Day 59 - SageMaker AI Platform

Date: 2025-11-27 (Thursday)
Status: “Planned”

Serverless & Resilient Training

  • SageMaker AI serverless MLflow for quick experimentation (zero infra, auto scale)
  • HyperPod training adds checkpointless recovery and elastic scaling based on resource availability

Benefits

  • Faster experiment cycles without cluster setup
  • Reduced failure recovery overhead; better utilization of heterogeneous capacity

Action Items

  • Set up a small MLflow serverless workspace for current experiments
  • Test checkpointless/elastic training on a representative model; note cost/time deltas
  • Update MLOps playbook to include new training modes and failure handling