Livermore, 94550, CA,
United States
Lawrence Livermore National Laboratory Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Lawrence Livermore National Laboratory and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 9563 Lawrence Livermore National Laboratory employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Lawrence Livermore National Laboratory has purchased the following applications: SAP Concur Expense for Expense Management in 2017, IBM Power AI Infrastructure for AI infrastructure in 2017, MicroStrategy ONE Analytics for Analytics and BI in 2012 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Lawrence Livermore National Laboratory is running and its propensity to invest more and deepen its relationship with SAP , IBM , Anthropic 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 Lawrence Livermore National Laboratory revenues, which have grown to $3.25 billion 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 Lawrence Livermore National Laboratory 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Concur Expense | Expense Management | ERP Financial Management | n/a | 2017 | 2017 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Power AI Infrastructure | AI infrastructure | AI Development | n/a | 2017 | 2018 |
In 2017 Lawrence Livermore National Laboratory deployed IBM Power AI Infrastructure as the AI infrastructure foundation for its Sierra system. The Sierra deployment provided high performance compute capacity to support large scale simulations and emerging AI and deep learning workflows used for national security and scientific research in the United States.
Sierra combined IBM POWER9 processors with NVIDIA GPUs at the node level, with IBM supplying the POWER9 based infrastructure and collaborating on system software and workload tuning. The IBM Power AI Infrastructure implementation centered on GPU accelerated compute, multi node POWER9 architecture, and software stacks optimized for deep learning workloads and large scale simulation pipelines.
IBM worked directly with LLNL on AI and code optimization to tune the software stack for deep learning and simulation performance, this collaboration encompassed system software tuning and application level optimization. Use of the PowerAI distribution is reasonably inferred from the POWER9 and GPU based AI deployment and is noted as an inference rather than an explicit vendor disclosure.
Operational scope focused on laboratory research groups running simulation driven science and AI experimentation, supporting national security and scientific research missions across LLNL facilities. Governance emphasized joint engineering between IBM and laboratory HPC teams to align system configuration, application tuning, and workload orchestration for sustained AI infrastructure operations.
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AI infrastructure, MLOps Platforms | AI Development |
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2025 | 2025 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| MicroStrategy | Legacy | MicroStrategy ONE Analytics | Analytics and BI | Analytics and BI | n/a | 2012 | 2018 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Signing | Content Management |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2021 | 2021 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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3D Modeling | PLM and Engineering |
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2004 | 2009 |
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PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Project Portfolio Management | PPM |
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2019 | 2019 |
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Project Portfolio Management | PPM |
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2017 | 2017 |
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Project Portfolio Management | PPM |
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2017 | 2017 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Test Automation Platform | PaaS |
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2008 | 2009 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Cloud Storage | IaaS |
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2019 | 2020 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Database Management, Open-Source Database | IaaS |
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2024 | 2024 |
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