OpenAI announced its first custom inference chip Jalapeño, designed to deliver higher throughput and responsive Codex coding agent sessions.
Key Takeaways
- ✓Tailored for frontier inference workloads, cutting TTFT and boosting concurrent long-context sessions
- ✓Directly powers responsive Codex coding sessions and autonomous agent refactoring loops
- ✓Deployment across OpenAI enterprise compute infrastructure scheduled by year-end