Custom Scheduler Boosts vLLM Throughput 2.91x

A researcher tests vLLM schedulers and finds a custom continuous batching policy improves throughput by 2.91 times compared to static and dynamic methods. The study isolates the scheduler variable using Qwen2.5-7B-Instruct on DGX Spark hardware, showing static batching wastes 660 decode steps per request while continuous batching reclaims slots immediately.