Anthropic IPO Roadshow Reveals Multi-Chip Training and Serving Strategy
Anthropic's IPO roadshow video, featuring co-founder Tom Brown, disclosed details of its compute approach: training and serving Claude across AWS Trainium, Google TPUs, NVIDIA GPUs, and AMD GPUs. The company highlighted an early unconventional bet on a multi-chip strategy, which required tailored software and inference stacks for each chip family. This is the first time specifics of this strategy have been publicly detailed.
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Simon Willison
Anthropic's IPO roadshow video Anthropic kicked off their IPO roadshow yesterday, and their roadshow video has some previously unreleased information about how their business works. The section on "Approach to compute" with co-founder Tom Brown is particularly interesting, describing how Anthropic train and serve Claude across AWS Trainium, Google TPUs, NVIDIA GPUs, and AMD GPUs. I'm not sure why there's no official video transcript, but here's one that I extracted using MacWhisper. Highlights below: We train and serve Claude now across all four major chip families. That's only possible because early on we made an unconventional bet on a multi-chip strategy. At the time, many people thought that running AI models on different chips wasn't worth the effort. Each chip needs its own tailored software stack and inference stack, which is expensive and difficult to build. We've now been doing it for years, and we've gotten incredibly good at it. [...] As an example, this year, we started wor
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