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Hardware & Compute7 min read

OpenAI's Jalapeño Chip: AI-Driven Design in Under Two Years

On August 25, OpenAI unveiled its debut AI accelerator chip, Jalapeño. Capable of delivering up to 13.4 petaflops and linking to a massive 232 gigabytes of memory at 15.4 terabytes per second, Jalapeño promises significant performance improvements over Nvidia’s GB300. Benchmarks show it can reduce end-to-end latency by up to 3.6x while consuming less power. While these figures are promising, the…

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Key points

  • Jalapeño accelerates to 13.4 petaflops with 232 GB of memory
  • Reduces end-to-end latency by up to 3.6x compared to Nvidia's GB300
  • Design timeline was under 20 months, including RTL from first concept

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The story so far

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  1. OpenAI's Jalapeño Chip: AI-Driven Design in Under Two Yearsthis story
Full story from IEEE Spectrum AI · by Matthew S. SmithOpen source ↗

How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip

IEEE Spectrum AI · 14 September 2026

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This text was published by IEEE Spectrum AI and written by Matthew S. Smith. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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