Scientific Facilities Infrastructure
Past New Requirement Updated
- Agency
-
Department of Agriculture
- Solicitation expected
- Estimated value
- $10,000,000 to $19,000,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 518210 Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
- Forecast number
- 46620
- Points of contact
-
- Marcus Brown marcus.t.brown@usda.gov
Forecast details come from the GSA Acquisition Gateway. Agencies' dates and values are estimates.
About this forecast
The Department of Agriculture is forecasting a new requirement for Scientific Facilities Infrastructure to support the Scientific Computing (SciComp) high performance computing (HPC) and Marketplace for Data and Analytics (MDA) systems. The procurement encompasses contracted support for telecommunications services, annual software costs, Azure cloud costs, electrical costs, and supplies necessary to maintain the computational and data-sharing backbone for APHIS's laboratory network and other MRP Program areas. The solicitation is estimated to release on September 1, 2026, with an estimated award date of June 30, 2026.
The estimated award value ranges from $10,000,000 to $19,000,000 under a Firm Fixed Price purchase order contract awarded through full and open competition. This computing infrastructure procurement will support high-speed data transfer, AI modeling, data visualization, and reproducible scientific outcomes through on-premises HPC clusters and cloud-based analytics platforms with secure data transfer capabilities. Inquiries regarding this opportunity should be directed to Marcus Brown at marcus.t.brown@usda.gov with the United States Department of Agriculture.
Forecast text
SciComp OM Budget which comprises Contracted support telecommunications services annual software costs Azure costs electrical costs and supplies costs. The Scientific Computing (SciComp) high performance computing (HPC) and Marketplace for Data and Analytics (MDA) form the computational and data-sharing backbone for APHISs laboratory network and other MRP Program areas. These systems facilitate high-speed data transfer AI modeling data visualization and reproducible scientific outcomes through on-premises HPC cluster cloud-based analytics platforms and secure data transfer.
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