AWS Batch works well for traditional enterprise batch processing (see their case studies 1 and 2). But AI workloads have different requirements - they’re more interactive, need flexible GPU access, and benefit from simpler iteration cycles. In this post, we explore how you would use AWS Batch to run AI batch inference at scale, and explain why it does not fit well with modern AI workloads. We’ll also show an alternative approach using SkyPilot.
