Reduce energy consumption of your machine learning workloads by up to 90% with AWS purpose-built accelerators
AWS Machine Learning
JUNE 20, 2023
Conclusion There is a common misconception that running ML workloads in a sustainable and energy-efficient fashion means sacrificing on performance or cost. You can also watch the AWS re:Invent 2022 talk on Sustainability and AWS silicon (SUS206) , which covers many of the topics discussed in this post. Kamran Khan is a Sr.
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