The first StrictlyVC of 2026 hits SF on April 30. Tickets are going fast. Register now.
Founder Summit ticket savings of up to $190 end June 26. Join 1,000+ founders and VCs for all-day bootcamp. REGISTER NOW.
TechCrunch Desktop Logo TechCrunch Mobile Logo Latest Startups Venture Apple Security AI Apps Disrupt 2026 Events Podcasts Newsletters Search Submit Site Search Toggle Mega Menu Toggle Topics Latest
OpenAI unveils its first custom chip, built by Broadcom Russell Brandom 7:54 AM PDT · June 24, 2026 On Wednesday, OpenAI unveiled its first custom-built inference processor, designed and manufactured in collaboration with Broadcom. Named Jalapeño, the new processor was designed specifically for the unique needs of OpenAI’s inference systems. OpenAI’s own AI models assisted in the development of the chip, the company said.
While the chip is still being tested, OpenAI says early results show significantly better performance-per-watt than current state-of-the-art alternatives.
The partnership was officially announced in October , but OpenAI’s chip plans have long been rumored as a way to reduce the company’s dependence on Nvidia’s GPUs. Google and Amazon have both built custom chips to serve a similar purpose, often called “AI accelerators” — silicon designed specifically to speed up machine learning workloads.
OpenAI president Greg Brockman explained the company’s approach to chip development on its in-house podcast , shortly after the Broadcom partnership was announced.
“We have a deep understanding of the workload,” Brockman said in the episode. “We’ve really been looking for specific workloads that are underserved, [and asking] how can we build something that will be able to accelerate what’s possible?”
Jalapeño is specifically designed for inference, the process of running pre-built AI models in response to user commands. In the announcement, OpenAI emphasized the chip’s low operating cost when running real-time coding models. It’s likely that more performance-intensive tasks like pre-training will still rely on Nvidia hardware, but even small reductions in inference costs could do a lot to improve the company’s bottom line.
Optimizing that inference system may prove to be a crucial factor in the economics of AI going forward — and it’s likely to take place at every level of the stack. OpenAI is already building agentic products like Codex and the models that power them, as well as data centers to run those models. Moving into purpose-built chips lets the company go even further in that process, as the company explained in its announcement.
“OpenAI is not only developing frontier models or building products on top of them; it is designing the infrastructure underneath them: chip architecture, kernels, memory systems, networking, scheduling, deployment systems, and product experience,” the company wrote. “Because OpenAI operates across the stack, each layer can be optimized around the same goal: making its models faster, more reliable, and more affordable for users.”
When you purchase through links in our articles, we may earn a small commission . This doesn’t affect our editorial independence.
Russell Brandom AI Editor
November 4 Boston Last chance to save up to $190 on TechCrunch Founder Summit. Join 1,000+ founders and VCs at all stages for real-world scaling insights and connections that move the needle. Savings end June 26, 11:59 p.m. PT .
Most Popular OpenAI unveils its first custom chip, built by Broadcom Russell Brandom
___________________________________________________________________________________________________________
-- --
PLEASE LIKE IF YOU FOUND THIS HELPFUL TO SUPPORT OUR FORUM.
