Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Amazon Deep Learning Containers for vLLM with EFA Support

Amazon Deep Learning Containers (DLCs) now support vLLM images that are optimized for large language model serving.

The vLLM DLC provides a production-ready environment for deploying and serving LLMs with built-in support for EFA (Elastic Fabric Adapter).

With vLLM's advanced features and optimizations pre-configured, this specialized container offer an ideal starting point for high-performance, scalable and efficient LLM serving for various use cases, from single-node to multi-node deployments.

All software components in these images are scanned for security vulnerabilities and updated or patched in accordance with Amazon Security best practices.

A list of available containers can be found on GitHub. Get started quickly with the Amazon Deep Learning Containers using the getting-started section in our developer guide. To ensure you are using the latest DLC releases, we invite you to subscribe to our DLC notification mechanism. If you are looking for a DLC to use with SageMaker, please refer to this documentation.

For guide on how to use vLLM, checkout vLLM documentation.

Release Notes

Example URL

763104351884.dkr.ecr.us-west-2.amazonaws.com/vllm:0.8-gpu-py312-ec2

Security Advisory

Amazon recommends that customers monitor critical security updates in the Amazon Security Bulletin.

Python Support

Python 3.12 is supported.

Instance Type Support

The containers support x86_64 instance types.

Amazon Regions support

The containers are available in the following regions:

Build and Test

Known Issues