⚙️
MLOps

Deploying inference models with Docker & GPU

0views0comments

Packaging model serving into containers and managing GPU resources across multiple replicas.

Overview

This article shows how to package an open-weight model (Llama 3, Mistral) into a container for inference serving.

Packaging the container

Base image ships with a CUDA runtime, with environment variables selecting the model and inference parameters.

Managing GPU resources

Sharing a GPU across multiple replicas requires careful memory-limit configuration to avoid out-of-memory errors.

Tags

mlopsgpu

AI

Back

Category

MLOps · AI

Deploying inference models with Docker & GPU | WIKI IT