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Mark
@MRRydon
Cofounder @AethirCloud | Building global GPU infrastructure for AI | Here for AI, GPUs, inference economics, power and the money behind the compute
Joined December 2016
2.3K Following    335.6K Followers
Anthropic spent $5.0B on short-term compute in Q3 alone. That's the line in the new S-1 I keep coming back to. Anthropic books most of its compute on multi-year deals, 12 to 18 months before it's available. When demand runs past that plan, it buys short-term capacity, and that capacity costs significantly more. So in the quarter revenue hit $17.0B, demand ran far enough past what they'd booked that they paid up for $5.0B of extra compute. Along with a $2.0B non-cash charge, that's what swung them to a $567M operating loss after a $974M operating profit in Q2. And it's going to keep happening. They expect to use more short-term compute in the near term. The bears will call this a margin problem. To me it's the clearest demand signal in the whole filing. It also tells you where the next dollar goes. The biggest buyers of compute are already running past their long-term plans, and every provider with GPUs live today is part of the answer
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