Ratio1 Overview
Ratio1 as a cloud-on-edge AI meta-OS
Ratio1 Overview
Ratio1 is a cloud-on-edge AI meta-OS that combines licensed edge infrastructure, decentralized execution, and protocol-level economic settlement for AI and application workloads.
What this chapter covers
- how production orchestration works across distributed licensed nodes;
- how storage and shared state are handled for real services;
- how plugins act as the execution substrate under product and SDK interfaces.
Participation model: licenses, trust, and incentives
Ratio1 participation is license-gated and role-specific:
- Node Operators run licensed node capacity and receive network rewards (for example Proof of Availability (PoA) and Proof of AI (PoAI) flows).
- CSPs package and operate deployments through Deeploy lifecycle workflows.
- Developers build business logic and integrations through SDK/API interfaces.
Job funding and execution are designed around escrow-aware protocol economics, so production delivery does not depend only on off-platform trust assumptions.
Governance is enforced through protocol trust controls: severe policy violations can trigger freeze/suspend/blacklist actions, and licensed + identity-backed participation improves accountability for enterprise operations.
CSP minimum requirements (overview)
For managed production delivery, CSP participation typically includes:
- oracle-aligned licensed/deed posture for settlement-aware operations;
- KYC/KYB onboarding for accountable service ownership;
- escrow setup/funding before production job settlement can be released.
Production path vs development path
- Recommended managed production path: Deeploy-centered orchestration on licensed nodes, using
deeploy.ratio1.ai(and Deeploy API) for deployment operations, andexplorer.ratio1.aifor telemetry. - Node/license account operations:
app.ratio1.aifor KYC/KYB, license lifecycle, node linking, and reward-claiming flows. - Development/integration path: SDK-driven control for prototyping, custom integration, and advanced workflow logic.
- Distributed compute path: ChainDist for fan-out worker execution with aggregation behavior.
In this section
Ground truth references
Primary:
- https://ratio1.ai/whitepaper
- https://ratio1.ai/blog/what-is-ratio1-and-why-it-matters
- https://app.ratio1.ai/
- https://explorer.ratio1.ai/
- https://deeploy.ratio1.ai/
Supporting:
- https://ratio1.ai/blog/deeploy-unlocked-accessing-the-power-of-ratio1
- https://ratio1.ai/blog/migrating-build21-from-aws-to-ratio1
- https://ratio1.ai/blog/the-csp-business-blueprint
- https://ratio1.ai/blog/the-trust-protocol-inside-ratio1-s-node-governance-and-blacklisting-system
- https://ratio1.ai/blog/redmesh-market-analysis-and-positioning-vs-competitors
- https://ratio1.ai/blog/shipping-the-future-why-today-s-3send-launch-shows-what-the-ratio1-protocol-was-built-for
Notable date
- Reviewed on February 17, 2026.