1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
NVIDIA's Academic Grant Program is the company's compute-grant channel for university researchers, and it is distinct from both NVIDIA Inception, which serves startups, and the NVIDIA Graduate Fellowship, which funds individual PhD students.
What it awards is compute and hardware rather than money: typical allocations run to 30,000 NVIDIA H100 80 GB GPU-hours, or up to eight NVIDIA RTX PRO 6000 GPUs, with DGX Cloud credits available through NVIDIA's cloud platform.
The current AI Inference, Agents and Systems Software call bundles two NVIDIA DGX Spark systems with up to 30,000 H100 hours, which is a substantial allocation for a group whose bottleneck is inference-scale experimentation rather than headline pretraining runs. The submission model rewards planning.
Applications are accepted on a rolling basis with no single fixed deadline, but they are batched into four quarterly review cycles - Q1 submissions decided in June, Q2 in September, Q3 in December and Q4 in March - so a proposal arriving just after a cut-off waits a full quarter for a decision.
Individual calls for proposals may carry their own dates; the interest-area call referenced a 30 June proposal deadline with decisions in September.
Eligibility is limited to academic researchers affiliated with accredited institutions, and NVIDIA is explicit that applications not adhering to the proposal template for the relevant call will not be reviewed - so applicants must read the specific CFP rather than submitting a generic request. For groups priced out of commercial GPU rental, this is one of the more accessible routes to significant accelerated compute.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: Eligible applicants are academic researchers affiliated with accredited academic institutions. Applicants must read the specific call for proposals (CFP) relevant to their research area and follow its proposal template; NVIDIA states that applications which do not adhere to the required template will not be reviewed. Awards are made as compute and hardware rather than cash, and typical allocations include up to 30,000 NVIDIA H100 80 GB GPU-hours, up to eight NVIDIA RTX PRO 6000 GPUs, or - under the AI Inference, Agents and Systems Software call - two NVIDIA DGX Spark systems together with up to 30,000 NVIDIA H100 80 GB hours, plus cloud computing credits through the NVIDIA DGX Cloud platform. Applications are accepted on a rolling basis with no single fixed deadline, but are reviewed in four quarterly cycles: Q1 submissions are decided in June, Q2 in September, Q3 in December and Q4 in March. Individual interest-area calls may set their own dates - one referenced a 30 June proposal deadline with award decisions expected in September - so applicants should check the current CFP for the applicable schedule and time submissions to avoid waiting a full quarter for review. This programme is separate from NVIDIA Inception, which serves startups, and from the NVIDIA Graduate Fellowship Program, which supports individual PhD students; researchers should apply to the channel matching their institutional status. Confirm the full requirements in the official notice before applying.
The current listing shows awards are made in compute rather than cash. Typical allocations are up to 30,000 NVIDIA H100 80 GB GPU-hours, or up to eight NVIDIA RTX PRO 6000 GPUs, or - for the AI Inference, Agents and Systems Software call - two NVIDIA DGX Spark systems plus up to 30,000 H100 80 GB hours, along with DGX Cloud credits. Valued at commercial on-demand H100 rates of roughly USD 2 per GPU-hour, a 30,000-hour allocation is worth approximately USD 60,000; amount_min of USD 25,000 reflects smaller hardware-only allocations. Both figures are derived valuations of in-kind compute, not published cash amounts. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NVIDIA Academic Grant Program for Researchers Providing H100 GPU Hours, RTX PRO 6000 Systems and DGX Cloud Credits is funded by NVIDIA Corporation. 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.
The Merck Stimulating Innovative Research Grant Program 2026 includes a dedicated grant topic for artificial intelligence in cell culture media and process development, offering up to EUR 150,000 per year for up to 3 years. The program accelerates innovation through collaborative research, early engagement with industry experts, and translation of novel ideas into practical solutions. In 2026, priority areas also include in-vitro models for neuroinflammatory diseases (EUR 250,000/year for 2 years) and innovative approaches to contaminated materials remediation (EUR 150,000/year for 2 years). The two-stage application process begins with non-confidential submissions, followed by deep-dive workshops where finalists collaborate with Merck scientists and managers to jointly optimize proposals. The AI-specific grant focuses on applying machine learning and AI to optimize cell culture media formulation, bioprocess parameter optimization, and manufacturing quality control.
The Sony Research Award Program is Sony's principal channel for funding external academic research, and the Focused Research Award is its collaborative track: up to 150,000 dollars for focused joint research between a university or research institute and Sony. The 2026 research areas are unusually broad for a corporate program and cover most of the modern AI stack alongside Sony's hardware interests - AI and large language models, computer vision, machine learning, robotics, human-computer interaction, affective computing, speech and language technologies, audio technologies, RF sensing, wireless communications, cybersecurity, sports technology, digital humans, generative AI, content creation and neural rendering, plus device-level areas including MicroLED and optical metasurfaces. For AI and robotics groups this makes it one of the wider corporate calls available, though the breadth is deceptive: Sony funds work that connects to its own research agenda, and proposals are strongest when there is an identifiable Sony research counterpart for the collaboration. Eligibility is tightly drawn around the principal investigator rather than the institution. The PI must be a full-time faculty member or researcher at a recognized institution - Assistant Professor, Associate Professor, Professor or equivalent researcher - and must be able to supervise PhD students. Co-PIs are permitted but must be from the same institution and meet the same requirements, which rules out the cross-institutional consortia common in public funding. The 2026 deadline is 15 September 2026 at 11:59pm Pacific, with a separate India-specific time given as 16 September 2026. Submission guidelines are on the Sony Research Award Program site.
The Meta Research PhD Fellowship supports doctoral students conducting research in areas central to Meta's technical agenda, with several of its annual award tracks dedicated to artificial intelligence and machine learning. Current AI-relevant tracks include AI System Hardware/Software Co-Design (high-performance AI algorithms spanning model compression, numerical optimization, benchmarking, and distributed inference and training), Applied Statistics (bias and variance estimation and correction in models and datasets, uncertainty quantification), AR/VR Human Understanding (efficient ML techniques that run on AR/VR devices), and Programming Languages (program synthesis, probabilistic and differentiable programming). Recipients receive two years of paid tuition and fees, a $42,000 annual stipend covering living expenses and conference travel, and a paid visit to Meta headquarters for the annual Fellowship Summit; the award carries no intellectual property claim on the student's research. The 2027 cycle opened August 3, 2026 with applications closing September 20, 2026, reference letters due in October 2026, and winners notified in January 2027.
NSF 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 articleThe OMAI project — led by AI2, funded by NSF and NVIDIA — will create fully open multimodal AI models for scientific research. For researchers priced out of commercial AI, this changes the equation.
Read article