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View full policyA GPU compute cluster for biomedical foundational models
About This Grant
Project Summary/Abstract The Athinoula A. Martinos Center for Biomedical Imaging, a core facility of the Massachusetts General Hospital (MGH), conducts cutting-edge research across all domains of biomedical image acquisition and analysis. It provides advanced technologies and computational resources to researchers from institutions throughout the Boston area and the northeastern United States, including the Massachusetts Institute of Technology (MIT), Harvard University, Boston University, Tufts University, and many Harvard- and MIT-affiliated research hospitals. Research at the Martinos Center pursues two primary goals: (1) advancing imaging technologies and analytical methods, along with their integration with complementary fields such as human genetics, and (2) applying these tools to drive basic science and translational research that ultimately improves clinical care. The Center’s combined expertise makes it an international leader in structural and functional magnetic resonance imaging (MRI) and spectroscopy (MRS), magnetoencephalography (MEG) and electroencephalography (EEG), near-infrared spectroscopy (NIRS), diffuse optical tomography (DOT), and positron emission tomography (PET). These imaging modalities generate a vast volume of data daily, fueled by numerous NIH-funded projects. To analyze these data, investigators at the Martinos Center develop and deploy advanced computational tools for image processing, machine learning, and visualization. As these activities create an extraordinary computational demand, this application requests funding for a new, state-of- the-art high-performance computing (HPC) system to support the Center’s needs for years to come, offering substantial improvements in performance and reliability over the aging computational resources, which is becoming a bottleneck for innovation. The new system will enhance research at the Martinos Center by enabling the development and maintenance of optimization-based and deep-learning methods for biomedical image analysis, the design and evaluation of novel image acquisition protocols, as well as large-scale morphometric, multimodal, and population-level analyses. This HPC infrastructure will be a critical asset for the Center's expanding research community and its continued leadership in advancing biomedical imaging science.
Grant Summary
A GPU compute cluster for biomedical foundational models is a OD - NIH Office of the Director grant providing up to $2.0M for university, nonprofit, healthcare org. Applications are due 2027-07-14 (open). Check eligibility and apply with FindGrants.
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Focus Areas
Eligibility
How to Apply
Up to $2.0M
2027-07-14
- 1Confirm your organization is eligible for A GPU compute cluster for biomedical foundational models from OD - NIH Office of the Director, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to OD - NIH Office of the Director before the deadline.
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A GPU compute cluster for biomedical foundational models: Frequently Asked Questions
Who is eligible for the A GPU compute cluster for biomedical foundational models?
A GPU compute cluster for biomedical foundational models is offered by OD - NIH Office of the Director and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the A GPU compute cluster for biomedical foundational models provide?
A GPU compute cluster for biomedical foundational models provides up to $2.0M per award from OD - NIH Office of the Director. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the A GPU compute cluster for biomedical foundational models deadline?
Applications for A GPU compute cluster for biomedical foundational models are due 2027-07-14 (open). Because deadlines can change, verify the date with the funder, OD - NIH Office of the Director, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the A GPU compute cluster for biomedical foundational models?
To apply for A GPU compute cluster for biomedical foundational models, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from OD - NIH Office of the Director.