Nosana
GPU compute marketplace focused on AI inference on Solana. Lighter to join than enterprise tiers, with returns tied closely to live job demand.
Decentralized AI Compute: An Analytical Evaluation of Nosana ($NOS)
Nosana is a decentralized, low-latency GPU compute marketplace built on Solana, focused squarely on AI inference. Originally a decentralized CI/CD network, it pivoted to address the GPU shortage, crowdsourcing underused consumer and enterprise GPUs (mainly NVIDIA RTX) into an on-demand grid for inference. By stripping virtualization overhead and enterprise pricing, it lowers the cost of running AI models by 70% to 80%.
- Active compute nodes
- 2,800+ verified GPUs
- Annualized recurring revenue
- ~$3.4M (est. mid-2026)
- Total raised
- ~$2.5M+ (seed, token rounds, grants)
- Maximum supply
- 100,000,000 $NOS
The verdict
A lighter GPU marketplace for AI inference on Solana, easier to join than enterprise tiers. Returns track live job demand, so expect them to move with the market.
Demand-side revenue versus pure token emission.
Emission schedule, burn, and payout sustainability.
Geographic and operator distribution.
Payback, cost-to-yield, resale, and capital efficiency.
How simple the network is to install and run.
Public stats, verifiable data, and disclosure quality.
The headline builder score of 89 is our weighted editorial composite of the six dimensions above, scored on the same public methodology for every project. It is editorial, not a guarantee, and not financial advice.
Strengths
- A low barrier to entry relative to enterprise compute tiers.
- An inference focus that aligns with where compute demand is real.
- No dedicated hardware purchase required.
Risks
- Returns are tightly tied to live job demand and can be uneven.
- A smaller network means thinner, less predictable job flow.
- Competes with larger compute marketplaces for the same workloads.
Similar networks
Figures are indicative and change with token price and saturation. Not financial advice.