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The AMD University Program's AI and HPC Cluster, operated as part of what AMD has also branded the AMD HPC Fund, gives academic researchers free allocations on compute nodes built from dual AMD EPYC processors paired with AMD Instinct accelerators. Allocations are node-hour based, awarded quarterly against submitted proposals, and successful teams receive cluster access for up to one year.
The programme is explicitly aimed at innovative, impactful, open-source AI and HPC research and education, and that open-source expectation is a real selection criterion rather than boilerplate - proposals that commit to releasing code, models or teaching materials fare better than closed ones.
Eligible applicants are researchers at accredited academic institutions, non-profit research organisations and government laboratories, and AMD accepts proposals from universities and research institutions globally. For AI groups, the strategic value is twofold. First, it is one of the few sources of substantial GPU time that does not require a national-facility allocation process or a cloud budget.
Second, it is ROCm-based rather than CUDA-based, so a group that ports its stack gains portability onto AMD-accelerated national systems - including several of the largest DOE and European machines - which is increasingly where the largest public allocations live. Applications are made through the AMD University Program site; proposal cycles run quarterly with no single annual deadline.
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Or search similar grants →According to the current listing, eligibility includes: Open to researchers at accredited academic institutions, non-profit research organisations and government laboratories, worldwide, where AMD technology could support innovative research or education in AI and HPC. Awards are node-hour based allocations on the AMD University Program AI and HPC Cluster, comprising compute nodes with dual AMD EPYC processors and AMD Instinct accelerators; successful proposals receive cluster access for up to one year. Allocations are awarded quarterly on a rolling proposal cycle, so there is no single annual deadline. Proposals should describe an innovative, impactful, open-source AI or HPC research or educational initiative; the open-source commitment is part of what is assessed. The award is in-kind compute only and does not provide cash for personnel, students, equipment or travel, so it is typically used alongside a conventional research grant. The software environment is ROCm-based rather than CUDA-based, so applicants should budget porting effort if their existing stack is CUDA-dependent. Confirm current proposal deadlines, node configurations, allocation sizes and the application form on the AMD University Program AI and HPC Cluster page before applying. Confirm the full requirements in the official notice before applying.
The current listing shows awards are in-kind node-hour allocations on AMD's AI and HPC research cluster rather than cash, so AMD publishes no dollar figure. amount_min and amount_max are estimated equivalent values: a modest teaching or single-project allocation corresponds to roughly 10,000 US dollars of commercial GPU time, while a year-long allocation for a substantial training-and-inference research programme on dual-EPYC plus Instinct nodes corresponds to on the order of 250,000 dollars. Successful proposals receive cluster access for up to one year, and allocations are awarded quarterly, so a team that misses one cycle waits roughly three months rather than a year. Because nothing is paid in cash, this award cannot cover salaries, students or travel, and is best paired with a conventional research grant that funds people while AMD funds the machines. Verify award ceilings, matching requirements, and allowable costs in the official notice.
AMD University Program AI and HPC Cluster Allocations for Academic Research on Instinct Accelerators (AMD HPC Fund) is funded by AMD (Advanced Micro Devices), AMD University Program. 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 full ASPECT NOFO (DE-FOA-0003647) posted September 4, 2026, eleven days later than the Notice of Intent predicted. The real document splits $58 million across two topic areas with anticipated award counts of 0-7 and 0-3, a cost share that jumps from 20 percent to 50 percent mid-project, a mandatory five-page concept paper due October 9, and a university eligibility restriction that decides team structure before anyone writes a word.
Read articleThe Humana Foundation's first 2026 slate funded 13 nonprofits and five university research teams around senior and veteran emotional health, with awards from $150,000 to $3 million concentrated in Texas, Florida, and Kentucky. A second health equity slate is planned for fall 2026. Here is what the portfolio structure reveals about how this funder decides, and how aging-services and behavioral health organizations should position.
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