Berkeley, 94720, CA,
United States
NERSC Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by NERSC and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2075 NERSC employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that NERSC has purchased the following applications: HPE Cray Supercomputing for AI infrastructure in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems NERSC is running and its propensity to invest more and deepen its relationship with Hewlett Packard Enterprise or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing NERSC revenues, which have grown to $249.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for NERSC intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Hewlett Packard Enterprise | Legacy | HPE Cray Supercomputing | AI infrastructure | AI Development | n/a | 2020 | 2021 |
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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