Exxact - Valence Workstation for Laboratory of Neuroimaging (LNI)
Past New Requirement Updated
- Agency
-
National Institutes of Health
Department of Health and Human Services
- Solicitation expected
- Estimated value
- $25,000 to $250,000
- Set-aside
- Total Small Business
Forecast facts
- Anticipated award
- NAICS code
- 334111 Electronic Computer Manufacturing
- Points of contact
-
- Sung Won Kim sunny.kim@nih.gov
- Kimesha Leake kimesha.leake@nih.gov
Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The National Institutes of Health plans to release a solicitation on June 1, 2026 for the Exxact Valence Workstation VWS-135223847, procuring it for the NIAAA Laboratory of Neuroimaging with award estimated July 1, 2026. The dedicated high-performance computing system will support molecular dynamics, neuroimaging, and in-silico drug discovery workflows, with a multi-core CPU and extensive GPU resources enabling parallel processing, multi-user access, and accelerated simulations for long-duration MD simulations, virtual screening, and AI-driven data analysis. The forecast is a new requirement set aside for Total Small Business under NAICS 334111, Electronic Computer Manufacturing.
The estimated award value range is $25,000 to $250,000. Points of contact are Sung Won Kim, Senior Associate Scientist (sunny.kim@nih.gov), and Kimesha Leake, Contracting Officer (kimesha.leake@nih.gov), both at the National Institutes of Health.
Forecast text
Procurement of the Exxact Valence Workstation VWS-135223847 is critical to advancing the research capabilities of the NIAAA Laboratory of Neuroimaging. This dedicated high-performance computing (HPC) system will fill an essential technological gap, enabling the lab to perform complex molecular dynamics, neuroimaging, and in-silico drug discovery workflows that are currently constrained by inadequate infrastructure. Without this workstation, the laboratory risks significant setbacks in research continuity, data analysis throughput, and scientific innovation.
The importance of this procurement lies in its capacity to sustain and accelerate ongoing and future research projects aligned with NIAAA's mission. High-performance simulations, modeling, and data analyses require computational architectures that surpass standard desktop capabilities. The proposed workstation's multi-core CPU and extensive GPU resources will support parallel processing, multi-user access, and accelerated simulations, which are vital for tasks such as long-duration MD simulations, virtual screening, and AI-driven data analysis. These capabilities are indispensable for producing high-quality, reproducible scientific results in a timely manner.
The absence of this hardware would result in substantial scientific and operational losses. Critical studies-such as neuroimaging analysis, addiction research, and neurophysiological modeling-would face delays, limiting the lab's ability to generate novel insights and publish impactful findings. Additionally, the lab would need to rely more heavily on external computing resources, increasing costs, reducing data security, and risking delays due to network bottlenecks. This could compromise research integrity and the competitiveness of NIAAA's scientific output.
Furthermore, without the workstation, the lab's capacity for innovative approaches-such as AI-driven predictive modeling and high-throughput virtual screening-would be severely hampered. This would diminish the lab's ability to contribute to cutting-edge biomedical research, hinder collaborative efforts, and slow the translation of scientific discoveries into clinical applications.
In summary, procuring this workstation is essential for maintaining research continuity, enhancing computational efficiency, and supporting the lab's critical role in advancing neuroimaging, molecular modeling, and drug discovery. The investment ensures that the NIAAA Laboratory remains at the forefront of biomedical research, and not procuring it risks significant scientific, operational, and strategic setbacks, ultimately impeding progress toward understanding and treating alcohol-related disorders.
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