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Nebius gives academic researchers free GPU cloud compute, access to AI models through its Token Factory, and credits for Tavily's agentic search engine, plus support from Nebius engineers. Applications are accepted year-round: complete proposals submitted by the last day of a month enter that month's review, with decisions by the end of the following month.
Award size depends on the proposal and on available resources, and credits are released after onboarding. Awardees agree to light co-marketing, such as features on Nebius. Science.
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Or search similar grants →According to the current listing, eligibility includes: Postgraduate and PhD students, postdocs, and faculty or researchers at accredited academic institutions or non-profit research organisations leading computational or data-intensive projects. One applicant per project; each person may apply only once. Confirm the full requirements in the official notice before applying.
Nebius Research Grants Program Providing Free GPU Cloud Credits, Token Factory Access and Tavily Credits for Academic AI Research is funded by Nebius. 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.
Google's Gemma 4 Developer Agent Competition on Kaggle, launched 23 September 2026, challenges entrants to post-train Gemma 4 open models into autonomous coding agents. The agents must run offline on consumer hardware, navigate large codebases and draft fixes for real software issues. Fine-tuning, including LoRA, and reinforcement learning are encouraged, and one submission is allowed per day. The $110,000 prize pool covers a main leaderboard track paying $37,000, $18,000 and $10,000 for the top three. A separate paper track carries $35,000 with its own 12 November 2026 deadline. A $10,000 bonus goes to the best agent built on the smaller Gemma E2B or E4B models. Winning solutions are released under Apache 2.0, and top entries may be featured at a Google-hosted event such as a NeurIPS expo workshop. The entry deadline is 25 November 2026, and final submissions are due 2 December 2026 at 11:59 PM UTC.
The Enveda CASMI 2026 competition on Kaggle is the 2026 Critical Assessment of Small Molecule Identification challenge. It launched on 14 September 2026 and is sponsored by Enveda Therapeutics. Entrants build machine-learning models that predict 2D chemical structures, as SMILES strings, from LC-MS/MS tandem mass spectra of natural products in complex biological extracts. Models must handle both known and novel molecules, going beyond spectral library matching. The stated applications are drug discovery and finding disease biomarkers. The $50,000 prize pool pays $16,000, $12,000, $9,000, $7,000 and $6,000 to the top five teams. Winning solutions are released under the MIT licence, and the data is limited to competition and non-commercial academic use under CC BY-NC 4.0. The entry deadline is 7 December 2026, and final submissions are due 14 December 2026 at 11:59 PM UTC.
The Google for Startups Cloud Program provides Google Cloud and AI compute credits to early-stage companies, with a dedicated AI-first track offering up to 350,000 US dollars in credits to startups building AI-first products, substantially above the up to 200,000 dollars available through the general Scale tier. The programme is a rolling, always-open offering rather than a deadline-driven competition, with applications made through the Google Cloud startups website and decisions returned relatively quickly, which makes it one of the more accessible sources of substantial compute for an AI company without a research affiliation. Eligibility for the AI-first track centres on company age and funding stage rather than on technical merit: the commonly published criteria require the company to have been founded within the last five years and to be at pre-seed or seed stage within five years, or to have raised a Series A within the preceding twelve months, together with an AI-first product. The practical consequence is that this is a window that closes, and an AI company more than a year past its Series A has typically aged out of the largest tier, which argues for applying earlier than a team might otherwise think necessary. Credits are usually accompanied by technical support, training resources and access to Google Cloud's startup technical team. Because terms, tier names and credit amounts are revised periodically and are not always published consistently across Google's pages, applicants should confirm the current offer directly with Google Cloud rather than relying on third-party summaries.