Kernel Loop
Decentralized GPU tokenization. Turn enterprise compute into a liquid, yield bearing asset.
High performance AI infrastructure is locked behind centralized providers. Kernel Loop is the protocol that tokenizes GPU compute: fractional ownership, real time revenue distribution, and direct integration for autonomous agents. Hardware becomes a tradable asset; investors earn yield when it's used.
Why Kernel Loop
Fractional ownership
Own a share of GPU clusters without the CapEx. Tokens represent a percentage of specific hardware or diversified pools.
Real yield from utilization
Revenue flows when GPUs are used. Token holders earn a share of fees from agent compute; idle hardware earns nothing—Proof of Utility.
Built for autonomous agents
Conway agents and others connect via smart contracts, report cycle consumption in real time, and pay per use. Low latency L2 telemetry keeps it efficient.
How it works
- 1.
Nodes verify hardware
Decentralized nodes monitor GPU telemetry (e.g. H100/A100), verify uptime and integrity, and feed the protocol.
- 2.
Agents consume compute
Agents check in via smart contracts and report GPU cycles. Fees are deducted and split between hosts and token holders.
- 3.
You earn and trade
Hold tokens for yield; trade them on secondary markets. Value tracks the Expected Utilization Rate of the underlying GPU.
Documentation
The complete technical whitepaper—architecture, economics, operations, and use cases—is available in the docs.