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AI/ML on EKS | EKS Workshop

As organizations increasingly adopt AI and ML technologies, the need for scalable, efficient infrastructure becomes crucial. Amazon EKS provides a powerful platform for deploying and managing ML workloads, offering the flexibility of Kubernetes combined with seamless integration of specialized AWS ML accelerators and services. In this lab, you'll learn how to leverage EKS for training and deploying ML models, optimize GPU resource utilization, and implement best practices for orchestrating ML pipelines at scale. Whether you're working with real-time inference, distributed training, or generative AI workloads, EKS provides the robust foundation needed for production-grade ML operations.



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AI/ML on EKS | EKS Workshop

https://www.eksworkshop.com/docs/aiml

As organizations increasingly adopt AI and ML technologies, the need for scalable, efficient infrastructure becomes crucial. Amazon EKS provides a powerful platform for deploying and managing ML workloads, offering the flexibility of Kubernetes combined with seamless integration of specialized AWS ML accelerators and services. In this lab, you'll learn how to leverage EKS for training and deploying ML models, optimize GPU resource utilization, and implement best practices for orchestrating ML pipelines at scale. Whether you're working with real-time inference, distributed training, or generative AI workloads, EKS provides the robust foundation needed for production-grade ML operations.



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https://www.eksworkshop.com/docs/aiml

AI/ML on EKS | EKS Workshop

As organizations increasingly adopt AI and ML technologies, the need for scalable, efficient infrastructure becomes crucial. Amazon EKS provides a powerful platform for deploying and managing ML workloads, offering the flexibility of Kubernetes combined with seamless integration of specialized AWS ML accelerators and services. In this lab, you'll learn how to leverage EKS for training and deploying ML models, optimize GPU resource utilization, and implement best practices for orchestrating ML pipelines at scale. Whether you're working with real-time inference, distributed training, or generative AI workloads, EKS provides the robust foundation needed for production-grade ML operations.

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      As organizations increasingly adopt AI and ML technologies, the need for scalable, efficient infrastructure becomes crucial. Amazon EKS provides a powerful platform for deploying and managing ML workloads, offering the flexibility of Kubernetes combined with seamless integration of specialized AWS ML accelerators and services. In this lab, you'll learn how to leverage EKS for training and deploying ML models, optimize GPU resource utilization, and implement best practices for orchestrating ML pipelines at scale. Whether you're working with real-time inference, distributed training, or generative AI workloads, EKS provides the robust foundation needed for production-grade ML operations.
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