SageMaker waste check

Previous Generation SageMaker Instance

previous_gen_sagemaker_instance

Low riskAir-Gapped and onlineValidation L2Open

What it finds

Previous Generation SageMaker Instance: one of the SageMaker checks in the ml/ai optimization group. Checks in this group look for: machine learning endpoints and notebooks that are idle, stopped but still billing for storage, or larger than their workload needs.

Why it costs money

Hosted notebooks and endpoints bill for the instance hours and storage they hold, not for the models they serve.

How it is detected

Previous-gen instance type (ml.m4/c4/t2/r4/p2)

Detection confidence: HIGH. This is the criterion from our public docs. It runs in a local scan with your own read-only credentials.

AWS's own tools

None of Trusted Advisor, Cost Optimization Hub or Compute Optimizer flags this.

Checked against the AWS documentation.

Run it yourself

Nothing leaves your machine. The local scan has no telemetry.