1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
"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.
Get alerted about grants like this
Get emailed when new opportunities from “Chan Zuckerberg Initiative (CZI)” or related funders appear. Free, weekly, unsubscribe anytime.
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.
Schmidt Sciences' AI in Science and Society initiative funds development of innovative AI tools that accelerate progress in engineering, physical sciences, and complex system design while also examining AI's societal implications. Funded scope includes domain-adapted foundation models for engineering and physical sciences, generative AI for materials discovery and molecular design, AI for complex system simulation and control, autonomous experimental platforms, and interdisciplinary projects bridging AI methods with deep scientific domains. The program also supports work on the societal context of scientific AI including responsible release, equitable access, and human-AI collaboration in scientific practice.
The AI2050 Early Career Fellows program supports bold and ambitious work on difficult challenges as well as promising opportunities in AI. Fellows receive funding plus non-monetary support, such as connections to stakeholders to help them amplify impact. The program selects 15-20 early-career researchers around the world annually through a rigorous process. Research is framed by the central question: 'It's 2050. AI has turned out to be hugely beneficial to society. What happened?' Recent cohorts have included researchers across computer science, philosophy, economics, political science, earth sciences, and humanities working on AI safety, AI policy, fairness, AI for science, sociotechnical AI, and human-AI interaction. The 2025 round awarded $18M across 25 fellows.