Model Serving · Data artifact

Memory-Optimized Deployment Profile

Data artifactModel ServingModelsarc:MemoryOptimizedDeploymentProfile

A quantized model deployment profile that reduces memory footprint so a model fits smaller GPUs or edge devices, possibly at some cost in throughput and latency.

Responsibility. Configures an inference microservice to fit constrained GPU memory.

Also known as: Quantized profile, Edge profile

Variant of Model Deployment Profile abstract

When to choose. Choose when available GPU memory is insufficient for full-precision weights plus activations, such as smaller GPUs or edge devices.

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Relationships

alternative to variability

Sources

  1. 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.