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Find similar grantsGPU Compute Credits for Builders is sponsored by CloudRift. The CloudRift AI Grant provides $100–$1,000 in GPU credits to train models, build tools, or create tutorials. Projects built with their open-source Emmy ML compiler receive top priority.
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CloudRift AI Grant • GPU Compute Credits for Builders Build Something Powerful. We'll Cover the GPUs. The CloudRift AI Grant provides $100–$1,000 in GPU credits to train models, build tools, or create tutorials.
Projects built with our open-source Emmy compiler get top priority. No strings attached — just mention us when you ship. GPU Access Shouldn't Be a Bottleneck Most AI innovation happens outside big labs — researchers on side projects, indie devs prototyping tools, creators explaining concepts on YouTube.
But compute is expensive. The CloudRift AI Grant gives you $100–$1,000 in credits to rent GPUs by the hour. Projects built with Emmy , our open-source ML compiler, go to the top of the pile — and ML compiler work in general gets a closer look.
In return, mention CloudRift when you publish. Built for Independent AI Builders Building with or contributing to Emmy, our open-source ML compiler. These projects get top priority.
Training models, running experiments, and publishing papers. ML compiler research is a plus. Building libraries, frameworks, and tools for the community.
Prototyping GPU-intensive products and applications. Recording tutorials, demos, and educational content. Exploring generative AI and creative applications.
Three Steps to GPU Credits Fill out a short form. Tell us what you're building, what GPUs you need, and why your project matters. We review applications every two weeks.
Emmy-based projects get priority, ML compiler work is favored, and everything is judged on quality, community value, and fit. Receive $100–$1,000 in credits. Use them for any CloudRift service.
Mention us when you ship. RTX 4090, A100 80GB, V100 32GB. Rent by the hour, no long-term contracts.
Run your own models or use hosted endpoints for fast inference. Credits work like cash. Use them however you need with clear, upfront pricing.
Frequently Asked Questions Who can apply? Anyone building something real with GPUs — researchers, students, indie devs, content creators, or hobbyists. Projects built with our open-source Emmy compiler get top priority.
What kind of projects get approved? Projects with clear community value: open-source tools, research papers, educational content, creative experiments. Anything built with the Emmy compiler is highly encouraged, and ML compiler work in general is a plus.
What is Emmy? Emmy is our open-source ML compiler — it lowers PyTorch graphs to CUDA through six inspectable intermediate representations. Find it at github.
com/cloudrift-ai/emmy. Build with it, benchmark it, or extend it, and your application goes to the top of the pile. Do I need prior work to apply?
Not required, but it helps. A GitHub repo, published paper, or YouTube channel shows you ship. How long does review take?
Two weeks. We notify applicants on the 2nd and 4th Tuesday of each month. What GPUs are available?
Whatever is live in our on-demand console — typically RTX 4090, A100 80GB, and V100 32GB. Availability changes, so check the console for current stock. What's the catch?
None. Just mention CloudRift when you publish your work. Apply for the CloudRift AI Grant Links (GitHub, X, LinkedIn, YouTube, etc.) Project description 3–5 sentences: what you're building, why it matters, what GPUs you need — and whether you're using the Emmy compiler Credit amount requested ($100–$1,000) Link to past work (optional)
According to the current listing, eligibility includes: Researchers on side projects, indie developers prototyping tools, creators explaining concepts on YouTube, or anyone building with AI. Priority for Emmy-based projects and ML compiler work. Confirm the full requirements in the official notice before applying.
The current listing shows $100–$1,000 in GPU credits. Verify award ceilings, matching requirements, and allowable costs in the official notice.
GPU Compute Credits for Builders is funded by CloudRift. 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
CloudRift offers GPU compute credits to independent AI builders working on community-valuable projects. The program supports researchers, open source maintainers, indie developers, content creators, and artists/designers exploring AI workloads on NVIDIA RTX 4090, RTX 5090, and RTX PRO 6000 GPUs. Recipients must acknowledge CloudRift when publishing resulting work. Applications are reviewed biweekly on a rolling basis with no long-term contractual commitments required.
The CloudRift AI Grant provides $100 to $1,000 in GPU credits for AI projects. Credits can be used for on-demand GPU rentals including RTX 4090, RTX 5090, and RTX PRO 6000, as well as LLM inference and hosted endpoints. Applications are reviewed bi-monthly on the 2nd and 4th Tuesday of each month. Recipients are asked to publicly credit CloudRift when publishing results. The program targets researchers, open-source maintainers, indie developers, content creators, and artists exploring AI applications.
The CloudRift AI Grant is a rolling GPU compute credit program providing $100 to $1,000 in cloud GPU credits to independent AI builders, researchers, open-source maintainers, indie developers, content creators, and artists/designers building real projects on GPUs. Recipients can access high-end NVIDIA hardware including RTX 4090s and RTX 5090s. Applications are reviewed every two weeks with notifications on the second and fourth Tuesday of each month. The only requirement is that recipients mention CloudRift when publishing work that used the credits; no equity, milestones, or other strings attached. Prior published work is not required, making the program well-suited to students, hobbyists, and early-stage builders without institutional GPU access.