AWS ParallelCluster 3.12 is now generally available. This release makes it possible to include Lustre and NVIDIA software components in ParallelCluster custom images. Now, you can include ParallelCluster's recommended Nvidia drivers and CUDA libraries in custom images. This update also makes the Lustre client optional to account for scenarios where you may opt for alternative storage solutions. To enable these optional software components when creating custom images, configure the NvidiaSoftware and the LustreClient parameters in the build image configuration file when using the build-image command. For more details on the release, review the AWS ParallelCluster 3.12.0 release notes. AWS ParallelCluster is a fully-supported and maintained open-source cluster management tool that enables R&D customers and their IT administrators to operate high-performance computing (HPC) clusters on AWS. AWS ParallelCluster is designed to automatically and securely provision cloud resources into elastically-scaling HPC clusters capable of running scientific, engineering, and machine-learning (ML/AI) workloads at scale on AWS. 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 AWS ParallelCluster User Guide. To start using ParallelCluster, see the installation instructions for ParallelCluster UI and CLI.

AWS ParallelCluster 3.14 is now generally available. This release includes P6e-GB200 and P6-B200 instance types, prioritized allocation strategies for optimized instance placement, and NICE DCV support for Amazon Linux 2023. Other features included in this release are support for chef-client log visibility in instance console inside the instance's system log and Amazon Linux 2023 with kernel 6.12. To get started using P6e-GB200 instances with ParallelCluster, follow the tutorial in the ParallelCluster User Guide - https://docs.aws.amazon.com/parallelcluster/latest/ug/support-nvidia-imex-p6e-gb200-instance.html. For more details on the release, review the AWS ParallelCluster 3.14.0 https://github.com/aws/aws-parallelcluster/releases/tag/v3.14.0. ParallelCluster is a fully-supported and maintained open-source cluster management tool that enables R&D customers and their 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 https://docs.aws.amazon.com/parallelcluster/latest/ug/supported-regions.html, 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 https://docs.aws.amazon.com/parallelcluster/latest/ug/tutorials-v3.html. To start using ParallelCluster, see the installation instructions for ParallelCluster https://docs.aws.amazon.com/parallelcluster/latest/ug/install-pcui-v3.html and https://docs.aws.amazon.com/parallelcluster/latest/ug/install-v3-parallelcluster.html.

AWS ParallelCluster 3.14 is now generally available. This release includes P6e-GB200 and P6-B200 instance types, prioritized allocation strategies for optimized instance placement, and NICE DCV support for Amazon Linux 2023. Other features included in this release are support for chef-client log visibility in instance console inside the instance's system log and Amazon Linux 2023 with kernel 6.12. To get started using P6e-GB200 instances with ParallelCluster, follow the tutorial in the ParallelCluster User Guide - Using Amazon EC2 P6e-GB200 UltraServers in AWS ParallelCluster. For more details on the release, review the AWS ParallelCluster 3.14.0 release notes. ParallelCluster is a fully-supported and maintained open-source cluster management tool that enables R&D customers and their 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.

Today we announce Research and Engineering Studio (RES) on AWS version 2025.12, which introduces tag propagation for CloudFormation resources, enhanced Windows domain configuration options, default session scheduling, and security improvements. Research and Engineering Studio on AWS is an open source solution that provides a web-based portal for administrators to create and manage secure cloud-based research and engineering environments. RES enables scientists and engineers to access powerful Windows and Linux virtual desktops with pre-installed applications and shared resources, without requiring cloud expertise. Tags applied to the CloudFormation stack now propagate to all resources created during RES deployment, making it easier to track costs and manage resources across your organization. Administrators can disable automatic Windows domain joining for hosts, providing flexibility to implement custom domain-join logic when needed. You can now set a default schedule for all new desktop sessions, helping teams standardize session management practices. This version includes several security improvements to help RES deployments meet the NIST 800-223 standard and fixes a bug where some sessions were logged out after 2 minutes when using a custom DNS domain. This release is available in all https://docs.aws.amazon.com/res/latest/ug/plan-your-deployment.html#plan-your-deployment-supported-aws-regions. To learn more about RES 2025.12, including detailed release notes and deployment instructions, visit the https://docs.aws.amazon.com/res/ or check out the https://github.com/aws/res/releases.

AWS ParallelCluster 3.13 is now generally available. Key features of this release include support for Ubuntu 24.04, an updated Slurm version 24.05.07 and support for Elastic Fabric Adapter (EFA)-enabled Amazon FSx for Lustre filesystems on official ParallelCluster AMIs. You can use EFA with your FSx Lustre filesystems to achieve higher throughput and complete jobs faster, reducing overall costs. To get started with enabling EFA with FSx Lustre filesystems on your clusters, follow the tutorial in the ParallelCluster User Guide - https://docs.aws.amazon.com/parallelcluster/latest/ug/tutorial-efa-enabled-fsx-lustre.html. ParallelCluster is a fully-supported and maintained open-source cluster management tool that enables R&D customers and their 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 https://docs.aws.amazon.com/parallelcluster/latest/ug/supported-regions.html, 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 https://docs.aws.amazon.com/parallelcluster/latest/ug/tutorials-v3.html. To start using ParallelCluster, see the installation instructions for ParallelCluster https://docs.aws.amazon.com/parallelcluster/latest/ug/install-pcui-v3.html and https://docs.aws.amazon.com/parallelcluster/latest/ug/install-v3-parallelcluster.html.

AWS ParallelCluster 3.12 is now generally available. This release makes it possible to include Lustre and NVIDIA software components in ParallelCluster custom images. Now, you can include ParallelCluster's recommended Nvidia drivers and CUDA libraries in custom images. This update also makes the Lustre client optional to account for scenarios where you may opt for alternative storage solutions. To enable these optional software components when creating custom images, configure the NvidiaSoftware and the LustreClient parameters in the https://docs.aws.amazon.com/parallelcluster/latest/ug/image-builder-configuration-file-v3.html when using the build-image command. For more details on the release, review the AWS ParallelCluster 3.12.0 https://github.com/aws/aws-parallelcluster/releases/tag/v3.12.0. AWS ParallelCluster is a fully-supported and maintained open-source cluster management tool that enables R&D customers and their IT administrators to operate high-performance computing (HPC) clusters on AWS. AWS ParallelCluster is designed to automatically and securely provision cloud resources into elastically-scaling HPC clusters capable of running scientific, engineering, and machine-learning (ML/AI) workloads at scale on AWS. AWS ParallelCluster is available at no additional charge in the AWS Regions listed https://docs.aws.amazon.com/parallelcluster/latest/ug/moving-from-v2-to-v3.html#supported-regions-v3, and you pay only for the AWS resources needed to run your applications. To learn more about launching HPC clusters on AWS, visit the AWS ParallelCluster https://docs.aws.amazon.com/parallelcluster/latest/ug/tutorials-v3.html. To start using ParallelCluster, see the installation instructions for ParallelCluster https://docs.aws.amazon.com/parallelcluster/latest/ug/install-pcui-v3.html and https://docs.aws.amazon.com/parallelcluster/latest/ug/install-v3-parallelcluster.html.

Today we announce Research and Engineering Studio (RES) on AWS version 2025.12, which introduces tag propagation for CloudFormation resources, enhanced Windows domain configuration options, default session scheduling, and security improvements. Research and Engineering Studio on AWS is an open source solution that provides a web-based portal for administrators to create and manage secure cloud-based research and engineering environments. RES enables scientists and engineers to access powerful Windows and Linux virtual desktops with pre-installed applications and shared resources, without requiring cloud expertise. Tags applied to the CloudFormation stack now propagate to all resources created during RES deployment, making it easier to track costs and manage resources across your organization. Administrators can disable automatic Windows domain joining for hosts, providing flexibility to implement custom domain-join logic when needed. You can now set a default schedule for all new desktop sessions, helping teams standardize session management practices. This version includes several security improvements to help RES deployments meet the NIST 800-223 standard and fixes a bug where some sessions were logged out after 2 minutes when using a custom DNS domain. This release is available in all AWS Regions where RES is available. To learn more about RES 2025.12, including detailed release notes and deployment instructions, visit the Research and Engineering Studio documentation or check out the RES GitHub repository.

AWS ParallelCluster 3.13 is now generally available. Key features of this release include support for Ubuntu 24.04, an updated Slurm version 24.05.07 and support for Elastic Fabric Adapter (EFA)-enabled Amazon FSx for Lustre filesystems on official ParallelCluster AMIs. You can use EFA with your FSx Lustre filesystems to achieve higher throughput and complete jobs faster, reducing overall costs. To get started with enabling EFA with FSx Lustre filesystems on your clusters, follow the tutorial in the ParallelCluster User Guide - Creating a cluster with an EFA-enabled FSx Lustre . ParallelCluster is a fully-supported and maintained open-source cluster management tool that enables R&D customers and their 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.