Continuous Batching Trend 2026

In AI inference, Continuous Batching dynamically queues new requests as soon as prior ones finish, rather than waiting for entire groups to complete. This maximizes GPU utilization and minimizes idle time. It is used in production LLM serving, benefiting developers and enterprises running chatbots or high-traffic APIs by drastically reducing latency and boosting throughput.