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National Supercomputer Deployment for AI and Research Computing is sponsored by National Science Foundation (NSF). This grant supports the deployment of high-performance, energy-efficient computers designed for AI research and other scientific fields requiring significant memory and computing power. The goal is to make these resources widely available to researchers, students, and educators.
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Stony Brook University Receives $13. 77M NSF Grant to Deploy a National Supercomputer to Democratize Access to Artificial Intelligence and Research Computing - SBU News Facebook Twitter Pinterest LinkedIn Email Stony Brook University Receives $13.
77M NSF Grant to Deploy a National Supercomputer to Democratize Access to Artificial Intelligence and Research Computing Grant Includes Collaboration with the University at Buffalo Professor Robert Harrison STONY BROOK, NY – September 16, 2025 – The U.S. National Science Foundation (NSF) has awarded a $13.
77 million grant to Stony Brook University’s Institute for Advanced Computational Science (IACS) , in collaboration with the University at Buffalo. The award titled, Sustainable Cyber-infrastructure for Expanding Participation , will deliver cutting-edge computing and data resources to power advanced research nationwide.
This funding will be used to procure and operate a high-performance, highly energy-efficient computer designed to handle the growing needs of artificial intelligence research and other scientific fields that require large amounts of memory and computing power.
By making this resource widely available to researchers, students, and educators across the country, the project will expand access to advanced tools, support groundbreaking discoveries, and train the next generation of scientists.
The new system will utilize low-cost and low-energy AmpereOne® M Advanced Reduced Instruction Set Computer (RISC) Machine processors that are designed to excel in artificial intelligence (AI) inference and imperfectly optimized workloads that presently characterize much of academic research computing. Multiple Qualcomm® Cloud AI inference accelerators will also increase energy efficiency, enabling the use of the largest AI models.
The AmpereOne® M processors, in combination with the efficient generative AI inference performance and large memory capacity of the Qualcomm Cloud AI inference accelerators, will directly advance the mission of the NSF-led National Artificial Intelligence Research Resource (NAIRR). This is the first deployment in academia of both of these technologies that have transformed computing in the commercial cloud.
The new IACS-led supercomputer will efficiently execute diverse workloads in an energy- and cost-efficient manner, providing easily accessible, competitive and consistent performance without requiring sophisticated programming skills or knowledge of advanced hardware features.
“This project employs a comprehensive, multilayered strategy, with regional and national elements to ensure the widest possible benefits,” said IACS director Robert J. Harrison.
“The team will collaborate with multiple initiatives and projects, to reach a broad audience that spans all experience levels from high school students beginning to explore science and technology to faculty members advancing innovation through scholarship and teaching.
” “The University at Buffalo is excited to partner with Stony Brook on this new project that will advance research, innovation and education by expanding the nation’s cyber-infrastructure to scientific disciplines that were not high performance computing-heavy prior to the AI boom, as well as expanding to non-R1 universities, which also didn’t have much of high-performance computing usage in the past,” says co-principal investigator Nikolay Simakov, a computational scientist at the University at Buffalo Center for Computational Research.
“AmpereOne® M delivers the performance, memory and energy footprint required for modern research workloads—helping democratize access to AI and data-driven science by lowering the barriers to large-scale compute,” said Jeff Wittich, Chief Product Officer at Ampere.
“We look forward to working with Stony Brook University to integrate this platform into research and education programs, accelerating discoveries in genomics, bioinformatics and AI.
” “Qualcomm Technologies is proud to contribute our expertise in high-performance, energy-efficient AI inference and scalable Qualcomm Cloud AI Inference solutions to this groundbreaking initiative,” said Dr. Richard Lethin, VP, Engineering, Qualcomm Technologies, Inc. “Our technologies enable seamless integration into a wide range of applications, enabling researchers and students to easily leverage advanced AI capabilities.
” Nationally and regionally, this funding will support a variety of projects, with an emphasis on fields of research that are not targeted by other national resources (e.g., life sciences and computational linguistics). In particular, the AmpereOne® M system will excel on high-throughput workloads common to genomics and bioinformatics research, AI/ML inference, and statistical analysis, among others.
To help domain scientists achieve excellent performance on the system, software applications in these and related fields will be optimized for Ampere hardware and made readily available. This award reflects NSF’s statutory mission and that this initiative has been deemed worthy of support through evaluation using the foundation’s intellectual merit and broader-impacts review criteria.
The awarded funds are primarily for purchase of the supercomputer and first year activities, with additional funds to be provided for operations over five years, subject to external review. About the U.S. National Science Foundation (NSF) The U.S. National Science Foundation (NSF) is an independent federal agency that supports science and engineering in all 50 states and U.S. territories.
NSF was established in 1950 by Congress to: Promote the progress of science. Advance the national health, prosperity and welfare. Secure the national defense.
NSF fulfills its mission chiefly by making grants. NSF’s investments account for about 25% of federal support to America’s colleges and universities for basic research: research driven by curiosity and discovery. They also support solutions-oriented research with the potential to produce advancements for the American people.
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Study Aims to Prevent PTSD in Emergency Responders Stony Brook Medicine leads multisite collaborative resilience training program for firefighters and EMS workers supported by a $3. 3 million NIMH grant STONY BROOK, NY, November 20, 2025 – First responders face many...
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Based on current listing details, eligibility includes: U. S. -based researchers, students, and educators, often through academic institutions and collaborations. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Funding amounts vary based on project scope and sponsor guidance. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
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Agricultural Technologies (AG) - NSF SBIR/STTR is sponsored by National Science Foundation (NSF). The Agricultural Technologies topic supports innovations enabling farm production ecosystems that support the proper utilization of natural resources. Such technologies may encompass systems-level and multidisciplinary solutions to enable complex agricultural practices that support increased biodiversity balanced with yield production. Sub-topics include food waste mitigation, resilient supply & distribution, and other agricultural technologies.
Fire Science Innovations through Research and Education (FIRE) program is sponsored by National Science Foundation (NSF). This program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. It supports research that can inform risk management and response, adaptation, and resilience across infrastructures, communities, cultures, and natural environments. Relevant topics include developing novel materials and methods for retrofitting existing buildings and remediating buildings following wildfire and smoke events.
NSF ADVANCE program is sponsored by National Science Foundation (NSF). The NSF ADVANCE program aims to broaden the implementation of evidence-based systemic change strategies that promote equity for STEM faculty in academic workplaces and the academic profession. The program provides grants to enhance systemic factors that support equity and inclusion and to mitigate systemic factors that create inequities in the academic profession and workplaces.
Digital Cities' Innovation Accelerator Small Grant Program is sponsored by U.S. State Department's Bureau of Cyberspace and Digital Policy (CDP). These small grants activate the private sector to deliver novel and innovative solutions to civic challenges. Projects must address a sub-national public service or infrastructure need AND incorporate trusted U.S. digital based solutions, empowering municipalities to improve public service delivery.
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
AWS Imagine Grant program - Momentum to Modernize Award is sponsored by Amazon Web Services (AWS). This award provides funding for transformational infrastructure projects, helping nonprofit organizations enhance their core mission operations with technology. This includes foundational technology projects, such as migrating servers to the cloud and modernizing new and existing applications.