List of HPE Cray Supercomputing Customers
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Since 2010, our global team of researchers has been studying HPE Cray Supercomputing customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased HPE Cray Supercomputing for AI infrastructure from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using HPE Cray Supercomputing for AI infrastructure include: Oak Ridge National Laboratory, a United States based Government organisation with 7000 employees and revenues of $2.60 billion, NERSC, a United States based Government organisation with 2075 employees and revenues of $249.0 million, Csc-Tieteellinen Laskenta, a Finland based Professional Services organisation with 219 employees and revenues of $25.0 million and many others.
Contact us if you need a completed and verified list of companies using HPE Cray Supercomputing, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Csc-Tieteellinen Laskenta | Professional Services | 219 | $25M | Finland | Hewlett Packard Enterprise | HPE Cray Supercomputing | AI infrastructure | 2019 | n/a |
In 2019, Csc-Tieteellinen Laskenta began procurement of HPE Cray Supercomputing to expand its AI infrastructure capacity under the EuroHPC LUMI project. The procurement process started with a call for tender in November 2019 and the HPE-built HPE Cray Supercomputing system entered production and was inaugurated in mid 2022, establishing a hosted facility in Kajaani, Finland.
The deployed HPE Cray Supercomputing platform is a EuroHPC HPE Cray EX pre exascale system configured to serve AI infrastructure use cases, including AI model training, data analytics, and large scale scientific simulations. Implementations included GPU accelerated compute partitions, high throughput compute nodes, and multi user resource management for batch and parallel workloads, supporting machine learning and simulation pipelines typical of high performance computing environments.
Operationally the LUMI system is hosted by CSC in Kajaani, Finland and provisioned to European research institutions and industry via EuroHPC governance, providing shared access and quota based GPU hours. The configuration and access model emphasize multi institutional allocation, central scheduling, and managed researcher onboarding to align compute capacity with science and industry workloads across Europe.
Procurement in November 2019 and production entry in mid 2022 framed the rollout timeline, with inauguration in 2022 marking full operational availability. The deployment substantially increased GPU hours available to European researchers and industry, positioning Csc-Tieteellinen Laskenta and the HPE Cray Supercomputing installation as a continental AI infrastructure resource for high end scientific and industrial compute tasks.
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NERSC | Government | 2075 | $249M | United States | Hewlett Packard Enterprise | HPE Cray Supercomputing | AI infrastructure | 2020 | n/a |
In 2020, NERSC implemented HPE Cray Supercomputing, deploying Perlmutter, an HPE Cray EX (Shasta) system at Lawrence Berkeley National Laboratory. The contract was finalized in 2020 and the first production phase entered service in 2021, marking the initial operational capacity for GPU intensive workloads.
HPE Cray Supercomputing was provisioned as AI infrastructure and configured to deliver large pools of GPU backed nodes, multi node parallelism, and a low latency interconnect to accelerate AI model training and high fidelity simulation. The environment was configured to support containerized workflows, batch scheduling, and mixed CPU and GPU orchestration to accommodate both machine learning pipelines and traditional HPC simulation workloads.
Perlmutter was brought online to support scientific research and AI workloads across climate, materials, chemistry, and computational biology, serving thousands of researchers in the United States. Operational ownership and governance are handled by NERSC staff at the national user facility, using centralized scheduling and allocation policies for cross domain access, and the phased rollout notably increased GPU backed AI and simulation throughput for those research communities.
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Oak Ridge National Laboratory | Government | 7000 | $2.6B | United States | Hewlett Packard Enterprise | HPE Cray Supercomputing | AI infrastructure | 2019 | n/a |
In 2019 Oak Ridge National Laboratory began implementation of HPE Cray Supercomputing as AI infrastructure under the Department of Energy award for the Frontier HPE Cray EX exascale system. The award initiated a multi-year deployment that proceeded to hardware installation completed in late 2021 and system entry into service in 2022.
The deployment centered on the HPE Cray EX architecture, delivering exascale compute capacity and dense accelerator and CPU configurations to support large-scale AI training and high performance simulation workloads. Functional capabilities implemented include large-scale parallel compute, scalable AI model training, simulation orchestration, job scheduling and system-level telemetry consistent with exascale HPC environments.
Operational scope targeted science programs in energy, materials, climate and national security, with the Frontier HPE Cray EX system provisioned for research workflows across Oak Ridge National Laboratory. Integrations focused on laboratory HPC operational stacks, research data pipelines and institutional user access models to enable AI infrastructure and compute-for-science workloads.
Governance incorporated centralized HPC operations, user access controls, scientific program prioritization and staged commissioning between 2019 and 2022 to bring the system to production. The Frontier HPE Cray EX system delivers exascale performance that enables much larger AI and simulation workloads in the United States, expanding Oak Ridge National Laboratory capacity for advanced scientific computing.
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Buyer Intent: Companies Evaluating HPE Cray Supercomputing
- Nixon Peabody, a United States based Professional Services organization with 1700 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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