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Introducing AI on EKS: powering scalable AI workloads with Amazon EKS
- AI on EKS is an open source initiative by AWS to help deploy, scale, and optimize AI/ML workloads on Amazon EKS.
- It offers deployment-ready blueprints, IaC templates, benchmarks, and best practices for various AI tasks.
- AI on EKS is an extension of the Data on EKS initiative, dividing into AI on EKS and Data on EKS repositories.
- It provides solutions for deploying EKS clusters, reference architectures, model inference, distributed training, and more.
- The project structure includes sections for Infra and Blueprints, offering Terraform templates and prebuilt implementations.
- Users can deploy AI workloads using the provided blueprints with detailed instructions.
- AI on EKS addresses challenges like GPU infrastructure management, scaling efficiency, and tool integration.
- Contributions and feedback are encouraged, with ways to contribute like submitting issues or creating new blueprints.
- Next steps for getting started include visiting the AI on EKS website and exploring the GitHub repo.
- The project aims to simplify infrastructure setup, optimize resource usage, and facilitate AI/ML deployment on Kubernetes.
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