All guides
For operators planning the cost, reliability and oversight of larger AI workloads.
- How Should Teams Model Peak Demand and Concurrency?A practical method for separating peak demand, concurrency, and achieved throughput, including Microsoft’s warning that per-call latency variation may keep throughput below quota.
- What Capacity Is Needed for a Variable AI Workload?How to size a variable Azure OpenAI workload by checking TPM throughput, per-call response time, deployment rate limits, and remaining request and token allowances.
- What Signals Should Drive Capacity Planning for Production AI?Production AI capacity should be sized around observed throughput, per-call latency, and completion times, because Azure OpenAI throughput can remain below quota when call latency varies.
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