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description: Core technology behind Retex Ecosystem
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# Architecture

#### [GridLink Decentralized Network](https://app.gitbook.com/o/l45blxWCGi6TXOs0BMg2/s/EPwHXeH6CsngwZ9Cbbln/welcome/architecture/gridlink-decentralized-network) <a href="#gridlink-decentralized-network" id="gridlink-decentralized-network"></a>

The platform operates on a peer-to-peer network leveraging a custom protocol called **GridLink**. GridLink dynamically discovers available GPUs and establishes **secure**, **low-latency** connections. This architecture removes single points of failure and ensures high availability across the system.

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#### [EdgeNode Client](https://app.gitbook.com/o/l45blxWCGi6TXOs0BMg2/s/EPwHXeH6CsngwZ9Cbbln/welcome/architecture/edgenode-client) <a href="#edgenode-client" id="edgenode-client"></a>

Idle GPUs are integrated into the network via the **EdgeNode** client. This lightweight software runs minimal background processes and uses a predictive algorithm called **QuantumMesh** to anticipate demand, ensuring optimal resource utilization. GPUs report their availability, specifications, and thermal status in _real time_.

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#### [The HiveMind engine](https://app.gitbook.com/o/l45blxWCGi6TXOs0BMg2/s/EPwHXeH6CsngwZ9Cbbln/welcome/architecture/the-hivemind-engine) <a href="#the-hivemind-engine" id="the-hivemind-engine"></a>

A distributed AI-powered scheduler powers **HiveMind** Engine For **Computing Resource Orchestration**. HiveMind uses neural topology mapping to allocate workloads intelligently, balancing computational loads while _minimizing latency_. It also supports cross-node task migration, enabling seamless scaling for complex jobs.

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