Continuous batching
HoldTechniques
An inference scheduling technique that packs active requests into batches to reduce padding waste.
Why it's here
Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 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.