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General-purpose GPU compute carries overhead that purpose-built accelerators are built to eliminate.
For AI inference, where the compute profile is more predictable than training and per-operation cost is the variable that compounds at scale, that difference eventually becomes a structural economic one.
OpenAI is now saying its custom chip, developed with Broadcom, delivers on that premise. The Investing Club's Homestretch framed OpenAI's characterization of the chip as a winner as a live question for Nvidia.
The implication is direct: inference workloads that run on OpenAI's own silicon do not run on Nvidia hardware.
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