Secure today, cheap today. ML workloads grow cost fast — GPU instances, large-scale training, always-on endpoints. Fortunately, SageMaker offers levers: Spot training, right-size instances, serverless/batch options, auto-shutdown, cost monitoring. Today map these levers to exam scenarios.
Training typically runs once and tolerates interruption/resumption, pairing well with Spot instances. Managed Spot Training cuts costs by up to 90%.