GPUs, but
- ▶ 7:35 Erik Bernhardsson Like, you know, traditionally all these like LM inference, you know, providers obviously been building on H 100 or, you know, Nvidia GPUs, but
- ▶ 35:03 Erik Bernhardsson Like, for a while, like, each 100 prices were, like, almost, like, going up, and then they were kind of still for a while, and then now they're, like, actually going down quite a lot, like, you know, what I'm seeing in the market, right?
The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
- ▶ 52:58 Clement Delangue So when you think about, about Microsoft, when you think about NVIDIA, uh, all, all these companies are, uh, massive customers of, of ours. 2 times in the scene
AGI, The Future of AI Agents And The Next Wave of Opportunities in AI | Richard Socher, CEO, You.com
- ▶ 27:37 Richard Socher And, um, you know, there's also a lot of hardware companies are trying to say, oh, we're a hundred X better than this NVIDIA GPU. 2 times in the scene
AI at Datadog: Monitoring machines in the age of LLMs | Olivier Pomel, CEO of Datadog
- ▶ 35:39 Matt Turck You know, a part of the NVIDIA rise, but also Dell and, you know. 2 times in the scene
Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
- ▶ 15:18 Sharon Zhou Uh, but essentially you can think of that as, um, I think, uh, NVIDIA's NIMS server, Triton inference server also does that.
- ▶ 15:18 Sharon Zhou Uh, but essentially you can think of that as, um, I think, uh, NVIDIA's NIMS server, Triton inference server also does that.
- ▶ 17:47 Sharon Zhou I think there's a graph of this showing that a 100 in particular are pretty available.
- ▶ 17:58 Sharon Zhou Um, H 100 still kind of.
- ▶ 18:23 Sharon Zhou Um, well, today we did announce something with, uh, NVIDIA. 2 times in the scene
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 11:34 Tomasz Tunguz Kind of like a REIT, a real estate investment trust, and that you'll, you'll produce really good profits, but you need a lot of debt, and you need special relationships with NVIDIA and the other GPU vendors to compete.
The $9B Startup Going After Snowflake and Databricks | Renen Hallak, CEO of VAST Data
- ▶ 33:28 Matt Turck And you, uh, partner with NVIDIA as well, right? 6 times in the scene
- ▶ 33:53 Renen Hallak We're leveraging their GPUs to accelerate our database abilities with Rapids, and so many, many different touch points, both in engineering and on the go-to-market side with NVIDIA.
AI at Roblox: Revolutionizing Game Creation | Morgan McGuire, Chief Scientist of Roblox
- ▶ 46:48 Morgan McGuire Nvidia, Unity, Activision.
Hollywood Producers FREAK OUT over AI | Cris Valenzuela, CEO of Runway
- ▶ 13:32 Cris Valenzuela So, um, there's one engineer, for example, um, he fine-tuned a version of stable efficient with, like, his own Forty-Night-y incredible work, and he figured out things that no researcher had figured out at the time.
How Nomic AI Is Driving The Open Source Revolution
- ▶ 0:36 Brandon Duderstadt It's not just NVIDIA GPUs.
- ▶ 12:19 Brandon Duderstadt So it's not just NVIDIA GPUs.
Adobe’s AI Revolution: Scott Belsky on Firefly, Photoshop & the Future of Creativity
- ▶ 0:09 Matt Turck When people think about huge public companies making big bets on AI, people tend to think of NVIDIA, maybe Microsoft, but I think that the world is very quickly waking up to the fact that Adobe has been doing incredible work at the…
- ▶ 15:03 Scott Belsky So for the example of LLMs, I mean, we have a great relationship with Microsoft and with OpenAI and with NVIDIA and with Google, and we have a number of partnerships leveraging some of their stuff.
Custom LLMs at Scale: Lamini CEO Sharon Zhou’s Playbook for Enterprise AI
- ▶ 12:37 Sharon Zhou Um, we are, you know, compute agnostic, um, so we actually can run on both, um, we can run on different VPCs, on NVIDIA chips, and actually one special thing is we, we are the only folks who can actually run, um, your language models on…
- ▶ 33:09 Sharon Zhou We haven't been running on NVIDIA chips. 3 times in the scene
Perplexity AI CEO on Dethroning Google & Redefining Search
- ▶ 36:34 Aravind Srinivas Uh, we'll end up in a situation like how, um, you know, like say, NVIDIA, for example, controls the GPU computer and like, nobody can tell them what, what, you know, you got a price H-one or something.
- ▶ 36:34 Aravind Srinivas Uh, we'll end up in a situation like how, um, you know, like say, NVIDIA, for example, controls the GPU computer and like, nobody can tell them what, what, you know, you got a price H-one or something.
- ▶ 47:47 unnamed speaker Um, it seems like NVIDIA and Microsoft selected CoreWeave, and partly NVIDIA likes CoreWeave because they don't make any of their own silicon, you know, so that we, they can, tomorrow you could get 10,000 GPUs running instantly. 4 times in the scene
Building Human-Level AI Agents: Imbue CEO Kanjun Qiu on the Road to General Intelligence
- ▶ 28:34 Kanjun Qiu And then NVIDIA is also part of the round because we have a very large GPU cluster of 10,000 H 100, and it's very helpful to have NVIDIA as part of that. 2 times in the scene
- ▶ 28:34 Kanjun Qiu And then NVIDIA is also part of the round because we have a very large GPU cluster of 10,000 H 100, and it's very helpful to have NVIDIA as part of that.
- ▶ 33:02 Kanjun Qiu Bartosz on our team, uh, you know, there was a broken NVIDIA.
Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs
- ▶ 2:05 Ori Goshen And then, uh, we've, we've, uh, kind of assembled a few more financial investors that joined around and, um, uh, also, um, a couple of strategic investors, um, particularly Google and NVIDIA. 2 times in the scene
From Xbox to Databricks: Carly Taylor’s Rebel Path in Data Science & Gaming AI
- ▶ 6:10 Carly Taylor Um, Nvidia is huge in the space, right? 4 times in the scene
Reinventing Search with AI: Richard Socher on Building You.com & the Future of Google
- ▶ 20:28 Richard Socher Um, there's just beyond a certain size that started running on a single GPU, but that will also change in the future as Nvidia, um, you know, builds, uh, larger and larger
Build and Deploy AI with Pytorch | Lightning AI Founder & CEO, William Falcon
- ▶ 6:42 William Falcon Apex had just come out from Nvidia. 2 times in the scene
- ▶ 8:04 William Falcon There's, uh, NVIDIA just announced all these Nemo services.
A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
- ▶ 1:06 Gideon Mann And one of the things that, you know, people usually talk about the availability of GPUs and of cheap compute, uh, NVIDIA, um, is, is rightly credited for kind of bringing this forward.
Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- ▶ 23:16 Wes McKinney So, you know, the folks from Nvidia, um, have a large team building the, the rapids project, which is, uh, uh, CUDA based, uh, uh, computing, uh, against arrow data. 3 times in the scene
CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
- ▶ 0:57 Dillon Erb Um, NVIDIA's the biggest manufacturer today.
- ▶ 4:22 Dillon Erb So, all the big guys, Nvidia, ah, Intel, ah, AMD, Graphcore, Cerebros, there's, there are hundreds of these that are working on new hardware, and when you think about new hardware, that, there's, there's a big shift in how we think about,…
- ▶ 12:11 Dillon Erb I think, you know, we will do some part of it, but there will be a lot of companies working to, you know, at the kind of runtime of machine learning model, which is how do you get it to run not just on NVIDIA GPUs or whatever, and a…
A Fresh Approach to Technical Computing // Viral Shah & Stefan Karpinski, Julia Computing
- ▶ 12:14 Viral Shah Apart from CUDA and C, the toolkits that NVIDIA puts out, Julia is the only other, you know, widely used language that has native CUDA code gen.
AI, Big Data, and Data Governance // Stan Christiaens, Collibra (FirstMark's Data Driven)
- ▶ 5:58 Stan Christiaens If you, um, if you've seen it, for example, Nvidia has increased its stock price by four times over the last 12 months, because everything is GPU-driven right now.
The Power of GPU Analytics // Todd Mostak, MapD (FirstMark's Data Driven)
- ▶ 2:00 Todd Mostak Later, uh, NVIDIA developed CUDA, which was a general purpose programming language for GPUs, and people started porting all sorts of algorithms to GPUs.
- ▶ 2:40 Todd Mostak There's a bit of a marketing battle between Intel and NVIDIA in this matter.
The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
- ▶ 10:03 Christopher Nguyen It doesn't make sense for them to build a whole bunch of Nvidia boxes.
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 26:46 Peter Fenton They, um, they have, they have GPUs from NVIDIA that are only two years old, 2 times in the scene
David Luan, Dextro // Real-World Video Understanding (FirstMark / Data Driven NYC)
- ▶ 17:43 David Luan But it's all of our, all of our, uh, everything we've built in-house in CUDA for NVIDIA GPUs.
Yann Lecun, Facebook // Artificial Intelligence // Data Driven #32 (Hosted by FirstMark Capital)
- ▶ 47:42 Yann LeCun Uh, a recent one was, um, kind of a webinar I gave for, um, one of the NVIDIA developer, uh, uh, conference, and, uh, you can, you can just, uh,
Matthew Zeiler, Clarifai // Data Driven #31 // Nov 2014 (Hosted by FirstMark Capital)
- ▶ 12:23 Matthew Zeiler And we got some, uh, some great investors like Google, Qualcomm, and NVIDIA who, uh, help power this, uh, technology for us.
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