Pattern
Capacity planning patterns for AI workloads
Provision AI capacity — API rate limits, reserved capacity, infrastructure for self-hosted models, GPU allocations — in ways that handle realistic demand variability without over-provisioning waste or under-provisioning failures.
Classification — Patterns for provisioning AI capacity under demand uncertainty.
Full entry
The complete treatment — problem, how it works, when to use it, sources, and examples — lives in the volume below.
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