OpenAI says Jalapeno beats Nvidia Blackwell on inference speed per watt
The first-party accelerator beat GB200 and GB300 systems in OpenAI-run tests, with deployment planned inside OpenAI's infrastructure by December.
By Ryan Merket · Published
Primary source: OpenAI on X
Why it matters
Jalapeno gives OpenAI a first-party route to lower inference costs and faster agent responses while adding bargaining power in a compute market still dominated by Nvidia.
OpenAI (@OpenAI) published the first measured results for Jalapeno on Tuesday, saying its custom inference chip delivered between 1.5 and 1.9 times more AI work per watt at peak throughput than Nvidia GB200 and GB300 systems across three public models. OpenAI also reported end-to-end latency between 1.7 and 3.6 times lower than the comparison systems.