Use Cases
The protocol serves three main participants: investors, agent operators, and GPU hosts. Each benefits from decentralized access and transparent economics.
Investors
Fractional ownership lowers CapEx and allows participation in AI infrastructure without operating hardware. Token holders earn yield when GPUs are utilized and can trade tokens on secondary markets. Incentives align via Proof of Utility: supporting high utilization agent deployments maximizes returns.
Agent operators
Autonomous agents (e.g. Conway agents) get programmable access to GPU compute via smart contracts. They “check in” and report cycle consumption in real time; fees are deducted automatically and flow to hosts and token holders. Low latency L2 telemetry keeps reporting efficient.
GPU hosts
Hosts contribute enterprise grade hardware (e.g. NVIDIA H100/A100) to the network. Nodes verify uptime and integrity; the protocol routes a share of agent fees to hosts. Idle capacity is monetized only when utilized, aligning host incentives with demand.
Before vs after
- Before: Centralized providers gatekeep HPC; high entry barriers and opaque pricing.
- After: Decentralized tokenized GPU access, fractional ownership, real time yield, and liquid secondary markets tied to utilization.