Technical documentation
Full technical whitepaper: Decentralized GPU Tokenization and Autonomous Agent Integration. This documentation describes the Kernel Loop protocol in detail.
Executive summary
The rapid expansion of Large Language Models (LLMs) and autonomous agents has created an unprecedented demand for high performance computing (HPC). Current infrastructure is gatekept by centralized providers, leading to inefficiencies and high entry barriers.
This protocol introduces a decentralized framework that tokenizes enterprise grade GPU compute, enabling fractional ownership and real time revenue distribution. By integrating Conway agents directly with on chain smart contracts, the system transforms raw hardware power into a liquid, yield bearing digital asset.
By decentralizing access to AI infrastructure, the protocol removes the inefficiencies of centralized cloud computing. It creates a symbiotic ecosystem where autonomous agents find the compute they need to evolve, and investors receive transparent, automated rewards for providing that compute. The result is a highly optimized, financialized layer for the AI era—turning “cold metal” into a productive, liquid asset.
Documentation sections
- System architecture and agent integration— Node layer, Conway interface, L1/L2 blockchain integration
- Economic framework— Yield mechanics, fractional ownership, Proof of Utility
- Hardware optimization & resource allocation— Real-time reporting, fee flow, liquidity
- Use cases— Investors, agent operators, GPU hosts
- Glossary— Key terms and notation