From Forklift to First Token: How CoreWeave Makes Rack-Scale AI Just Work

Next-generation AI workloads demand compute density that single-node architectures can no longer deliver. Enter rack-scale infrastructure: tightly coupled systems like the NVIDIA GB300 NVL72 that act as single, massive supercomputers. But while rack-scale architecture offers unmatched interconnect speeds and performance, it introduces unprecedented physical complexity, from complex liquid cooling loops and power shelves to dense NVLink meshes and synchronized firmware dependencies. Deploying and maintaining these 100kW+ supercomputers traditionally requires months of manual bring-up, armies of specialized engineers, and constant debugging. In this session, we break down why traditional cloud infrastructure breaks at rack-scale and how CoreWeave abstracts away physical hardware friction. Discover how software-defined rack automation transforms complex, multi-component hardware into a reliable, instant-on cloud resource, giving you maximum GPU utilization and faster time-to-train or serve without the operational headaches.