GPU Computing & NVIDIA Clusters — the CUDA Stack, the Memory Wall, MIG, and Kubernetes¶
Every chapter before this one treated the GPU as an opaque nvidia.com/gpu: 1 line in a resource request. That abstraction is correct for a data scientist and dangerously incomplete for the engineer who has to buy the cluster, keep it up, and explain to a VP why a $40,000 node is running a 7B model at 20 tokens/s when the spec sheet promises hundreds. …
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