How do LLM serving systems handle real-time concurrency at scale?

They use batching, queueing, and asynchronous GPU scheduling to maximize throughput.

LLM serving systems batch incoming requests dynamically, use KV caching, and schedule GPU execution efficiently. Techniques like continuous batching (e.g., vLLM) and request prioritization ensure low latency under high load.