Live Now Grants for Bold Ideas and New-Wave AI Projects
For the vibers cooking the next chapter of decentralized AI, backed by $5,000-$50,000 in funding!
Grants Program Timeline: How to participate
A quick look at the journey from application to grant decision.
Application Open
Submit your project at any time. Applications are open year-round. Include your project overview, roadmap, team details, and how you plan to use Nosana compute.
Review Period
Your application is evaluated within ~2 weeks by the Grants Committee using a structured rubric. If needed, the committee may request clarification on milestones, technical approach, or compute usage.
Decision & notification
You'll receive an email with the outcome. Accepted teams proceed to milestone confirmation and onboarding. Teams not selected receive feedback and may reapply in a future cycle. This step may also involve community governance as part of the process.
Build & Milestone Delivery
Teams work on their AI project using Nosana GPUs and deliver milestone outputs. The Foundation verifies milestone completion before releasing the next tranche.
Post-Launch Support
Approved projects may receive optional post-launch support, including marketing visibility across Nosana's website and social channels.
Who Belongs in This Builder Wave
Developers and AI/ML builders
Open-source contributors
Early-stage startups (Web2 and Web3)
Academic researchers
Scale-ups
Entrepreneurs
Vibe coders, dreamers, and creative explorers
Anyone else building something meaningful
Program Benefits
The Nosana Grants Program supports technically strong teams building AI applications, infrastructure, or tooling that run on decentralized GPU compute.
Fueling the Future of
Decentralized AI
Compute
$5K-$50K
Milestone-based financial support provided in USDC, NOS, and GPU credits (compute you can use on Nosana).
Full Ownership & IP
Non-dilutive support — everything you create stays yours.
Ecosystem Exposure
Showcase your work across the Nosana ecosystem. Connect with partners, collaborators, and early adopters.
Community Access
Access to a network of developers, contributors, and AI builders using decentralized GPU compute.
Where the next wave of AI is emerging and what's worth building next (not limited to)
AI Infrastructure
Foundational layers that make AI run anywhere. Examples: model hosting, scalable inference, deployment layers, decentralized compute, scheduling systems.
Developer Tooling
Everything that helps builders move faster. Examples: SDKs, CLIs, IDE plugins, debugging tools, observability dashboards.
Network Growth & Protocol Extensions
Ways the network grows, evolves, and self-reinforces. Examples: staking models, governance tools, protocol upgrades, incentive mechanisms.
AI Applications
Where AI meets people and products. Examples: agents, copilots, creative tools, recommendation systems, emerging MCP-style apps.
Training, Inference & Data Pipelines
The flows that shape how models learn and perform. Examples: data prep, training loops, evaluation flows, experiment tracking, optimization pipelines.
Automation Systems
Systems that quietly take care of the busywork. Examples: workflow schedulers, orchestration layers, job runners, automated pipelines.
Agent Systems
Everything that empowers autonomous AI to act. Examples: agent runtimes, coordination protocols, multi-agent patterns, agent plugins, marketplaces.
Emerging Concepts & Other Ideas
New directions that don't fit in a box (yet). Examples: AI × DePIN primitives, decentralized model hosting, novel coordination ideas.
AI Infrastructure
Developer Tooling
Network Growth & Protocol Extensions
AI Applications
Training, Inference & Data Pipelines
Automation Systems
Agent Systems
Emerging Concepts & Other Ideas
Powering the Future of AI Models
Inferia, an AI research tooling startup, needed a scalable GPU backend to run large-volume inference workloads without relying on centralized cloud providers.
Reduction in inference costs
faster provisioning time
Your Starting Essentials
Simple materials that help us understand your project.
Pitch Deck
Demo
Roadmap
How proposals are evaluated
The Grants Committee reviews each application based on:
- • Strength of the technical approach
- • Potential ecosystem or community impact
- • Clarity and feasibility of the roadmap
- • Team capability and delivery track record
- • Depth and relevance of Nosana compute usage
Frequently Asked Questions
What types of projects are eligible for a grant?
Projects must use (or plan to use) Nosana's decentralized GPU network for training, inference, deployment, or agentic/LLM workflows. Eligible categories include AI infrastructure, developer tooling, network extensions, AI applications, data pipelines, and experimental systems aligned with decentralized compute.
What are Nosana Compute Credits?
Nosana Compute Credits are in platform credits that can be used to purchase Nosana compute directly, without the need to use NOS tokens.
How is funding distributed?
Funding is released in milestone-based phases. Once a milestone is completed and verified, the next tranche is unlocked.
Is this an accelerator or incubator program?
No. This is a non-dilutive grants program, not an accelerator. We do not take board seats, equity, or operational control.
Does the program provide technical engineering support?
No. The program offers light mentorship and community guidance, but not dedicated engineering, debugging, or hands-on development support.
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