Deploy LLMs on Amazon EKS using vLLM Deep Learning Containers

This article provides a comprehensive guide to deploying Large Language Models (LLMs) on Amazon EKS using vLLM Deep Learning Containers. The solution addresses key challenges in LLM deployment by leveraging AWS services and optimized container technologies.

• Utilizes AWS Deep Learning Containers (DLCs) for simplified vLLM deployment
• Leverages Amazon EKS with P4d.24xlarge instances featuring 8 NVIDIA A100 GPUs
• Integrates Elastic Fabric Adapter (EFA) for high-performance networking
• Uses FSx for Lustre for efficient model weight storage and access
• Implements AWS Load Balancer Controller for external service access
• Demonstrates deployment of DeepSeek-R1-Distill-Qwen-32B model

The solution provides a scalable, high-performance architecture for serving LLM inference workloads, reducing deployment complexity and operational overhead.