This Government Contract opportunity from Department Of Energy was posted on April 28, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Data Management and High-Performance Data Analytics
Contract Overview
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The contract seeks a subcontractor to manage, curate, and perform high-performance data analytics on large-scale datasets generated from high-performance computing simulations and experimental tests. The work involves secure handling of sensitive and complex data, ensuring integrity, accessibility, and scalability throughout the data lifecycle, from ingestion to analysis. The focus is on leveraging advanced computational techniques to extract actionable insights, optimize data workflows, and support decision-making for mission-critical applications under the Department of Energy. The North American Industry Classification System code 518210 indicates the scope centers on data processing, hosting, and related services. Responses are due by May 28, 2026, and the contract is structured as a subcontract under the DOE’s LLNS contractor framework, implying alignment with existing federal research and development priorities. While specific performance locations and point of contact details are not provided, the effort is expected to support national laboratory objectives requiring robust data infrastructure, high-throughput processing, and stringent security protocols. The posting date of April 28, 2026, suggests the award timeline is designed to enable seamless integration into ongoing or upcoming DOE initiatives with minimal delay.
General Info
Agency
NAICS
Place of Performance
CA, USASet-Aside
Documents
This scope was carved out of HPC4EI-2026SP-RN-SOL.
The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.
High-Performance Computing for Energy Innovation Program: Collaboration for U.S. Manufacturers
AI Contract Breakdown
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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