What Is Continuous Batching? How AI Servers Handle Many Users at Once

Continuous batching is a technique in AI inference that dynamically manages individual request sequences to keep accelerator hardware efficiently utilized, avoiding delays caused by static batch processing. It involves queuing requests, grouping them, advancing decoding steps, removing completed sequences, and filling freed capacity with waiting requests to optimize performance.