NVIDIA, every mention
10 scenes (2025), the whole family · ← back to NVIDIA
tap a year for its mentions
every year 2025 anyone Garry Tan 19Jensen Huang 15Stuart (Stu) 6Jared Friedman 6Elon Musk 5Ankit Gupta 3Francois Chaubard 2Diana Hu 2Pedro Franceschi 1Bob McGrew 1
Verbatim, from the transcripts: the passages where NVIDIA comes up
The Truth About The AI Bubble · Y Combinator
- ▶ 9:21 Jared Friedman When I talk to undergrads, this is like a common question that I get is like, oh, like I heard it's a big AI bubble because like, there's all this like crazy roundtripping going between Nvidia and open AI and like, is it, is it all fake? 6 times in the scene
Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI · Y Combinator
- ▶ 10:34 Ankit Gupta Were you using a cloud provider, or did you have a custom setup somewhere, or did you literally have racks in a room somewhere that you, you know, bought a bunch of NVIDIA GPUs and you were doing it?
- ▶ 25:17 Ankit Gupta Or if you guys are using TPU versus GPU, are these, you know, Google TPU versus NVIDIA GPU, do you actually have to think as an engineer differently about what it means to train on these two? 2 times in the scene
Aravind Srinivas: Perplexity's Race to Build Agentic Search · Y Combinator
- ▶ 31:51 unnamed speaker Uh, you know, with your recent partnership with NVIDIA to ship AI models across Europe, um, there's been talks about perplexity being installed on, um, all Samsung phones or pre-installed, um, and that could lift your valuation towards…
Fei-Fei Li: Spatial Intelligence is the Next Frontier in AI · Y Combinator
Elon Musk: Digital Superintelligence, Multiplanetary Life, How to Be Useful · Y Combinator
- ▶ 28:14 Elon Musk This is beginning of last year that we needed a 100,000 H 100 to be able to train coherently. 2 times in the scene
- ▶ 31:35 Elon Musk And so now we've got 150,000 H 150 K H 200 and 30 K GB 200, um, in the, in the Memphis, uh, training center. 2 times in the scene
- ▶ 31:35 Elon Musk And so now we've got 150,000 H 150 K H 200 and 30 K GB 200, um, in the, in the Memphis, uh, training center.
Andrej Karpathy: Software Is Changing (Again) · Y Combinator
- ▶ 8:52 Andrej Karpathy You can think about when you're using, when you're using NVIDIA GPUs and you're only doing the software and you're not doing the hardware, that's kind of like the fabless model.
Bob McGrew: AI Agents And The Path To AGI · Y Combinator
- ▶ 12:20 Bob McGrew But if you look, if you think about how NVIDIA has gone, Moore's law has continued.