Cost allocation for AI workloads fails at the attribution layer, not the pricing layer. On AWS, tags you apply to resources only appear in Cost Explorer or on a cost allocation report after you activate them. On Azure, cost allocation rules move shared costs between organizational units without touching the …
Editorial team 
Cloud AI Cost Optimization: The Engineer’s Playbook
Cloud AI cost optimization is an architecture and purchasing problem, not a negotiation exercise. Four levers move the bill: model and inference selection, discount instruments such as commitments and spot capacity, token and workflow controls, and the elimination of idle GPU hours. Applied together, they attack training and inference spend …
Spot GPUs Save 70% on Paper. Production Says Otherwise.
Amazon SageMaker’s managed spot training can cut ML training cost up to 90% over on-demand — but only if your job checkpoints. AWS explicitly caps non-checkpointing spot jobs at MaxWaitTimeInSeconds of 3600 seconds, so any LLM fine-tune longer than one hour that cannot resume from a checkpoint is structurally impossible …