Distributed Architecture

Purpose

To provide a decentralized, permissionless execution layer dedicated to a single, community-governed AI model/service.

The system is designed to survive partial failures and operate without trusted coordinators.

Core Principles

No single point of failure
No central authority
Graceful degradation
Horizontal scalability
Single-service scope over general-purpose compute

Key Concepts

Peer-to-peer coordination
Task and model sharding
Redundant computation
Bandwidth-aware protocols
Incentive-neutral participation
Trust & validation for permissionless agents

See also

Repositories

compute-protocol
compute-node
compute-scheduler

Status

Actively evolving. Expect breaking changes.