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Find similar grantsNational Deep Inference Fabric (NDIF) Project is sponsored by National Science Foundation (NSF). A collaborative research platform to investigate the internal computations of large language models (LLMs) and their societal impacts.
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NSF National Deep Inference Fabric Explore our new Interpretability Platform at Apply to our pilot program now for expanded remote model access via NDIF! See the current NDIF status! NSF National Deep Inference Fabric The NSF National Deep Inference Fabric is a research computing project that will enable us to crack open the mysteries inside large-scale Artificial Intelligence systems.
Powerful large-scale Artificial Intelligence (AI) systems such as Large Language Models (LLMs) herald a new era of AI that is poised to reshape society, but scientists cannot explain their predictions . The NSF National Deep Inference Fabric (NDIF) is a research computing project that will enable researchers and students to crack open the mysteries inside these enormous neural networks.
Because large-scale AI systems are trained automatically using massive amounts of data—instead of being designed line-by-line by a programmer—the internal workings of the current generation of AI are inscrutable to humans. Understanding how these systems work is an emerging science.
But performing science on the internals of such large-scale AI systems requires substantial computational resources that are not practical at institutional scale, because the infrastructure required to study the detailed computations of AI differs from the computing systems used for ordinary commercial deployment of AI.
NDIF addresses this critical need by creating a unique nationwide research computing fabric that enables scientists to perform transparent and reproducible experiments on the largest-scale open AI systems. NDIF will advance our nation’s understanding of the capabilities of large-scale AI systems, as well as their limitations, robustness, safety issues, and impacts on human society. What is a Deep Inference Fabric?
A deep inference fabric is a high-performance computing fabric designed to support scientific experiments on running AI systems. The NSF National Deep Inference Fabric consists of a unique combination of hardware and software that provides a remotely-accessible computing resource for scientists and students to perform detailed and reproducible experiments on large pretrained AI models, such as open large language models.
grant from the National Science Foundation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the leadership of NDIF and do not necessarily reflect the views of the National Science Foundation.
According to the current listing, eligibility includes: Universities, Research Institutions, Nonprofits. Confirm the full requirements in the official notice before applying.
The current listing shows $9,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
National Deep Inference Fabric (NDIF) Project is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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