Why AI infrastructure is more than “more GPUs” (long-running agents)
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Opinion — commentary, not a factual news event.
CoreWeave EVP Chen Goldberg says long-running AI agents change infrastructure from scaling GPU count to making reliability, latency, security, orchestration, storage, networking, cooling, and power work together. The infrastructure must act “like one enormous computer.” As a result, teams need integrated management across those layers rather than treating GPUs as the only bottleneck.
Why it matters
CoreWeave EVP Chen Goldberg explains that long-running agents change what the infrastructure problem looks like. Reliability, latency, security, orchestration, storage, networking, cooling, and power all have to behave like one enormous computer.