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.
Learn more about AWS re:Invent at [ Ссылка ].
Subscribe:
More AWS videos: [ Ссылка ]
More AWS events videos: [ Ссылка ]
ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.
AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.
#AWSreInvent #AWSreInvent2023
