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AWS Summit ANZ 2021 - Scaling through distributed training
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Machine learning data sets and models continue to increase in size, bringing accuracy improvements in computer vision and natural language processing tasks. This means data scientists will increasingly encounter situations where their model training cannot fit on one GPU instance. Distributed training enables scale beyond the limitations of one GPU, either through data parallelisation or model parallelisation. In this session, learn the basic concepts behind distributed training and understand how Amazon SageMaker can help you implement distributed training for your models faster.
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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.
#AWS #AmazonWebServices #CloudComputing
Subscribe:
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.
#AWS #AmazonWebServices #CloudComputing