Multi-Layer Compute Protocol (MCP)

The orchestration engine behind Hymx is called the Multi-Layer Compute Protocol. It governs how AI tasks move across the network - from agents to users, and from intent to execution.

MCP handles job routing based on:

  • Hardware capability: matching tasks with devices that meet CPU/GPU/Bandwidth thresholds.

  • Latency constraints: ensuring low-latency jobs are routed to geographically close nodes.

  • Job requirements: distinguishing between AI inference, model training, data cleanup, or memory-intensive processes.

It supports asynchronous coordination and real-time segmentation, allowing workflows to be split across multiple nodes and executed in parallel. Unlike monolithic chains or static compute grids, Hymx is designed to be flexible, dynamic, and load-aware.

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