GoKawiilOpenAI's Richard Ho explains Jalapeño inference chip in Hot Chips interview
OpenAI's VP of Hardware, Richard Ho, spoke with Tom's Hardware following the August 2026 Hot Chips reveal of the company's Jalapeño inference ASIC. Ho said the chip's development leaned heavily on AI tools to compress the design timeline, and that efficiency, not raw performance, was the primary driver behind building custom silicon.
GoKawiil's interpretation of the reporting above, not reported fact.
Ho's comments frame OpenAI's chip strategy around power and compute constraints rather than pure speed gains, suggesting the company sees electricity availability as its binding limit on scaling AI services. His focus on inference efficiency over training also indicates OpenAI views user-facing costs, not model training, as the more pressing economic bottleneck to solve with custom hardware.
- OpenAI unveiled its Jalapeño inference ASIC at Hot Chips in August 2026.
- VP of Hardware Richard Ho says efficiency, not performance, was the main design driver.
- OpenAI reportedly used AI tools extensively to speed up the chip's design process.
Source: tomshardware.com — Jake Roach, 2026-09-28
Published there as: “OpenAI Jalapeño design interview transcript”
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