AWS Batch Now Runs on ECS Managed Instances — Less GPU Infrastructure Hassle!
Hey everyone, it's Shiichan! Today's news makes running infrastructure for AWS Batch a little easier.
AWS What's NewWhat was announced?
This comes from AWS What's New. AWS Batch now supports Amazon ECS Managed Instances (ECS MI) as a new compute option, letting you run GPU-accelerated, compute-intensive batch workloads on infrastructure that AWS manages for you.
The story so far
Previously, running GPU workloads on AWS Batch meant managing your own EC2 infrastructure — handling AMI updates, security patching, and instance lifecycle yourself. That was especially burdensome around GPU instances specifically.
What changes
With AWS Batch on ECS MI, AWS automatically handles AMI updates, security patching, and instance lifecycle management. You're freed from the operational overhead of managing your own EC2 infrastructure, making GPU-accelerated workloads much easier to access.
Dive Deep
You set this up by creating a compute environment through the AWS Batch CreateComputeEnvironment API or the AWS Batch Management Console. Here's what you configure:
- Allowed instance types and networking configuration, specified in the
managedInstancesProviderblock - Associate the compute environment with a job queue
- Submit jobs using On-Demand, Spot, or reserved capacity
AWS Batch on ECS Managed Instances is supported in every AWS Region where AWS Batch is available. For the full details, check the AWS Batch User Guide.
Wrap-up
- AWS Batch now supports Amazon ECS Managed Instances as a new compute option
- AWS automatically handles AMI updates, security patching, and instance lifecycle
- Set it up via the
CreateComputeEnvironmentAPI or console, specifying instance types and networking in themanagedInstancesProviderblock - Submit jobs with On-Demand, Spot, or reserved capacity — supported everywhere AWS Batch is available
If you're running GPU batch workloads and feeling the pain of managing your own EC2 infrastructure, this update is for you!