GPU computing and decentralized infrastructure have become some of the fastest-growing verticals in crypto. Below is a comprehensive rundown of projects building GPU-related marketplaces, rendering networks, and AI compute grids on Solana.
Major GPU and Compute Projects
- Render Network (RNDR)
- A decentralized GPU rendering marketplace.
- Artists and creators submit rendering jobs while node operators with spare GPU capacity fulfill them.
- Strong presence in 3D design, visual effects, and DePIN infrastructure.
- Integrated with professional tools like OctaneX.
- Nosana
- A decentralized GPU grid for AI compute.
- Allows individuals with idle GPUs to register as nodes and provide inference compute.
- Mainnet GPU marketplace is live, with thousands of participants.
- Offers lower costs compared to centralized cloud providers.
- IO.Net
- A GPU aggregator that clusters globally distributed GPUs.
- Sources compute from mining farms, independent data centers, and individuals.
- Targets AI/ML training and inference workloads.
- Has scaled rapidly in number of GPU workers and user adoption.
- Kuzco
- Provides decentralized GPU clusters for large language model inference.
- Enables scalable services for applications that require LLMs.
- Already being used by projects such as DecentAI and Catena.
- Exabits
- Building a foundation layer for AI computing.
- Focuses on training, inference, and fine-tuning workloads.
- Currently more early stage compared to others in the space.
- Compute Labs
- Focused on tokenizing GPU resources through GPU NFTs (GNFTs).
- Enables fractional ownership, staking, and financialization of GPU compute.
- Bridges AI compute with decentralized finance.
- Aethir
- Offers GPU-as-a-service for AI and agent deployment.
- Works with projects in the Solana ecosystem by providing scalable compute infrastructure.
- Also runs ecosystem funds and partnerships.
Additional and Emerging Projects
- Synesis One
- Building a decentralized data economy to train AI models.
- Not purely GPU-focused but overlaps with compute requirements for AI.
- Grass Network
- Focused on decentralized data collection for AI.
- More data-infrastructure-oriented but positioned to connect with GPU compute later.
- Catena / DecentAI
- Consumers of GPU cluster services such as Kuzco.
- Provide AI agent and LLM-based applications that rely on GPU inference capacity.
Summary
The Solana ecosystem now hosts a broad spectrum of GPU-driven projects, from rendering networks like Render, to inference clusters like Kuzco, to full marketplaces such as Nosana and IO.Net. Some players are financializing GPU capacity, such as Compute Labs, while others like Synesis One and Grass focus on feeding data pipelines that ultimately require GPU power. Together, they form a fast-expanding layer of decentralized compute that positions Solana at the intersection of AI, cloud, and DePIN infrastructure.
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