Hewlett Packard Enterprise (HPE) announced it will deliver the industry's most comprehensive high-performance computing (HPC) and Artificial Intelligence (AI) portfolio for the exascale era, which is characterized by explosive data growth and new converged workloads such as HPC, AI, and analytics. The addition of Cray Inc., which HPE recently acquired, bolsters HPE's HPC and AI solutions to now encompass an end-to-end supercomputing architecture across compute, interconnect, software, storage and services, delivered on premises, hybrid or as-a-Service. Now every enterprise can leverage the same foundational HPC technologies that power the world's fastest systems, and integrate them into their data centers to unlock insights and fuel new discovery.

Digital transformation is driving new data-intensive workloads and real-time analytics operating at an unprecedented scale. New software, compute, interconnect, and storage capabilities are required for customers to unlock the potential of their data and accelerate innovation. HPE delivers solutions for any experience from single, small systems all the way to exascale-class supercomputers with tailored software, interconnect and storage capabilities.

This includes solutions for modeling and simulation in weather forecasting, manufacturing and energy sectors, and AI and big data analytics in precision medicine, autonomous vehicles, geospatial imaging and financial services. HPE's latest HPC and AI end-to-end portfolio is comprised of the following services, software, compute, interconnect and storage capabilities: Making HPC and AI accessible as-a-Service: As previously announced, Cray and Microsoft have collaborated to allow access to HPC technology and systems for Cray in Microsoft Azure offerings. HPE plans to expand customer choice for customers by providing its HPC and AI solutions through HPE GreenLake, a market-leading as-a-Service offering from HPE.

Purpose-built software to manage all types of data: HPC and AI systems run like a cloud - Cray System Management Software, built on a container-based, multi-tenant architecture, enables converged HPC and AI workloads to run simultaneously on a single system, providing administrators and developers with a modern, cloud experience. Simplifying and optimizing workloads - HPE is simplifying application development and management across complex HPC and AI workloads that consist of diverse processors and accelerators with the Cray Programming Environment (CPE). CPE provides a complete and fully supported developer environment and integrated software suite, offering compilers and programming languages, tools and libraries, that maximizes programmer productivity, application scalability and performance.

It is designed to allow easy porting of existing applications with minimal recoding, while minimizing changes to existing programming models and simplifying developer transition to new hardware paradigm. Extended support for HPE Performance Cluster Management: The HPE Performance Cluster Management (HPCM) software provides complete provisioning, management, and monitoring for clusters scaling to 100,000 nodes. The software enables fast system setup from bare-metal, comprehensive hardware monitoring and management, image management, software updates and power management.

As part of the new portfolio, future planned releases of HPCM will expand system support to include new Cray systems. This new support will enable customers with a breadth of new system choices while maintaining their existing HPCM management environment. Compute optimized for any environment, any size: HPE is extending its leadership in enterprise-grade computing with the HPE family of Apollo systems by adding Cray Supercomputers to its portfolio. This new combined compute portfolio will bring customers a new level of choice for a range of workloads, and delivered at any scale.

Starting at a single server and expanding to the largest supercomputers, the combined portfolio can comprehensively address the supercomputing needs of any data center. The new Cray systems will be based on the Shasta architecture, which will be used to deliver the first three U.S. exascale systems.