Nvidia, every mention

13 scenes (2019), the whole family · ← back to Nvidia

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every year 2019 anyone Dylan Patel 93Anjney Midha 21David George 20Gavin Baker 16Erik Torenberg 15Marc Andreessen 14Guido Appenzeller 14Jeff Schmidt 13Dwarkesh Patel 12Martin Casado 10

Verbatim, from the transcripts: the passages where Nvidia comes up

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a16z Podcast | From Research to Startup, There and Back Again Jan 2, 2019 · 1 mention

  • ▶ 6:41 Sonal Chokshi And the reason I think about this is because I think about what happened with GPUs and NVIDIA and how it then became the enabling for, like, artificial intelligence.

a16z Podcast | Technological Trends, Capital, and Internet 'Disruption' Jan 2, 2019 · 1 mention

  • ▶ 53:01 Chris Dixon So like, just like the, the, that market is one where the, the gamers have been endlessly hungry for more polygons, and, and that created this kind of, you know, Nvidia and this whole industry around it.

a16z Podcast | High Growth in Companies (and Tech) Jan 2, 2019 · 2 mentions

  • ▶ 24:09 Elad Gil So if you look at NVIDIA and NVIDIA, GPUs are really the primary basis
  • ▶ 29:01 Elad Gil Yeah, and I think every major technology wave also had a major silicon company created in it, and right now to some extent that's Nvidia for not only graphics processing but also for machine learning purposes.

a16z Podcast | The Self-Flying Camera Jan 2, 2019 · 2 mentions

  • ▶ 7:49 Adam Bry We're using the NVIDIA TX-one, which is basically like a deep learning supercomputer that uses the same GPU design, the same architecture that's found in their cloud compute systems, and all of that is necessary to run the software and… 2 times in the scene

a16z Podcast | AI, from 'Toy' Problems to Practical Application Jan 2, 2019 · 1 mention

  • ▶ 1:25 Scott Clark And now they have the infrastructure readily available with things like AWS and all these new Nvidia chips.

a16z Podcast | The Cloud Atlas to Real Quantum Computing Jan 2, 2019 · 2 mentions

  • ▶ 2:00 Sonal Chokshi By GPUs, we mean graphical processing units like the kind that NVIDIA makes and other companies make that were originally used for the gaming industry, but they're now being used widely deployed in machine learning and lots of.
  • ▶ 3:13 Jeff Cordova Uh, CUDA is, uh, NVIDIA's, uh, language for doing parallel processing on the GPU.

a16z Podcast | Quantum Computing, Now and Next Jan 2, 2019 · 1 mention

  • ▶ 8:01 Chad Rigetti NVIDIA has built an incredible business around GPUs, which, which really kind of owns a parallelization of, of tasks across a, a account, a small number of processors, hundreds or thousands of processors in a single die, and then

a16z Podcast | Apple and the Case of Invisible But Audible Innovation Jan 2, 2019 · 1 mention

  • ▶ 30:50 Kyle Russell This requires collaboration between Oculus and the chip makers like NVIDIA and Microsoft, and Apple can do all of this on their own.

a16z Podcast | Software Programs the World Jan 2, 2019 · 2 mentions

  • ▶ 8:01 Marc Andreessen One of the really interesting hardware platforms that's emerging right now is, um, NVIDIA, which is a very well-established public chip company, been very successful to your point, doing graphics chips for a very long time, um, has become… 2 times in the scene

a16z Podcast | When Humanity Meets A.I. Jan 2, 2019 · 2 mentions

  • ▶ 2:51 Sonal Chokshi Is it like what's happening with Nvidia's chips right now or something different? 2 times in the scene

a16z Podcast | Innovation vs. Invention at Google I/O Jan 2, 2019 · 1 mention

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