How We Reduced AWS Costs by 45% using Serverless Fine-Tuning
Auditing idle resources, sizing ECS Fargate tasks precisely, and using spot instances for offline batch ML jobs.
Cloud expenses easily spin out of control. By auditing our compute footprint, we migrated static configurations to highly dynamic spot instance orchestrators.
This post details sizing memory parameters, scheduling off-hour auto-scale policies, and running non-critical inference queues on serverless workers.