Teams at your company can now share unused AI computing power on Amazon's cloud
Why it matters
Companies running several AI teams on shared GPUs on AWS can pool idle capacity instead of administrators negotiating access by hand.
Ask your team
How much of our reserved GPU capacity sits idle while another team waits for access?
What happened
AWS Batch now has quota management for Amazon SageMaker Training jobs, letting teams lend and borrow shared GPU capacity. It builds on AWS Batch's existing queuing, scheduling and retry support for ML training, aimed at cutting the coordination work administrators face as more teams onboard.
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Impact on AI & developer tools · Enterprise IT
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Read the original at AWS Machine Learning Blog
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