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Models

OpenAI claims custom silicon outperforms Nvidia hardware in internal performance tests

OpenAI has revealed plans to deploy its own custom-designed chips to support its large language models later this year. Internal testing suggests these processors can exceed the performance of industry-standard Nvidia hardware. The transition aims to optimise the company's infrastructure for its specific generative AI workloads.

Why it matters

Enterprise teams should note the trend towards hardware-software co-optimisation for improving inference speed and reducing costs. This diversification of the hardware layer could eventually lead to more competitive pricing and better availability for high-performance compute resources.

Key points

  • OpenAI developed custom silicon to reduce reliance on third-party GPU providers.
  • Internal benchmarks indicate performance gains over current Nvidia processors for specific tasks.
  • The company expects to begin using the chips in its data centres by late 2024.

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