Run vLLM with GPU acceleration on Windows using Docker Model Runner and WSL2. Fast AI inference is here.

Docker offers insights into container technology, microservices architecture, and application deployment, providing documentation and best practices for building, deploying, and managing containerized applications. By exploring Docker's curated content, developers can learn about container orchestration, Docker Swarm, and Docker Compose for managing complex containerized environments. Whether you're deploying microservices, building CI/CD pipelines, or optimizing your development workflow, Docker offers resources to streamline your containerization journey and unlock the benefits of container-based deployment.

Docker

Docker Model Runner now supports vLLM on Windows with WSL2 and NVIDIA GPUs, enabling high-throughput AI inference locally. The update allows Windows developers to run large language models with GPU acceleration using simple commands like 'docker model run'. Setup requires Docker Desktop 4.54+, WSL2, and NVIDIA GPU drivers. Models with the '-vllm' suffix on Docker Hub are optimized for this inference engine, which excels at handling concurrent requests with efficient memory management.

Docker Model Runner Adds vLLM Support on Windows