Amazon Web Services | Accelerate FM pre-training on Amazon SageMaker HyperPod (Slurm): Distributed training example @amazonwebservices | Uploaded September 2024 | Updated October 2024, 58 minutes ago.
Amazon SageMaker HyperPod is purpose-built to reduce time to train foundation models (FMs) by up to 40% and scale across more than a thousand AI accelerators efficiently. In this video, dive into how to run distributed training on SageMaker HyperPod.
Learn more at: https://go.aws/3TUKZSs
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ABOUT AWS
Amazon Web Services (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
Amazon SageMaker HyperPod is purpose-built to reduce time to train foundation models (FMs) by up to 40% and scale across more than a thousand AI accelerators efficiently. In this video, dive into how to run distributed training on SageMaker HyperPod.
Learn more at: https://go.aws/3TUKZSs
Subscribe:
More AWS videos: https://go.aws/3m5yEMW
More AWS events videos: https://go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (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
