# Unlocking asynchronicity in continuous batching

DevFeed: [Unlocking asynchronicity in continuous batching](<https://devfeed.tech/articles/unlocking-asynchronicity-in-continuous-batching-7149.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/continuous_async>)

Author: Rémi Ouazan Reboul; Pedro Cuenca; Aritra Roy Gosthipaty

Published: 2026-05-14T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Inference](<https://devfeed.tech/topics/inference.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Cache](<https://devfeed.tech/topics/cache.md>), [inference-endpoints](<https://devfeed.tech/topics/inference-endpoints.md>)

Tags: [compute](<https://devfeed.tech/tags/compute.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

## AI overview

This article explains how asynchronous batching improves LLM inference by allowing CPU batch preparation and GPU computation to run in parallel, reducing idle time and improving GPU utilization.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.