powerOCTOBER 24, 2026 • 14:30 CET
MW
MegaWatt Intelligence Desk
Executive Briefing (TL;DR)
- On 25 August, OpenAI fully unveiled Jalapeño, the company’s debut AI accelerator chip
- Jalapeño delivers up to 13.4 petaflops of 4-bit compute and accesses 232 gigabytes of the most advanced memory available, linking to it at a blazing 15.4 terabytes per second
- Benchmarks cited by OpenAI show that Jalapeño can reduce end-to-end latency (the time between prompt to last token) by up to 3.6 times when compared to Nvidia’s GB300—a chip the company currently relies on—and do so while consuming less
How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip
Original media associated with the source publication: How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip.
Credit: IEEE Spectrum Computing RSS Feed — verify reuse rights at the original source
Media rights belong to the original publisher; see source link for reuse terms.
On 25 August, OpenAI fully unveiled Jalapeño, the company’s debut AI accelerator chip. Jalapeño delivers up to 13.4 petaflops of 4-bit compute and accesses 232 gigabytes of the most advanced memory available, linking to it at a blazing 15.4 terabytes per second. Benchmarks cited by OpenAI show that Jalapeño can reduce end-to-end latency (the time between prompt to last token) by up to 3.6 times when compared to Nvidia’s GB300—a chip the company currently relies on—and do so while consuming less
Technical Photo Gallery (Exclusive Coverage)
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Original media associated with the source publication: How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip.Attribution: IEEE Spectrum Computing RSS Feed — verify reuse rights at the original source
IEEE Spectrum Computing RSS FeedIEEE Spectrum Computing RSS Feed — verify reuse rights at the original source
