Amazon S3 offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 for machine learning use cases to store artifacts including training data and checkpoints. In this session, learn how to achieve the highest performance while keeping your architecture simple when reading training data and reading and writing model checkpoints in Amazon S3. Specifically, this session explores best practices and tools for accessing Amazon S3 from Kubernetes applications and popular open source frameworks like PyTorch.
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