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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

Next step

Want This Applied to Your Workload?

Frameworks are a starting point. A benchmark of your actual infrastructure is the answer.