Lexora Network
Distributed AI inference infrastructure connecting compute providers to AI workloads. A single API for inference, knowledge bases, and model access.
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Distributed AI inference infrastructure connecting compute providers to AI workloads. A single API for inference, knowledge bases, and model access.
The engineering challenge: route model requests across available GPU workers while keeping the developer interface simple. An orchestration layer coordinates dispatch, persistent job records, and streamed responses.
The visual above is an illustrative interface created for this portfolio, not a screenshot or a representation of live usage data.
- Distributed inference
- Model orchestration
- Knowledge retrieval
- Streamed responses
A request’s path through the system.
A familiar API
OpenAI-compatible requests provide a standard entry point for applications.
Coordinate the work
NestJS handles orchestration, with Redis for the node registry and PostgreSQL for job records.
Run the model
Python workers use vLLM to execute inference on GPU infrastructure.
Stream the result
Server-sent events return generated output incrementally to the application.
Architecture summarized from the Lexora Network public product site. No unverified performance metrics are presented.