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AI Compute Grants is sponsored by Inference. net. Inference.
net's Grant program offers free compute resources to developers and researchers working on open-source AI projects. This includes projects focused on improving LLM inference performance through optimization, hardware acceleration, or novel architectures, and developer tools that make AI development more accessible and productive.
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Or search similar grants →According to the current listing, eligibility includes: Developers and researchers working on open-source AI projects, with a focus on novel applications, performance optimization, or developer tools. Confirm the full requirements in the official notice before applying.
The current listing shows up to $10,000 in free compute resources. Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI Compute Grants is funded by Inference.net. 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.
Past winners and funding trends for this program
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
Nebius Research Grants Program is sponsored by Nebius. The Nebius research grants program provides researchers with free access to GPU cloud, AI models, and Tavily's agentic search engine, along with Nebius' expertise to accelerate discovery and deployment in AI. It supports academic or scientific projects with clear objectives, innovative use of GPUs for AI, machine learning, data analytics or HPC, and demonstrated feasibility and potential impact.
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