# Gradient Network

> The open layer for edge compute on Solana.

Gradient Network provides decentralized edge computing infrastructure on Solana, enabling accessible and affordable compute services to users globally.

Gradient Network delivers decentralized computing infrastructure on Solana through three interconnected layers: pervasive connectivity, homogenized computation, and adaptive orchestration. The platform enables direct peer-to-peer communication without intermediaries, standardizes heterogeneous compute resources, and orchestrates resource allocation efficiently.

- Type: Company
- Sector: Infrastructure
- Status: Active
- Founded: 2024-01-01
- Profile: https://thegrid.id/profiles/gradient_network

## Products

- [Gradient Sentry](https://thegrid.id/profiles/gradient_network): Gradient Sentry implements peer-to-peer connectivity through lightweight node applications, enabling global network mapping and connectivity verification. The system performs periodic taps between nodes while maintaining user privacy and resource efficiency. (DePin, Live, Main Product)
- [Parallax](https://thegrid.id/profiles/gradient_network): Parallax operates as a distributed serving framework enabling large language model inference across heterogeneous hardware networks through pipeline parallelism and dynamic load balancing. The system decomposes model layers across distributed nodes utilizing gRPC tensor streaming, Distributed Hash Table coordination, and platform-specific execution engines for NVIDIA GPUs and Apple Silicon devices. (Developer Tooling, Live)
- [Echo](https://thegrid.id/profiles/gradient_network): Echo implements distributed reinforcement learning through dual-swarm architecture separating inference and training operations. The framework enables RL alignment across consumer hardware by decoupling inference workloads distributed via Parallax from centralized training clusters, supporting model development for mathematical reasoning and strategic planning tasks. (Developer Tooling, Live)
- [Lattica](https://thegrid.id/profiles/gradient_network): Lattica functions as a peer-to-peer data motion protocol facilitating decentralized file transfer, model weight distribution, and inference token streaming across distributed machine networks. The system provides NAT traversal, content routing, and reliability mechanisms for coordinating data movement in heterogeneous compute environments. (Developer Tooling, Live)
- [Gradient Cloud](https://thegrid.id/profiles/gradient_network): Gradient Cloud provides managed AI inference endpoints and deployment tools utilizing the distributed Parallax, Echo, and Lattica infrastructure stack. The platform offers OpenAI-compatible APIs, interactive playgrounds with parameter tuning, and workload routing across decentralized hardware resources for model serving operations. (Developer Tooling, Live)
- [Gradient Explorer](https://thegrid.id/profiles/gradient_network): Gradient Explorer provides network statistics, node tracking, and real-time analytics for the Gradient distributed computing infrastructure, enabling monitoring of compute participation and system performance metrics. (Block Explorer, Live)

## Links

- [Main](https://gradient.network)
- [Documentation](https://docs.gradient.network)
- [Terms of Service](https://gradient.network/terms-of-service)
- [Privacy policy](https://gradient.network/privacy-policy)
- [Blog](https://gradient.network/blog)
- [Discord](https://discord.com/invite/gradientnetwork)
- [Twitter / X](https://x.com/Gradient_HQ)

## Legal

This data is provided under two licensing models.

Model 1 - open data. The open data core is licensed under the Open Database License (ODbL) — a copyleft/share-alike license allowing free use, modification, and sharing for any purpose. Attribution is required: include "Powered by The Grid" linking to https://thegrid.id wherever the data is used. Derivative databases must be shared under ODbL terms. Trademarks, logos, and brand names (marked "Special TPIP") are not covered by the ODbL. For ML/AI use: training datasets that substantially extract ODbL data are Derivative Databases and must be shared under ODbL if publicly used; models must be attributed in documentation.

Model 2 - commercial licenses. The Grid Data Service (TGDS) is also available as a commercial license. See [Web Services Terms](https://about.thegrid.id/legal/web-services-terms) for commercial use that is not covered by the open data service.

The following applies to both licensing models.
- All data is provided AS IS with no guarantees of accuracy.
- The Grid does not provide investment, legal, or tax advice, and
- a project's presence in The Grid's data does not imply endorsement.


- [Data Licensing & Disclaimers](https://about.thegrid.id/legal/data-licensing-and-disclaimers): Licensing models and disclaimers
- [Open Data (ODbL)](https://about.thegrid.id/legal/open-data): Open Database License terms and scope for The Grid's open data service.
- [Attribution Guidelines](https://about.thegrid.id/legal/open-data-attribution-guidelines): How to attribute The Grid's data when using the open data service.
- [Web Services Terms](https://about.thegrid.id/legal/web-services-terms): commercial Terms for using data services.
- [All Legal Documents](https://about.thegrid.id/legal): Full index of terms, policies, and disclosures

## Optional

- [TGS Field Descriptions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-field-descriptions.md): Schema field definitions for The Grid's data model
- [TGS JSON Structure](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-json-structure.md): Data model structure and relationships
- [Product Type Definitions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-definitions.md): Definitions for each product type
- [Product Type Classification](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-classification.md): Guide for classifying products into types
- [Grid MCP Guide](https://github.com/The-Grid-Data/workspace-public/blob/main/grid-search/skills/grid-query/references/grid-mcp-guide.md): How to query The Grid programmatically via MCP