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Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

Machine Learning Frameworks on Kubernetes

This repository explains how to run different Machine Learning frameworks on Amazon EKS.

  • Create GPU-enabled Amazon EKS cluster with Kubeflow
  • Single node training for MNIST
    • TensorFlow and Keras
    • MXNet and Keras
  • Inference for MNIST
    • TensorFlow Serving Component
    • MXNet Model Server
  • TensorBoard setup
    • TensorBoard on Amazon EKS
  • Distributed training
    • TensorFlow and Horovod on Amazon EKS with ImageNet Data
    • TensorFlow and Horovod on Amazon EKS with Synthetic Data
    • MNIST Handwritten Digit Recognition in PyTorch

Other Notes

  • Jupyter Notebook on Amazon EKS
  • Serverless Inference
    • Serverless inference on AWS Fargate
  • Inference using Imagenet
    • TensorFlow on Amazon EKS

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Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

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