End-to-End Latency belongs to inference engineering. Practitioners use it to meet latency and cost targets while keeping model quality and availability acceptable for users.
AI Glossary
End-to-End Latency
Coverage in development
End-to-End Latency belongs to inference engineering. Practitioners use it to meet latency and cost targets while keeping model quality and availability acceptable for users.
Definition
Plain English explanation
End-to-End Latency impacts speed, cost, and reliability of live AI APIs.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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