DRDRI Gardian Server Hardware Infrastructure
Past New Requirement Updated
- Agency
-
National Institutes of Health
Department of Health and Human Services
- Solicitation expected
- Estimated value
- $250,000 to $700,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 334111 Electronic Computer Manufacturing
- Points of contact
Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The Department of Health and Human Services' National Institutes of Health (NIH) forecasts a new requirement, the DRDRI Gardian Server Hardware Infrastructure, for a graphics processing unit-based computing platform with estimated solicitation release and award dates both on 2026-07-01. The acquisition covers computing hardware, storage, networking components, installation, configuration, warranty, and support services to integrate the platform into the existing NIH infrastructure, serving the National Center for Advancing Translational Sciences (NCATS) for rare disease research, patient-trial matching, biomedical question-answering, and document extraction. The platform must run advanced artificial intelligence models, process large biomedical datasets, and let multiple research teams share one computing resource.
The estimated award value range is $250,000 to $700,000, with no set-aside used and NAICS 334111, Electronic Computer Manufacturing, assigned. Justin Borden, Contract Specialist, is the primary point of contact at justin.borden@nih.gov or +13014809887, with Nam Ngo as a secondary contact at nam.ngo@nih.gov.
Forecast text
The National Center for Advancing Translational Sciences requires additional high-performance computing capacity to support the development, deployment, and operation of artificial intelligence tools used in rare disease research, biomedical knowledge extraction, clinical trial matching, and scientific information discovery. Existing computing resources are insufficient to support the growing number of artificial intelligence applications being developed and operated within the National Institutes of Health computing environment. The requested acquisition will provide a modern graphics processing unit-based computing platform capable of running advanced artificial intelligence models, processing large biomedical datasets, supporting machine learning evaluation and testing, and enabling multiple research teams to share a common computing resource. The system will support current initiatives, including patient-trial matching, biomedical question-answering systems, document extraction and analysis, and future research projects. The acquisition includes the computing hardware, storage, networking components, installation, configuration, warranty, and support services necessary to integrate the platform into the existing National Institutes of Health infrastructure. This investment will reduce reliance on external cloud computing services, improve performance and reliability, protect federal investments in existing research systems, and provide a scalable foundation for future biomedical artificial intelligence capabilities.
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