
Amazon EKS with Karpenter enables efficient scaling and management of large language models like Meta's Llama-3-8B on GPU instances, optimizing performance and cost through dynamic provisioning and automated infrastructure management.


<div>
<p>This article discusses how to deploy and scale a large language model (Llama-3-8B) using NVIDIA NIM (Inference Microservices) on Amazon EKS (Elastic Kubernetes Service) with Karpenter.</p>
<p>Specifically, the article covers:</p>
<ul>
<li>Solution overview and architecture</li>
<li>Prerequisites and setup instructions</li>
<li>Testing the deployed model with example prompts</li>
<li>Autoscaling with Karpenter and HPA (Horizontal Pod Autoscaler)</li>
<li>Observability with Prometheus and Grafana</li>
<li>Performance testing with NVIDIA GenAI-Perf tool</li>
<li>Conclusion and benefits of the solution</li>
</ul>
</div>


Scaling a Large Language Model with NVIDIA NIM on Amazon EKS with Karpenter

Related articles

Related articles

Oct 17
2024
Deploying Generative AI Applications with NVIDIA NIM Microservices on Amazon Elastic Kubernetes Service (Amazon EKS) – Part 2

Jul 24
2024
Deploying generative AI applications with NVIDIA NIMs on Amazon EKS

Oct 10
2024
Powering the Next Generation of AI Workloads on Amazon EKS with Anyscale

Oct 14
2024
Amazon EKS now supports using NVIDIA and AWS Neuron accelerated instance types with AL2023