The gist: OpenAI and Broadcom have introduced Jalapeño, a custom chip for LLM inference designed to improve performance and efficiency in production deployment of language models.
OpenAI and Broadcom have jointly developed Jalapeño, a chip specifically optimized for the inference of Large Language Models. The project aims to improve performance and energy efficiency in scaling AI systems.
OpenAI and Broadcom have jointly developed a specially optimized inference chip. The Jalapeño project is designed to address the requirements of production deployment of Large Language Models – particularly requirements for throughput, latency, and energy consumption in data centers.
Custom chips for AI inference reduce the need for generalized GPU hardware depending on the workload. For CTOs, this represents an opportunity to reduce operating costs and power consumption of large language model infrastructures while increasing scalability.
The collaboration between OpenAI and Broadcom follows the industry trend of providers of high-frequency AI workloads investing in specialized hardware. This involves decisions regarding hardware architecture, vendor lock-in, and long-term availability of such chips – factors that should be considered when evaluating such systems.
Source: openai.com · Published June 24, 2026
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