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What next for the compute crunch?

2 days ago
  • AI compute demand is exploding, with GitHub commits up ~14x annualized, indicating massive inference growth.
  • AI companies are compute-starved, leading to usage limits, outages, and a domino effect as users switch between services.
  • Supply constraints include delayed GB200 rollout due to liquid cooling challenges, labor shortages, and geopolitical tensions.
  • DRAM fabrication is a hard constraint, though innovations like TurboQuant provide temporary relief.
  • The next 18-24 months will see persistent compute shortages, likely forcing price increases despite market share concerns.
  • Users may become less price sensitive as models improve, and eventually supply will catch up, but short-term pain is expected.