Learn by Hands on Labs with AJ - Run LLAMA Model on EKS

Abstract: In regulated industries, deploying large language models like LLAMA requires meticulous attention to security, compliance, and performance. This breakout session will explore how to deploy LLAMA models using Amazon EKS and NVIDIA NIM, focusing on creating a scalable, compliant, and cost-effective infrastructure. We’ll discuss common deployment pitfalls, such as GPU and node access issues, and provide actionable insights on optimizing your deployment with Karpenter, EFS, and other AWS services.
Key Takeaway: Participants will gain practical knowledge on deploying and managing LLAMA models within AWS EKS, ensuring regulatory compliance and maximizing deployment efficiency and performance in highly controlled environments

Agenda:

• Introduction to LLM Deployment Challenges in Regulated Environments
• Detailed walkthrough of NVIDIA NIM, its benefits, and integration with AWS EKS
• Troubleshooting GPU access, node initialization, and Karpenter autoscaling.
• Best practices for maintaining observability, logging, and scalability.
• Demo: Real-time deployment of LLAMA model on a secure AWS EKS cluster.