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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