
OpenAI President Greg Brockman on new chip: This is a real performance improvement
- Length
- 4 min
- Language
- English
- Text from
- the video's captions
- Transcribed
- 13 October 2026
Summary
In a CNBC exclusive, OpenAI President and co-founder Greg Brockman and Broadcom CEO Hock Tan discuss their jointly developed AI chip, which early testing shows delivers a substantial improvement in performance per watt, with gigawatt-scale deployment targeted to begin later this year. Brockman says the chip reduces the cost per token at a fixed level of intelligence and that a detailed technical report will follow in the coming months. Tan says the project validates Broadcom's business model that frontier model developers will build their own custom silicon.
Key points
- Greg Brockman says the new chip delivers a real performance improvement in performance per watt and performance per dollar.
- OpenAI plans to publish a detailed technical report with benchmark numbers over the next couple of months.
- The chip was designed from scratch for LLM inference and went from design to tape out in nine months.
- Brockman argues the chip carves out its own niche in a very big market, designed around knowledge of LLM inference workloads across the industry.
- Hock Tan says the project validates Broadcom's business model that every frontier model developer will eventually build its own custom silicon.
- The accelerator, called the Jalapeno, was built on the fundamentals of OpenAI's LLM and ChatGPT, spanning the full stack from model down to the transistor.
- Early testing shows substantial improvement in performance per watt, with gigawatt-scale deployment targeted to begin later this year.
Questions it answers
00:00Chip performance goals
Does the new OpenAI and Broadcom chip reduce the cost per token at a fixed level of intelligence?
Brockman says it absolutely does, calling it a real performance improvement in performance per watt and performance per dollar, which will also let OpenAI serve more intelligent models at scale.
- Real improvement in performance per watt and per dollar
- Enables more intelligent models served more broadly at scale
01:00Upcoming technical report
When will technical benchmark numbers for the chip be released?
No numbers are given yet, but Brockman says a detailed technical report will be released over the next couple of months and initial numbers look very, very strong.
- Detailed technical report coming in the next couple of months
- Initial internal numbers are looking very strong
01:23Competition and differentiation
How does Brockman respond to claims the chip won't match competitors like Cerebras?
He says the market is very big and the chip was designed from scratch for LLM inference, going from design to tape out in nine months, carving out a unique niche based on knowledge of inference workloads across the industry.
- Designed from the ground up for LLM inference
- Design to tape out in nine months
- Targets workloads across the whole industry, not just OpenAI models
02:01Broadcom's business model
Has the aggressive nine-month schedule changed how Broadcom approaches custom AI silicon?
Tan says it has always been Broadcom's aspiration and validates its business model that every frontier model developer will eventually build its own custom silicon, combining OpenAI's model expertise with Broadcom's chip design team and IP.
- Validates Broadcom's custom silicon business model
- The accelerator, the Jalapeno, is built on OpenAI's LLM and ChatGPT
- Full stack from model down to the basic transistor
Notes
Overview
- CNBC exclusive interview with OpenAI President and co-founder Greg Brockman and Broadcom CEO Hock Tan following the announcement of their jointly developed AI chip.
- Early testing shows a substantial improvement in performance per watt, with gigawatt-scale deployment targeted to begin later this year.
Performance claims
- Brockman says the chip "absolutely does" decrease the cost of each token at a fixed level of intelligence.
- He describes it as a real performance improvement in performance per watt and performance per dollar.
- It also means OpenAI can serve much more intelligent models much more broadly at scale.
- Specific numbers are not yet public, but Brockman says a detailed technical report will come over the next couple of months and initial numbers from the team are looking "very, very strong."
Design and differentiation
- The chip was designed from the ground up for LLM inference, not adapted from existing hardware.
- It went from design to tape out in nine months, which Brockman calls blazing fast for the industry.
- It was designed with OpenAI's model, targeting knowledge of where LLM inference workloads are and where they are going, across the whole industry, not just OpenAI's models.
- Responding to a competitor's (Cerebras) skepticism, Brockman says the market is very big and the chip carves out its own unique niche.
Broadcom's perspective
- Hock Tan says the nine-month design-to-tape-out schedule has always been Broadcom's aspiration.
- He says the project validates Broadcom's business model: every frontier model developer will eventually design and build its own silicon because they can do it much better.
- The accelerator, named the Jalapeno, is built on the fundamentals of OpenAI's LLM and ChatGPT, spanning the full stack from the model through hardware and software down to the basic transistor.
Text from the video's own captions. Summary and notes written by AI from the transcript, so check anything important against the recording.
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