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Optimizing vLLM on Arm CPUs

vLLM Blog · published 29 July 2026

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Links from this post

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Host

https://github.com/pytorch/pytorch

github.com

https://github.com/uxlfoundation

github.com

https://github.com/microsoft/mimalloc

github.com

https://learn.arm.com/learning-paths/servers-and-cloud-computing/lse/example/

learn.arm.com

https://developer.arm.com/community/arm-community-blogs/b/ai-blog/posts/bfloat16-processing-for-neural-networks-on-armv8_2d00_a

developer.arm.com

https://developer.arm.com/documentation/dui0379/e/arm-and-thumb-instructions/smmla

developer.arm.com

https://github.com/uxlfoundation/oneDNN

github.com

https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-benchmark-quantisation/

learn.arm.com

https://github.com/ARM-software/kleidiai

github.com

https://github.com/bigPYJ1151

github.com

https://github.com/sanketkaleoss

github.com

https://github.com/Shreyas-fuj

github.com

Elsewhere on vllm.ai (2)

https://docs.vllm.ai/en/latest/getting_started/installation/cpu/

docs.vllm.ai

https://docs.vllm.ai/en/latest/features/quantization/llm_compressor/int8_w4a8/

docs.vllm.ai