Manage compute resources for AI/ML workloads on Amazon EKS - Amazon EKS
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Manage compute resources for AI/ML workloads on Amazon EKS

This section is designed to help you manage compute resources for machine learning workloads in Amazon Elastic Kubernetes Service (EKS). You’ll find details on reserving GPUs using Capacity Blocks for managed node groups and self-managed nodes, including prerequisites, launch template setup, scaling configurations, workload preparation, and key considerations for handling reservation lifecycles and graceful node termination.

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