| --- |
| title: README |
| emoji: "🛰️" |
| colorFrom: blue |
| colorTo: green |
| sdk: static |
| pinned: false |
| --- |
| |
|  |
|
|
| # Ratio1 |
|
|
| **Decentralized AI infrastructure for builders and partner teams.** |
|
|
| Ratio1 helps teams build, deploy, and operate intelligent products without giving up control of their models, data paths, runtime, or economics. |
|
|
| [Website](https://ratio1.ai) • [GitHub](https://github.com/Ratio1) • [Documentation](https://github.com/Ratio1/docs) |
|
|
| [What we do](#what-we-do) • [How we do it](#how-we-do-it) • [Build with Ratio1](#build-with-ratio1) • [Why teams use Ratio1](#why-teams-use-ratio1) |
|
|
| ## Positioning |
|
|
| Ratio1 is built for teams that want AI infrastructure they can operate, extend, and trust. We focus on practical delivery: developer tooling, distributed execution, controllable data paths, and network economics that fit production workloads instead of locking them into a single hosted stack. |
|
|
| ## What We Do |
|
|
| - Help builders ship low-code and code-first AI products faster. |
| - Run intelligent workloads across decentralized and edge-connected compute. |
| - Support partner deployments that need clearer operational ownership and private data movement. |
| - Publish reusable models, datasets, demos, and docs for the Ratio1 ecosystem. |
|
|
| ## How We Do It |
|
|
| - Edge-native execution surfaces for distributed AI workloads. |
| - SDKs and runtime libraries that expose real integration primitives. |
| - Operator-controlled deployment patterns for privacy-sensitive environments. |
| - Incentivized participation and observable infrastructure rather than black-box hosting. |
|
|
| ## Build With Ratio1 |
|
|
| The core builder surface is open and actively evolving. |
|
|
| | Repository | Purpose | |
| | --- | --- | |
| | [`ratio1_sdk`](https://github.com/Ratio1/ratio1_sdk) | Python SDK for integrating with the Ratio1 ecosystem. | |
| | [`edge_node`](https://github.com/Ratio1/edge_node) | Edge execution layer for decentralized AI nodes and workloads. | |
| | [`naeural_core`](https://github.com/Ratio1/naeural_core) | Core runtime components used across the network stack. | |
| | [`deeploy-dapp`](https://github.com/Ratio1/deeploy-dapp) | App-facing deployment surface for interacting with the ecosystem. | |
| | [`ratio1-docs`](https://github.com/Ratio1/docs) | Documentation source for builder onboarding, architecture, and partner material. | |
|
|
| ## Why Teams Use Ratio1 |
|
|
| - **Sovereignty:** keep control over where AI runs and how data moves. |
| - **Elastic capacity:** expand through decentralized infrastructure when centralized-only economics are a bad fit. |
| - **Partner readiness:** support enterprise and ecosystem deployments with clearer ownership boundaries. |
| - **Operational visibility:** work with observable primitives instead of opaque hosted abstractions. |
|
|
| ## What You Will Find Here |
|
|
| This Hugging Face organization is the public front door for Ratio1 assets: |
|
|
| - model cards for reusable capabilities |
| - dataset cards for publishable data surfaces |
| - demos and static Spaces for product and partner narratives |
| - documentation links back to the `ratio1-docs` source |
|
|
