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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

FinOps for AI on AWS: a practical playbook for controlling GPU and model costs as you scale

This playbook guides managing AI GPU costs on AWS by leveraging cost-efficient instances, spot instances, right-sizing, autoscaling, and AWS tools to optimize spending and align technical choices with business value.

Alex Boardman

Mar 144 min read