The Information Machine
Following·Day 7·first covered 8 Sep 2026·3 sources

OpenAI Unveils Jalapeño, Its First Custom Inference Chip

The gist

Building its own inference chip gives OpenAI a potential lever on compute cost and throughput independent of third-party suppliers. The efficiency and usage disclosures show the scale at which these hardware and software choices operate.

The full picture

OpenAI announced Jalapeño, its first in-house custom inference chip, which it says delivered 1.5 to 1.9 times as much peak token throughput per watt and 1.7 to 3.6 times lower end-to-end latency than commercial systems in InferenceX tests across three public models. Deployment is planned by year-end alongside accelerators from NVIDIA, AMD, and other partners. OpenAI also disclosed that GPT-5.6 Sol reduced its end-to-end serving costs by 20% and increased token-generation efficiency by more than 15%. On the scale side, OpenAI's products reach more than one billion weekly active users and 2.5 million businesses, and its research organization uses 3.1 agent-workdays of effort for every workday of human labor. Separately, OpenAI and Samsung announced a deepened collaboration covering next-generation chip research and production, alongside one of Samsung's largest ChatGPT Enterprise deployments.

How it developed
10 September 2026

OpenAI and Samsung announce deepened chip collaboration and large ChatGPT Enterprise deployment

9 September 2026

OpenAI CFO Sarah Friar discloses usage tiers: Pro subscribers average 11x daily activity of free users

8 September 2026

OpenAI publishes case study on GPT-5.6 Sol running quantum computing experiments at MIT

Sources
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