RALEIGH, N.C. (May 31, 2022) — Red Hat, Inc., the world's leading provider of open source solutions, today announced it is collaborating with multiple U.S. Department of Energy (DOE) laboratories to bolster cloud-native standards and practices in high-performance computing (HPC), including Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and Sandia National Laboratories.
Adoption of HPC is expanding beyond traditional use cases. Advancements in artificial intelligence, machine learning and deep learning, as well as compute and data-driven analytics, is driving greater interest and need for organizations to be able to run scalable containerized workloads on traditional HPC infrastructure. According to industry analyst firm Hyperion Research, roughly one-third of all HPC system revenue will be dedicated to AI-centric systems by 2025, showing nearly 23% CAGR over the five year period1, driven by the influx of AI workloads. Additionally, nearly 20% of HPC users' HPC-enabled AI workloads are currently being run in the cloud2.
Red Hat is a leader in cloud-native innovation across hybrid and multicloud environments, while laboratories understand the needs and unique demands of massive-scale HPC deployments. By establishing a common foundation of technology best practices, this collaboration seeks to use standardized container platforms to link HPC and cloud computing footprints, helping to fill potential gaps in building cloud-friendly HPC applications while creating common usage patterns for industry, enterprise and HPC deployments.
Together with the laboratories, Red Hat will focus on advancing four specific areas that address current gaps and help lay the groundwork for exascale computing, including standardization, scale, cloud-native application development, and container storage. Examples of collaborative projects between Red Hat and DOE laboratories includes:
Bringing standard container technologies to HPC
Red Hat and the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab recognize the importance of standard-based solutions in enabling computing innovation, especially when technologies must span from the edge to the cloud to HPC environments. From container security to scaling containerized workloads, common, accepted practices help HPC sites to get the most from container technologies. To better meet the unique requirements for large scale HPC systems and pave the way for organizations to be able to take advantage of containers in exascale computing, Red Hat and NERSC are collaborating on enhancements to Podman, a daemonless container engine for developing, managing and running container images on a Linux system, to enable it to replace NERSC’s custom development runtime, Shifter.
Running Kubernetes at massive scale
Red Hat has been collaborating with Sandia National Laboratories on the SuperContainers project for several years, working to make Linux containers and other building blocks of cloud-native computing more readily accessible to supercomputing operations. In this expanded collaboration, Red Hat and Sandia National Laboratories intend to explore the deployment scenarios of Kubernetes-based infrastructure at extreme scale, providing easier, well-defined mechanisms for delivering containerized workloads to users.
Bridging traditional HPC jobs with cloud-native workloads
Red Hat and Lawrence Livermore National Laboratory are collaborating to bring HPC job schedulers, such as Flux, to Kubernetes through a standardized programmatic interface helping IT teams supporting supercomputing operations to better manage traditional parallel workflows alongside containerized jobs, including how this mix of technologies operates with low-level hardware devices, like accelerators or high-speed networks.
Reimagining storage for containers
For containers to be used effectively across both HPC and commercial cloud resources, a set of standard interfaces is needed in order to manage various container image formats and for providing access to distributed file systems. Red Hat and the three DOE National Laboratories aim to define the mechanisms by which container images can be migrated from and deployed with other container engines, allowing users to freely move their applications across popular container runtime platforms, as well as create mechanisms that allow containers to use distributed file systems as persistent storage.
Through the collaboration and Red Hat's experience supporting some of the most powerful supercomputers in the world, HPC sites will be able to abstract the immense complexities their environments can present, benefiting the range of United States exascale machines being deployed by DOE.
1 Source: Hyperion Research, “Worldwide HPC-based Artificial Intelligence (AI) Market
Forecast, 2020-2025”
2 Source: Hyperion Research, “HPC and Containers — An Intriguing Combination”
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