Amazon EC2 offers the most extensive range of accelerators in the cloud for running machine learning workloads. Whether utilizing EC2 instances powered by NVIDIA GPUs or AWS Trainium, managing the software stack can be challenging. Key considerations include what to include in the Amazon Machine Image (AMI) and what to place in the container.
In this chalk-talk, we will explore the software stack for various accelerators, diving into AMIs and practical techniques for building and managing your software stack. This session will provide insights from real-world experiences to help you optimize your machine learning infrastructure on AWS.