Optimized for Azure HPC: Red Hat delivers an easy HPC RHEL solution

Optimized for Azure HPC: Red Hat delivers an easy HPC RHEL solution Introducing RHEL HPC system role What are we offering? Where we’re going Unlock your cloud HPC capacity today Red Hat Enterprise Linux | Product trial About the authors Ariel Adam James Huang More like this Blog post Blog post Original podcast Original podcast Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The world of high performance computing (HPC) drives much of the major scientific advances throughout the world. As one of the most trusted enterprise Linux platforms, Red Hat Enterprise Linux (RHEL) serves as the foundation for many of these HPC workloads, serving industries such as automotive, financial services, biomedical, energy, and beyond. Meanwhile, the public cloud has continued to gain traction in the broader compute marketplace, offering tremendous flexibility and dynamic infrastructure. This trend has been emerging as well for HPC, with organizations looking to take advantage of that same flexibility and extra compute capacity in order to scale HPC clusters on demand, shortening their product development or research cycles. This is why we’re excited to launch a new offering: RHEL for HPC on Azure. We’ve partnered closely with Microsoft to identify the technical requirements to accelerate the time-to-deployment for our shared customers. With RHEL for HPC on Azure, you get the automation that installs the tools and libraries required for an accelerated HPC compute environment on Azure infrastructure. The RHEL HPC 9.6 for Azure cloud offering is based on RHEL system roles. The RHEL HPC system role is a Red Hat Ansible Automation Platform role specifically designed to simplify the deployment and configuration of HPC environments. This system role installs necessary third-party components that customers would otherwise have to manually integrate, such as the NVIDIA CUDA Driver, CUDA Toolkit, NVIDIA Collective Communications Library (NCCL), NVIDIA Fabric Manager, NVIDIA RDMA packages, and Open MPI. It is modular, allowing users to selectively install or skip specific packages and offering functionalities such as configuring storage volumes to ensure enough disk space is allocated for these large installations on Azure. You can now select the RHEL HPC image listing in the Azure market place.