Nvidia, every mention
16 scenes (2023), the whole family · ← back to Nvidia
tap a year for its mentions
every year 2023 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
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.