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"Chan Zuckerberg Initiative Accelerating and Scaling Biological Sciences with AI Request for Applications for GPU Compute Allocations" is currently closed and not accepting applications.
The Chan Zuckerberg Initiative's GPU Compute RFA provides U.S.-based academic and nonprofit research teams with in-kind access to CZI's 1,024 H100 GPU SuperPOD for building large-scale AI/ML foundation models for biological discovery that cannot be created with conventional university resources.
Priority is given to projects aligned with CZI's virtual cell partnership and broader mission to cure, prevent, or manage all diseases by the end of the century. The cluster is optimized for AI/ML training at scale and access is rolling, with reviews conducted on Jan 15, Feb 19, Mar 19, Apr 16, and June 18 (final). All models, code, and weights produced under this award must be openly shared.
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Or search similar grants →According to the current listing, eligibility includes: U.S.-based domestic nonprofit organizations, including universities, hospitals, independent research labs, and government agencies. PIs and Co-PIs must hold faculty or equivalent independent investigator status at U.S. nonprofit institutions. For-profit organizations excluded. Meta employees ineligible. Projects must utilize a minimum of 96 GPUs and commit to open release of code and model weights. Confirm the full requirements in the official notice before applying.
The current listing shows in-kind allocations of computing time on CZI's 1,024 Nvidia H100 GPU NVIDIA DGX SuperPOD cluster (with VAST fast data storage). Minimum allocation request of 96 GPUs per project. No cash funds awarded. Approximate value of a 96-GPU allocation conservatively estimated at $500,000 to $5,000,000 USD depending on duration. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 18, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Chan Zuckerberg Initiative Accelerating and Scaling Biological Sciences with AI Request for Applications for GPU Compute Allocations is funded by Chan Zuckerberg Initiative (CZI). 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.
Humanity AI is a 500,000,000 dollar, five-year pooled fund launched in October 2025 by ten major U.S. foundations, co-led by the MacArthur Foundation, the Ford Foundation and Omidyar Network, to mobilise civil society in shaping how artificial intelligence develops. It is the largest coordinated philanthropic commitment on AI to date. Partner-aligned grantmaking began in autumn 2025 and grants from the pooled fund itself began in 2026, with Rockefeller Philanthropy Advisors serving as fiscal sponsor. This record covers the fund's first open call for grants, which directs 10,000,000 dollars to community-led projects across three issue areas: education, shaping AI around student and educator interests while safeguarding against risks; labor and economy, ensuring AI enhances rather than replaces work and creates inclusive economic opportunity; and the humanities, arts and culture, enhancing creativity while protecting artists' work. The call is notable for two features that distinguish it from most AI philanthropy. First, it explicitly invites applicants who have not typically seen themselves as having a role in shaping AI, naming workers, students, scholars and artists as the constituencies it wants leading proposals, which signals a lower bar on prior AI technical credentials than most AI funds. Second, the fund gives priority consideration to projects using open-weight or open-source AI models over closed-weight models, which is a substantive technical constraint that should shape proposal design rather than a preference to be noted in passing.
The Foresight Institute's AI for Science and Safety Nodes request for proposals funds work at the intersection of accelerating science with AI and making AI systems safe, and it is structured less like a conventional grant than like admission to a research hub. Successful applicants receive a cash grant, typically 30,000 to 100,000 US dollars, together with access to a private compute cluster and office space at Foresight's San Francisco or Berlin nodes. Three focus areas are named: Local Compute, concerning decentralised and locally-run AI capability; Coordination and Accountability, covering mechanisms such as AI insurance and open governance; and AI-First Science across biology, neuroscience and nanotechnology. The programme is deliberately open to individuals, teams and organisations, both non-profit and for-profit, which makes it one of the few credible funding routes for unaffiliated researchers and very small teams working on AI safety and AI-for-science questions that fall outside university and large-foundation structures. Two conditions shape what the award is good for: overhead is capped at 10 per cent of direct research costs, which effectively rules out hosting the work inside a high-indirect-rate university, and all work products including code, data and outputs must be open source. Selection prioritises applicants who will be active in-person contributors at the physical nodes. The application deadline is 31 October 2026 at 23:59 Pacific time, which makes this one of the few AI safety opportunities currently open.