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Statement

Inference AI Infra in the World of Test-Time Compute

Y Combinator
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  • Far greater compute resources will be required at inference time to support emerging scaling trends in AI applications.
  • The usage of APIs for running complex reasoning models is projected to increase by a factor of 10 to 100.
  • Infrastructure costs are expected to become a significant challenge if the frequency of complex reasoning model execution rises 10-fold to 100-fold.
  • The technical stack requires rebuilding at the inference layer to improve efficiency and reduce costs for GPU workloads.
  • Market opportunities exist for solutions that optimize GPU costs and enable application scaling without excessive financial drain.
  • Applications focusing on these infrastructure stack rebuilds are being sought for consideration by the Y Combinator team.