Model Serving · Software component

Serving Parameter Tuner

Software componentModel ServingModelsarc:ServingParameterTuner

A runtime optimisation component that adjusts serving parameters such as GPU count, batch size and memory allocation from observed production workload patterns.

Responsibility. Adapts inference serving configuration to live traffic characteristics rather than pre-deployment benchmarks alone.

Also known as: Runtime refinement

Direct neighbourhood (hover for relationship types)

Relationships

writes dependency

Inference Serving Configuration abstract Ch4.5

monitors assurance

LLM Inference Service Ch4.5

Classification

Technologies: NVIDIA NIM
Quality attributes: Performance efficiency (ISO/IEC 25010)Flexibility (ISO/IEC 25010)

Sources

Ch4.5: T. Nguyen, "NVIDIA NIM and Triton Inference Server," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.5. ISBN: 9798244538229.