Azure OpenAI Provisioned Throughput Underutilised
Provisioned throughput units are billed for the term whether or not tokens flow through them.
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Azure
Found, explained, handed over.
Findings with a dollar figure attached, idle, oversized, orphaned, unscheduled and undiscounted spend.
Detect
ZopNight checks this automatically across Azure, with read-only access to the account.
Explain
Every finding says exactly what to change: Reduce provisioned throughput on the OpenAI deployment. Where the saving can be proven it is priced; where it cannot, the finding says so.
Fix
The finding opens with the fix already written out, step by step, so it is one ticket, not an investigation.
- Applies to
- Azure OpenAI on Azure
- The fix, by hand
- Azure AI Foundry portal → your resource → Deployments → select the provisioned deployment.
- Review the PTU utilisation trend (Monitoring → Metrics → Provisioned-managed Utilisation V2).
- Reduce the deployment's PTU count toward sustained demand (target shown in the rec), or recreate it as a Standard (pay-as-you-go) deployment.
- If the PTU capacity is under a 1-month/1-year reservation, right-size at renewal rather than mid-term.
- Note: scaling PTU down releases capacity to the regional pool and may not be reclaimable. Confirm headroom first.
These are the steps the finding carries in the product.
- Category
- Rightsizing. Resources sized for headroom they never use. A smaller size runs the same workload for less.
- Where it appears
- The Savings tab of Recommendations, with every affected resource listed.
- Rule ID
RC-1395- Full reference
Related checks
See the oversized resources in your account.
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- $30M+annualised cloud spend under management
- 550K+resources tracked since launch
- 20-60%off the bill in the first month
- SOC 2Type II report, plus ISO 27001
Figures published on zop.dev.