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Nebius research grants program is a grant from Nebius that funds academic and nonprofit researchers with GPU cloud credits, Token Factory tokens, and Tavily credits to advance computational and AI research.
Eligible applicants include PhD students, postdoctoral researchers, faculty members at accredited institutions leading computational or data-intensive projects, and researchers at accredited academic institutions or nonprofit research organizations. Grant amounts are determined individually based on each proposal's merit.
Projects must have academic or scientific focus with clear objectives, demonstrate innovative use of GPUs for AI, machine learning, data analytics, or HPC, show feasibility and potential impact, and include a transparent resource utilization plan. Recipients may be asked to acknowledge Nebius support publicly and participate in co-marketing activities.
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Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Nebius research grants program GPU cloud credits, Token Factory tokens, Tavily credits Advance your research with us — from model training to agentic search. The exact amount is determined individually based on each proposal. The most exciting work is amplified on Nebius.
Science . Postgraduate students conducting academic research PhD students and postdoctoral researchers Faculty members from accredited academic institutions leading computational or data-intensive projects Researchers from accredited academic institutions or non-profit research organizations Research supported by Nebius The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs.
By Sergey Berezin, Reza Farahbakhsh, Noel Crespi. Learning Elementary Cellular Automata with Transformers CRISPR-GPT for agentic automation of gene-editing experiments By Yuanhao Qu, Le Cong et al. Addressing data scarcity in multilingual fake news detection: an LLM-based dataset augmentation approach By Razieh Chalehchaleh, Reza Farahbakhsh, Noel Crespi.
IHMValidation: Assessment of Integrative Structure Models Deposited to the Protein Data Bank By Arthur O. Zalevsky, Benjamin M. Webb et al.
Project qualification criteria Academic or scientific focus with clear objectives Innovative use of GPUs for AI, machine learning, data analytics or HPC Demonstrated feasibility and potential impact Transparent resource utilization plan Co-marketing: being open to publicly acknowledging Nebius support and joining communications A capable team with relevant research experience Submit your proposal.
We’re now accepting applications for the 2026-2027 academic year. Nebius Academy will review applications throughout summer 2026. Successful applicants will be notified by email in late Q3 to early Q4 2026.
Start using your research credits. Reach out if you need guidance. Let’s stay in touch If my request wasn’t approved, can I apply again next time?
Yes, you can apply again with another research project. Can multiple individuals from the same research proposal apply? If you are working on the same research, only one person from your team can apply.
Credits will be granted to this individual. Can I apply for more credits for the same project? No, you are only eligible to apply one time for the Research Credits Program.
The offer valid for a limited time only. The offer cannot be combined with other promotions, discounts or special offers. Any conditions of this offer are subject to change.
Cloud credits are provided at Nebius’ sole discretion.
Scoring criteria used to review proposals for this grant.
Based on current listing details, eligibility includes: Postgraduate students, PhD students, postdoctoral researchers, and faculty members from accredited academic institutions leading computational or data-intensive projects. Researchers from accredited academic institutions or non-profit research organizations. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies (GPU cloud credits, Token Factory tokens, Tavily credits) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Past winners and funding trends for this program
Academic Grant Program (NVIDIA) is sponsored by NVIDIA. NVIDIA's Academic Grant Program seeks proposals from full-time faculty members at accredited academic institutions who are using NVIDIA technology to advance work in Simulation and Modeling, Data Science, and Robotics and Edge AI. Proposals should incorporate pretrained models from ai.nvidia.com and/or make extensive use of NVIDIA software distributions.
This NOFO provides an opportunity to all FY 2018 NIST SBIR Phase I awardees to submit a Phase II application following completion of Phase I. This NOFO provides instructions for FY 2019 NIST SBIR Phase II application preparation and submission requirements. In Phase II, work from Phase I that exhibits potential for commercial application is further developed. Phase II is the R&D or prototype development phase. To apply for a Phase II award, each Phase I awardee will be required to submit a comprehensive application outlining the proposed research and a detailed plan to commercialize the final product. Each NIST Phase II award is for up to $400,000 and up to a 24-month period of performance. One year after completing the Phase II R&D activity, the awardee shall be required to report on its commercialization activities. Up to an additional $6,500 may be requested for Technical and Business Assistance (TABA); see Section 5.11 for more information about TABA. Funding Opportunity Number: 2019-NIST-SBIR-02. Assistance Listing: 11.620. Funding Instrument: CA. Category: ST. Award Amount: Up to $400K per award.
Local Government Cybersecurity Grant Program (Florida) is sponsored by Florida Digital Service. This Florida state grant program enhances cybersecurity resilience in local governments, with a priority focus on fiscally constrained rural areas. Rather than issuing direct funding, the Florida Digital Service will procure cybersecurity solutions directly on behalf of awarded applicants. The grant supports new or expanded capabilities in preventing, detecting, responding to, and recovering from cyber threats.