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Capacity Planning for Production Inference
How to size reserved capacity to the predictable base of a workload, handle variability, and avoid paying for idle GPUs.
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Outline
- Baseline vs. peak: what to commit and what to leave flexible
- Utilization as the hidden cost driver
- Geographic distribution and latency budgets
- Reviewing capacity as the workload grows