The a16z Show

Dylan Patel: GPT-5, NVIDIA, Intel, Meta, Apple

1682 snips
Aug 18, 2025
Dylan Patel, Founder & CEO of SemiAnalysis, dives into the highly competitive world of AI hardware and chips. He explains why merely mimicking NVIDIA won't suffice for challengers. The discussion touches on the potential of custom silicon from tech giants reshaping the landscape and the Economics of AI model launches driving a shift toward efficiency. Patel also highlights the rise of AI silicon startups amid geopolitical tensions and offers insights for leaders in big tech as they navigate this rapidly evolving industry.
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Sell TPUs And Open Software To Monetize Hardware

  • Google should consider selling TPUs externally and open more of its software to win market share.
  • Reorg cloud and TPU teams to support external sales and a broader TPU ecosystem.

Models And Hardware Co-Evolve, Causing Risk

  • Hardware designs often lock to prevailing model shapes, and model evolution shifts what hardware is optimal.
  • New accelerators risk mismatch because research adapts to existing dominant hardware (GPUs).

You Must Be ~5x Better To Beat NVIDIA

  • To beat NVIDIA, a newcomer must be ~5x better in efficiency because NVIDIA wins on supply chain and scaling.
  • Supply-chain and software advantages quickly erode marginal hardware gains.
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