NVIDIA Academic Grant Program - 30,000 H100 GPU Hours
Source: https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program
Description
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+ 1 NVIDIA's Academic Grant Program provides free cloud GPU hours, physical GPU hardware, and software grants to academic researchers at accredited institutions. Depending on your research area, you can receive up to 30,000 NVIDIA H100 80GB GPU hours, up to 8 RTX PRO 6000 GPUs, or up to 2 DGX Spark supercomputers — all at no cost. This is a competitive, proposal-based program with quarterly submission windows. NVIDIA retains no IP rights over your work.
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+ 7 • You must hold a full-time faculty position at an accredited institution that awards research PhDs. Postdocs, students, and adjuncts are not eligible to apply directly.
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+ 8 • Students and postdocs can participate on a funded project, but the PI (principal investigator) must be the applicant.
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+ 9 • Your project must incorporate pretrained models from ai.nvidia.com and/or make extensive use of NVIDIA software distributions (CUDA, cuDNN, RAPIDS, NeMo, Modulus, etc.).
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+ 10 • Submissions accepted worldwide from any accredited institution.
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+ 11 • Previous grant winners must submit results through the program portal before reapplying.
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+ 12 • Only one submission per person per quarter is allowed (maximum four per year).
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+ 13 • Each applicant can receive only one award per calendar year.
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+ 19 The program runs separate Calls for Proposals (CFPs) organized into focus areas. Each area offers different resource packages:
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+ 21 Focus AreaCloud GPU HoursPhysical Hardware
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+ 22 Simulation & Modeling (scientific simulation, quantum computing, physics-informed ML)Up to 30,000 H100 80GB hoursUp to 8 RTX PRO 6000 GPUs
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+ 23 Data Science (data processing, analytics, operational research, graph analytics)Up to 30,000 H100 80GB hoursUp to 2 DGX Spark supercomputers
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+ 24 Robotics & Edge AI (robotics, autonomous vehicles, 5G/6G, smart spaces, federated learning)Up to 30,000 H100 80GB hoursUp to 2 AGX Developer Kits + up to 4 RTX PRO 6000 GPUs
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+ 26 Additional CFPs may cover Generative AI Training & Model Development, Generative AI Alignment & Inferencing, and other emerging topics. Check the program page for currently active CFPs.
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+ 32 1. Go to the NVIDIA Academic Grant Program page and review the currently active Calls for Proposals (CFPs)
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+ 33 2. Download and read the CFP document for your research area — each CFP has specific requirements
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+ 34 3. Download the proposal template — submissions that do not follow the template will be rejected without review
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+ 35 4. Write your proposal addressing: research objectives, methodology, how NVIDIA technology (models from ai.nvidia.com, NVIDIA software) will be used, timeline, and expected outcomes
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+ 36 5. Go to the Academic Grants Portal and create an account or log in
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+ 37 6. Submit your proposal during an active submission window (see timeline below)
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+ 38 7. Wait for the decision — NVIDIA reviews proposals and announces results quarterly
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+ 39
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+ 40 Important:
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+ 41 • Applications are reviewed immediately upon submission — incomplete or non-conforming applications are declined on the spot
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+ 42 • Projects that do not align with the selected CFP will be declined
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+ 43 • Your project timeline must align with the expected GPU hours availability dates
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+ 44 • NVIDIA cannot provide individual feedback on declined proposals due to volume
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+ 45 • Watch the Insider Tips webinar on NVIDIA On-Demand for advice from program reviewers
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+ 51 Submission WindowDecision MonthGPU Hours Available
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+ 52 January 1 – March 31JuneJuly – December 31
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+ 53 April 1 – June 30SeptemberOctober – March 31
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+ 54 July 1 – September 30DecemberJanuary – June 30
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+ 55 October 1 – December 31MarchApril – September 30
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+ 57 GPU hours are available for approximately 6 months after the award decision. Hardware grants ship according to schedules described in the FAQ.
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+ 63 Cloud GPU hours are delivered through Saturn Cloud, a managed ML platform:
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+ 64
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+ 65 1. After your grant is approved, you receive login credentials via email for the Saturn Cloud environment
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+ 66 2. Log in at the provided URL and access JupyterLab or connect via SSH using PyCharm/VSCode
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+ 67 3. Create a Python server resource and select your GPU configuration
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+ 68
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+ 70
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+ 71 ConfigurationvCPUsGPUsMemory
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+ 72 1x A100161256 GB
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+ 73 2x A100322512 GB
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+ 74 4x A1006441,024 GB
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+ 75 8x A10012882,048 GB
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+ 76
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+ 77 Note: The Saturn Cloud configurations shown above use A100 GPUs. H100 hours may be delivered through a different mechanism depending on the specific grant. Confirm GPU type and platform during onboarding.
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+ 78
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+ 79 • Resources auto-shutoff after 1 hour of inactivity to conserve your hours
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+ 80 • You can also create Dask clusters for distributed computing, connect to data sources, and link Git repositories
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+ 86 • No IP claims — NVIDIA has no intention of owning IP developed under the program
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+ 87 • Support letters — NVIDIA can provide letters of support for your external grant applications (e.g., NSF, NIH, ERC)
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+ 88 • GTC networking — opportunities to present at NVIDIA's GPU Technology Conference
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+ 89 • Marketing promotion — potential visibility through NVIDIA channels
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+ 90 • Unrestricted gift — awards are structured as unrestricted gifts to the institution
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+ 96 • Acknowledge NVIDIA Corporation in any resulting publications
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+ 97 • Provide progress updates every six months
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+ 98 • Submit proposals to present research outcomes at GTC or other NVIDIA events
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+ 99 • Submit results through the program portal (required before you can reapply)
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+ 105 • Demonstrate deep knowledge of NVIDIA tools — reviewers look for a clear understanding of how NVIDIA technology (CUDA, NeMo, Modulus, RAPIDS, etc.) will accelerate your research
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+ 106 • Follow the template exactly — non-conforming submissions are rejected without review
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+ 107 • Align tightly with the CFP — generic AI proposals that do not match the specific call will be declined
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+ 108 • Be specific about resource needs — explain why you need the requested GPU hours and how you will use them within the 6-month window
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+ 109 • Check the example proposal — NVIDIA provides a sample high-quality submission on the program portal
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+ 110 • Watch the Insider Tips webinar — it covers common mistakes and advice from actual reviewers
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+ 116 ProgramFor WhomAward
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+ 117 Graduate Fellowship ProgramPhD students (completed 1st year)Up to $60,000 + mandatory summer internship
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+ 118 Applied Research Accelerator ProgramResearchers with deployment-ready projectsTechnical guidance, hardware, and funding
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+ 119 NVIDIA Developer ProgramAny developer or researcherFree access to SDKs, tools, training, and early-access programs
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+ 125 • This is not a self-service program — you cannot simply sign up and get GPU hours. It is a competitive grant with a formal review process and quarterly decision cycles
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+ 126 • Plan ahead — from submission to receiving GPU access can take 3-6 months depending on the quarterly cycle
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+ 127 • Students should work with their advisor — while students cannot apply directly, they can be named as project participants
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+ 128 • Join the NVIDIA Developer Program to get notified about new CFP announcements
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+ 129 • Contact: For grant-specific questions, email AcademicGrants@nvidia.com
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+ 133 Sources:
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+ 134 • NVIDIA Academic Grant Program
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+ 135 • Academic Grants Portal
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+ 136 • Academic Grants FAQ
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+ 137 • NVIDIA Higher Education & Research Resources
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+ 138 • Saturn Cloud NVIDIA Grants Overview
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+ 139 • Insider Tips Webinar
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+ 140 • NVIDIA Graduate Fellowship Program
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+ 141 • University of Utah — NVIDIA Academic Grant Program
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