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Practical cost control for AI workloads on AWS: scale without bill shock
Guide outlines practical strategies for controlling AWS AI workload costs: optimize GPU use, choose Trainium vs GPU wisely, manage vector DB/storage, apply FinOps tools, leverage SageMaker savings, and use Spot instances.
Alex Boardman
Mar 154 min read
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