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Excessive Retries for Large Inference Outputs
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Excessive Retries for Large Inference Outputs
CER:
GCP-AI-9101
Service Category
AI
Cloud Provider
GCP
Service Name
GCP Vertex AI
Inefficiency Type
Excessive Retry-Induced Token Consumption
Explanation

Generative workloads that produce long outputs—such as detailed summaries, document rewrites, or multi-paragraph chat completions—require extended model runtime.

Relevant Billing Model

Vertex AI generative models are billed per input and output token. Retries—especially those triggered by timeouts or long model latencies—cause repeated inference calls and duplicate token charges. This increases costs without delivering additional value.

Detection
  • Identify workloads generating long responses that show repeated or duplicate inference requests
  • Review application logs for timeout-related retries or fallback invocations
  • Examine client or API metrics for elevated retry counts on Vertex AI endpoints
  • Assess whether output size consistently exceeds client timeout thresholds
  • Verify whether streaming is available but unused for workloads producing large outputs
Remediation
Relevant Documentation
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