Classification

Grid Nodes form the distributed backbone of DGrid.AI, with classifications based on functional specialization, hardware capabilities, and task complexity. Each node type contributes uniquely to the network’s resilience, scalability, and trustlessness, collectively eliminating reliance on centralized AI infrastructure. Below is a detailed breakdown of node categories, their roles, and their significance to the decentralized ecosystem.

Node Classification by Function & Task Type

DGrid.AI’s nodes are categorized to address distinct stages of the inference lifecycle—from task execution to validation—ensuring efficiency and security across the network.

Node Type	Functional Focus
DGrid Nodes (Execution Layer)	Execute LLM inference tasks submitted by users, leveraging community-owned computing resources to process prompts and generate results.
DGrid Adaptor Nodes (Coordination Layer)	Act as the network’s "orchestrators," managing task routing, settlement, and validation to ensure seamless user experiences and network integrity.