AWS ParallelCluster 3.15 is now generally available. This release adds support for P6-B300 instance types and upgrades Slurm to version 25.11 with expedited job requeue.
With P6-B300 support, you can run demanding AI/ML and high-performance computing workloads on the latest NVIDIA Blackwell GPU infrastructure. This release includes improved EFA network configuration defaults and support for network interface customization. To learn how to customize network interfaces, see Customize compute node network interfaces with launch template overrides. Other improvements include more reliable cluster updates, improved performance for tightly-coupled workloads in large clusters, and support for updating cluster tags without disruption. For more details, review the AWS ParallelCluster 3.15.0 release notes.
AWS ParallelCluster is an open-source cluster management tool that makes it possible for R&D customers and IT administrators to operate high-performance computing (HPC) clusters on AWS. ParallelCluster is designed to automatically and securely provision cloud resources into elastically-scaling HPC clusters capable of running scientific and engineering workloads at scale on AWS. ParallelCluster is available at no additional charge in the AWS Regions listed here, and you pay only for the AWS resources needed to run your applications.
To learn more about launching HPC clusters on AWS, visit the ParallelCluster User Guide. To start using ParallelCluster, see the installation instructions for ParallelCluster UI and CLI.
Categories: marketing:marchitecture/compute,marketing:marchitecture/artificial-intelligence
Source: Amazon Web Services
