Run inference on Amazon SageMaker | Step 3: Optimize model deployment | Amazon Web Services
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Опубликовано 24 июля 2024, 15:46
Amazon SageMaker makes it easier to deploy FMs to make inference requests at the best price performance for any use case. In this video, you will learn how to use various deployment options and optimization techniques when deploy FMs on SageMaker.
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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.
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Learn more at: go.aws/3Vt466O
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: 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
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