# OpenAI与Broadcom联合发布定制芯片Jalapeño，专为大语言模型推理设计

- 来源：Ars Technica：AI（RSS）
- 作者：Samuel Axon
- 发布时间：2026-06-25 06:28
- AIHOT 分数：54
- AIHOT 链接：https://aihot.virxact.com/items/cmqso8sj304u9slfu7zuacog0
- 原文链接：https://arstechnica.com/gadgets/2026/06/openai-and-broadcom-announce-chip-designed-for-llm-inference-at-scale

## AI 摘要

OpenAI与Broadcom宣布推出名为Jalapeño的定制ASIC芯片，专为数据中心大规模大语言模型推理设计。该芯片基于OpenAI研究人员提供的洞察及未来模型路线图，研发耗时9个月。早期测试显示其能效显著优于当前最先进方案，但完整性能数据尚未公布，详细技术报告将在未来数月内发布。该项目旨在通过垂直整合降低对Nvidia等外部供应商的依赖，首批芯片计划于今年年底部署到数据中心。

## 正文

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OpenAI, the company behind ChatGPT and Codex and the models those tools utilize, and Broadcom, an established silicon supplier, have announced a new chip called Jalapeño, designed specifically for large language model inference in data centers.

The chip is intended to be deployed at large data centers, both companies claim this is just the first generation in a long-term project that will see chips refined over time.

Broadcom says that this ASIC (Application-Specific Integrated Circuit) was designed from scratch for LLM inference, based on “detailed insights” from the company’s conversations with researchers at OpenAI, and that the chip’s development was informed by OpenAI’s own roadmap for future models and products. The design and production of the chip took nine months.

The promise is that this chip is more specialized for the current needs of LLMs than those that inference systems currently run on in existing data centers.

OpenAI claims that “early testing shows that Jalapeño will deliver performance per watt substantially better than current state-of-the-art,” but notes that it is not done measuring performance, and that a “detailed technical report will be presented in the coming months.”

Until then, we don’t have many details to go on.

The company, which is known for its ChatGPT and Codex services and harnesses, hopes to ultimately own the full stack behind its models and products, reducing dependence on outside companies like Nvidia and ostensibly providing better performance or efficiency thanks to vertical integration.

More generally, OpenAI and its competitors are interested in custom silicon because it’s another way to potentially squeeze out more capacity amid a global compute crunch, as competing companies scramble for limited data center capacity.

While Broadcom was already a successful chipmaker for customers building out compute infrastructure, it has seen substantial movement recently as it has built new business around providing custom chips to hyperscalers and the teams building frontier models during the current AI boom.

Both companies claim Jalapeño chips will be deployed in data centers by the end of this year.

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