Asynchronous batching
HoldTechniques
A batching approach that overlaps CPU batch preparation with GPU execution to improve utilization.
Why it's here
Placed in Hold: 2 article(s) of evidence from 2 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 42%.
Evidence (2)
- 3The New Stack·7/12/2026researchAsync Processing Hides Latency and Improves Responsiveness
The article explains how asynchronous processing improves system responsiveness by allowing I/O and other work to proceed without blocking the main thread. It contrasts async and synchronous approaches, highlighting event loops and I/O multiplexing as core mechanisms for handling concurrent activity more efficiently.
- 6Hugging Face Blog·5/14/2026researchHugging Face explains asynchronous continuous batching for LLM inference
Hugging Face published a technical post showing how to separate CPU batch preparation from GPU compute in continuous batching for LLM inference. The article argues that asynchronous batching can reduce idle time between CPU and GPU work and improve throughput without requiring new kernels or model changes.