OpenAI Discusses Compute and Data Center Expansion
mattturck · x · 2026-07-17
This interview centers on OpenAI's compute expansion, covering topics like Stargate, Jalapeño, in-house chips, data center financing, and what "industrial compute" means within OpenAI. The core argument is that AI data centers are becoming a new type of industrial infrastructure. The real bottleneck isn't just GPUs, but the power grid, substations, transmission, liquid cooling, gas turbines, supply chains, and construction capacity. OpenAI believes the risk of "not building fast enough" far outweighs the risk of "overbuilding." The interview also discusses: - Inference potentially becoming the primary source of compute consumption - How OpenAI chooses data center locations and compute mixes - Why they need to design their own AI chips rapidly - Networking and interconnect challenges at a scale of 100,000 GPUs - AI is now even participating in the design of AI chips
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