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Provisioned Throughput OpenAI Deployment in Non-Production Environments
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Provisioned Throughput OpenAI Deployment in Non-Production Environments
Ariel Lichterman
CER:
Azure-AI-9910
Service Category
AI
Cloud Provider
Azure
Service Name
Azure Cognitive Services
Inefficiency Type
Overprovisioned Deployment Model
Explanation

PTU deployments guarantee dedicated throughput and low latency, but they also require paying for reserved capacity at all times. In non-production environments—such as dev, test, QA, or experimentation—usage patterns are typically sporadic and unpredictable. Deploying PTUs in these environments leads to consistent baseline spend without corresponding value. On-demand deployments scale usage cost with actual consumption, making them more cost-efficient for variable workloads.

Relevant Billing Model

Provisioned Throughput Units are billed at a fixed hourly rate regardless of utilization. They are optimized for steady, high-throughput workloads. Non-production environments with low or inconsistent usage pay for committed capacity they rarely consume, making PTUs significantly more expensive than the on-demand consumption model.

Detection
  • Review OpenAI deployments in non-production environments to determine whether PTUs are configured instead of on-demand
  • Assess utilization patterns to see if throughput demand fluctuates or remains low compared to the allocated PTUs
  • Confirm whether the environment requires dedicated capacity, or if on-demand latency and throughput are sufficient
  • Evaluate overall spend on PTU deployments relative to business value delivered in non-production settings
Remediation
  • Switch non-production OpenAI deployments from PTU to on-demand consumption pricing
  • Reserve PTUs only for production workloads with sustained, predictable throughput requirements
  • Establish governance standards to ensure deployment models match workload profiles across environments
  • Periodically review OpenAI usage patterns to validate that non-production capacity aligns with actual utilization
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