Google TPU, every mention
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tap a year for its mentions
every year anyone Dylan Patel 6Andrew Feldman 6Nathan Benaich 2
Verbatim, from the transcripts: the passages where Google TPU comes up
Cerebras CEO: Why GPUs Can't Do Fast Inference
- ▶ 5:47 Andrew Feldman Um, there are a group of companies who, ah, the hyperscalers make, make some of their own parts, so the TPU. 4 times in the scene
- ▶ 1:01:52 Andrew Feldman Um, because, uh, Gemini is trained on TPUs. 2 times in the scene
Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
- ▶ 9:14 Dylan Patel And there's, so there's a lot of AI chip companies on the startup side, but then there's also, you know, Google's TPU, AMD, GPUs, uh, Amazon Tranium, uh, who are all really credible competitors.
- ▶ 10:36 Dylan Patel These support AMD GPUs almost as first-class citizens now, and VLLM is getting significant support for TPUs, for Tranium, and there will be other chips coming out from startups that also support VLLM slash SGLang. 2 times in the scene
- ▶ 34:21 Dylan Patel Like, and I think some of the things that they've done are reactions and competitive dynamics with AMD or Google's TPUs or whatever, right? 2 times in the scene
- ▶ 41:59 Dylan Patel If you look at the top 10 companies, like of the world, I think eight of them designed semiconductors right now, obviously like Google designed semiconductors, but it's like, oh wait, no, but their cost of search would be like 10 X higher…
State of AI 2024: Frontier Models, AI Geopolitics, Robotics | Nathan Benaich, Air Street Capital
- ▶ 43:56 Nathan Benaich And, um, if you sum all the papers that, um, use NVIDIA chips versus all the papers that use TPUs, FPGAs, ASICs, Apple, Huawei, the sum of all NVIDIA papers versus the sum of everybody else, the delta is like 11 times. 2 times in the scene