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Building Deep learning applications using PyTorch on AWS

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Building Deep learning applications using PyTorch on AWS

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Are you looking to accelerate going from prototyping to production for your PyTorch-based models? AWS offers services to build and scale ML models using Amazon SageMaker for a fully managed experience, Amazon Elastic Kubernetes Service (EKS) for containerized workloads, and AWS ParallelCluster to run Amazon EC2 clusters to easily train and deploy your workloads.

3 Virtual Workshop Episodes

Distributed ML training using PyTorch and Amazon Elastic Kubernetes Service (June 15, 8:00 AM - 9:30 AM MDT)

Distributed ML training with PyTorch and Amazon SageMaker (June 22, 8:00 AM - 9:30 AM MDT)

Distributed ML training using PyTorch on High-Performance Computing (HPC) clusters (June 29, 8:00 AM - 9:30 AM PDT)

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