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If you are interested in setting up Machine Learning platforms and frameworks in EKS, explore the tutorials described in this page. These tutorials cover everything from patterns for making the best use of GPU processors to choosing modeling tools to building frameworks for specialized industries.
Build generative AI platforms on EKS
Run specialized generative AI frameworks on EKS
Maximize NVIDIA GPU performance for ML on EKS
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Implement GPU sharing to efficiently use NVIDIA GPUs for your EKS clusters:
GPU sharing on Amazon EKS with NVIDIA time-slicing and accelerated EC2 instances
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Use Multi-Instance GPUs (MIGs) and NIM microservices to run more pods per GPU on your EKS clusters:
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Build and deploy a scalable machine learning system on Kubernetes with Kubeflow on AWS
Run video encoding workloads on EKS
Accelerate image loading for inference workloads
Monitoring ML workloads
Announcements for ML on EKS
