Lexora

The service operates as a distributed infrastructure where inference jobs route dynamically to available nodes based on performance metrics. This setup enables developers to integrate multiple open-weight models for chat, image generation, and reasoning workloads through an OpenAI-compatible interface that requires minimal code changes. Participants can contribute GPU resources by running lightweight worker software that processes requests in exchange for token-based compensation. The system maintains transparency through live tracking of node activity and employs mechanisms to ensure reliability during task execution. Users benefit from integrated retrieval capabilities that index uploaded documents for contextual responses with source citations. This approach combines embedding models for search with generative models to deliver accurate outputs without requiring local hardware or upfront commitments.