OpenAI published first results for Jalapeño, its first custom inference chip: higher throughput and lower latency in one architecture, with more intelligence per watt. Product impact is faster ChatGPT replies, more responsive Codex sessions and agents, and more reliable access as demand grows. Deployment into OpenAI’s compute fleet is planned by year-end, with Gen 2 already in development and Gen 3 taking shape.

Key Takeaways

  • ✓The next coding-UX leap is silicon: a custom inference chip aimed at Codex and agent latency, not just a bigger model.
  • ✓Jalapeño claims higher throughput and lower latency together, rather than trading efficiency for speed.
  • ✓Year-end fleet deployment is the gate for whether ChatGPT Work and Codex stay snappy at peak demand.
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