How do you handle concurrency in high-traffic LLM systems?

Concurrency is handled using request queuing, batching, async processing, and GPU-aware scheduling.

LLM systems must manage thousands of concurrent requests efficiently. This is achieved using async request handling, dynamic batching, queue prioritization, and GPU scheduling. Systems also implement backpressure mechanisms to prevent overload and ensure fairness across users.