CoreWeave: AI infrastructure is one giant computer
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CoreWeave’s Chen Goldberg argues that an AI cluster should be treated as one integrated supercomputer rather than separate components like GPUs. She points to Kubernetes deployments needing an evolving resource model that accounts for compute, networking, storage, and cooling working together. As a result, cloud thinking shifts toward supporting AI agents and managing infrastructure as a single coordinated system.
Why it matters
CoreWeave’s Chen Goldberg explains that a modern AI cluster is no longer “a pile of GPUs,” but “one enormous supercomputer,” where compute, networking, storage, cooling, and software must work like one machine. She also highlights how agents break old cloud assumptions and why even Kubernetes deployments need an evolving resource model.
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