Idle Speculation on GPU Capacity Management

Training large models today is tightly coupled to specific hardware. This makes moving workloads across systems or abstracting the hardware almost impossible without losing efficiency, and hence why you don’t tend to see a lot of uptake of the kind of cloud-like abstractions we see elsewhere.

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