Trelis AI Grants (up to $500)

Free GPU & Compute | Amount: Up to $500 per quarter (grant, equity-free); optional $10,000 SAFE investment track requires incorporation | AI-generated | 3/5 MediumRequires application or form — typically accepted active
2026-05-09
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Source: https://trelis.com/trelis-ai-grants

Description

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+ 1 Trelis Research runs a small, founder-friendly grant program awarding up to $500 per quarter (equity-free) to individuals who are pushing forward the practical use of open AI models — training, fine-tuning, inferencing, or building tooling around model deployment. Applications are rolling, decisions land within ~30 days, and selected applicants get a 15-minute interview before the grant is paid out. There is also an optional adjacent track: a $10,000 SAFE investment for projects that want capital and are willing to incorporate (Delaware C Corp preferred).

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+ 2  

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+ 3 This is one of the lowest-friction "real-money" grants you can get as a solo builder: no PhD, no VC backing, no university affiliation, no specific country — just a GitHub/GitLab account and a project that actually moves open AI forward.

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+ 4  

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+ 5

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+ 6  

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+ 7 Is this for me?

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+ 8  

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+ 9 Yes, if you are:

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+ 10 • A solo builder, indie researcher, student, or hobbyist working on open-source AI.

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+ 11 • Someone who trains or fine-tunes open models (Llama, Qwen, Mistral, DeepSeek, etc.).

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+ 12 • Building inference tooling (servers, quantization, throughput tricks, eval harnesses, RAG pipelines, agent frameworks).

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+ 13 • Publishing reproducible work — code on GitHub/GitLab, models on HuggingFace, write-ups on a blog or Substack.

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+ 14 • Comfortable doing a 15-minute call in English.

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+ 15  

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+ 16 Probably not for you, if:

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+ 17 • Your project is closed-source with no public artefacts.

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+ 18 • You are pitching a pure SaaS wrapper around a closed API (no model work, no novel tooling).

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+ 19 • You need >$500 of compute right now — this is a small grant, not a research budget. Pair it with Prime Intellect Fast Compute Grants ($500–$100K) or Lambda Research Grants for serious training runs.

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+ 20  

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+ 21

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+ 22  

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+ 23 Registration (Step-by-Step)

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+ 24  

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+ 25 1. Go to trelis.com/trelis-ai-grants.

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+ 26 2. Read the page in full — it explicitly lists what qualifies (training, fine-tuning, inferencing, deployment tooling).

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+ 27 3. Click the application form link on the page.

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+ 28 4. Fill out the form. Expect to be asked for:

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+ 29 • Your name, email, country.

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+ 30 GitHub or GitLab profile (this is mandatory — no GH/GL, no grant).

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+ 31 • A short description of your project and how it advances open AI models.

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+ 32 • Whether you want a grant (up to $500, no equity) or investment (~$10K SAFE, requires incorporation).

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+ 33 • How you would use the money (compute, hardware, subscriptions, time).

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+ 34 5. Wait up to 30 days — Trelis commits to responding within 30 days of submission.

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+ 35 6. If shortlisted, you'll be emailed to schedule a 15-minute interview on a rolling basis throughout the quarter.

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+ 36 7. Successful candidates get a grant offer. Choose payout method:

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+ 37 Bank transfer to 190+ countries (preferred, lowest fees).

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+ 38 PayPal or Stripe invoice.

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+ 39 RunPod GPU credits as a last resort if banking/PayPal isn't viable in your region.

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+ 40  

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+ 41 Important:

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+ 42 • Grants are awarded per quarter ($500 cap per quarter), so timing matters — apply early in the quarter for best odds.

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+ 43 • The 30-day window is the maximum wait; many applicants hear back faster.

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+ 44 • The interview is short (15 min) and informal — it's a sanity check, not a Y Combinator pitch.

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+ 45 • You keep 100% of your IP. Trelis explicitly states it "does not claim any rights to the work being done by the grantee."

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+ 46  

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+ 47

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+ 48  

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+ 49 What Counts as "Advancing Open AI Models"?

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+ 50  

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+ 51 Trelis defines this broadly. Eligible work includes:

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+ 52  

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+ 53 AreaExamples

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+ 54 TrainingPretraining experiments on open architectures, novel optimizers, dataset curation pipelines, small-scale reproductions of papers.

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+ 55 Fine-tuningLoRA / QLoRA / full fine-tunes of Llama/Qwen/Mistral/etc., domain adapters, instruction-tuning datasets, RLHF/DPO/GRPO pipelines.

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+ 56 InferencingQuantization (GGUF, AWQ, GPTQ), speculative decoding, batched inference servers, edge/CPU inference, throughput optimization.

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+ 57 Deployment toolingServing frameworks, model routers, observability for OSS models, evaluation harnesses, agent frameworks built on open models.

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+ 58  

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+ 59 If your project would land naturally in r/LocalLLaMA, on the HuggingFace trending tab, or in the Trelis YouTube channel's audience — it's a fit.

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+ 60  

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+ 61

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+ 62  

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+ 63 Grant vs Investment Track

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+ 64  

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+ 65 Trelis runs two parallel tracks on the same form:

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+ 66  

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+ 67 Grant ($500, no strings)

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+ 68 • Equity-free.

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+ 69 • No incorporation needed.

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+ 70 • Paid to an individual.

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+ 71 • Public announcement (with your permission) of name + 280-char summary + 500-word write-up.

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+ 72  

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+ 73 Investment (~$10,000 SAFE)

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+ 74 • Requires you to incorporate within 30 days (Delaware C Corp strongly preferred).

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+ 75 • Standard SAFE structure.

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+ 76 • Better fit if you're turning the project into a company; overkill for a side project.

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+ 77  

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+ 78 Most solo builders should apply for the grant unless you already have company-building intent.

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+ 79  

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+ 80

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+ 81  

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+ 82 Reporting Requirements

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+ 83  

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+ 84 If you receive a grant, you must submit:

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+ 85 Title of the project.

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+ 86 280-character tweet-style summary.

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+ 87 500-word project summary.

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+ 88  

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+ 89 Trelis may publicly announce your name and summaries (with your permission). They don't claim rights to your code, models, or data.

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+ 90  

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+ 91

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+ 92  

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+ 93 What's the Catch?

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+ 94  

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+ 95 It's only $500. Treat it as a "thank you / runway extender", not a serious compute budget. $500 buys you ~50–100 hours on a single H100 on the cheap providers, or a few months of a Pro subscription, or a chunk of a fine-tuning run.

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+ 96 Quarterly cap. Trelis only funds a small handful of grants per quarter — if your application is borderline, expect to wait or re-apply next quarter.

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+ 97 GitHub/GitLab is mandatory. No public code history → very hard sell.

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+ 98 Interview is required. Asynchronous-only applications won't be funded.

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+ 99 No restrictions on use of funds, but Trelis clearly favors compute, hardware, and subscriptions that directly produce open artefacts.

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+ 100  

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+ 101

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+ 102  

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+ 103 Tips for a Strong Application

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+ 104  

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+ 105 Link a concrete repo or HuggingFace model, not a landing page or pitch deck.

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+ 106 Be specific about what the $500 unlocks — "30 hours on an H100 to fine-tune Qwen2.5-7B on dataset X" beats "compute for experiments".

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+ 107 Show momentum — a half-finished project with commits in the last month beats a polished idea with no code.

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+ 108 Pick the grant track unless you're genuinely company-building.

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+ 109 Apply early in the quarter (Jan / Apr / Jul / Oct) to maximise the chance the quarterly slot is still open.

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+ 110 Watch the Trelis Research YouTube channel to calibrate the kind of work that resonates with Ronan (the founder) — practical, reproducible, OSS-first.

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+ 111  

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+ 112

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+ 113  

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+ 114 Additional Tips

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+ 115  

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+ 116 • The grant is global — no country restriction, no tax-residency requirement. Bank transfers reach 190+ countries.

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+ 117 • If you're in a country where USD bank transfers are painful, PayPal/Stripe or RunPod credits are explicit fallbacks.

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+ 118 • Pair this grant with bigger compute programs if you need scale: Prime Intellect Fast Compute Grants, Lambda Research, Nebius Research Credits, TensorWave OSS Developer Program.

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+ 119 • The most recent grant cohort listed on the page is 1Q2026, so the program is confirmed active as of May 2026.

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+ 120  

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+ 121

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+ 122  

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+ 123 Sources:

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+ 126 Trelis Research YouTube

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