Starting today, you can use AWS Batch with workloads running on Amazon EC2 A1 and G3s instances. AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.

Now supporting Amazon EC2 A1 instances, which deliver significant cost savings and are ideally suited for scale-out and Arm-based workloads that are supported by the extensive Arm ecosystem, AWS Batch allows customers to run their batch jobs at low cost with the convenience of a fully managed services. A1 instances deliver cost savings for customer workloads that can run Arm instructions and fit within the available A1 memory footprint.

AWS Batch now also supports G3s instances, giving customers additional flexibility when running rendering workloads through Batch’s managed scaling and scheduling service. G3s instances are ideal for rendering workloads for visual effects (VFX) and virtual workstations for design & engineering applications.

To learn more, visit our AWS Batch Getting Started Guide.