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Accelerating On-Device ML Inference with ExecuTorch and Arm SME2

PyTorch Blog · 29 January 2026 · 13 min read

A post on pytorch.org, published 29 January 2026, has not been cited by any blog yet (corpus.blog, measured 17 October 2026).

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https://help.instagram.com/1382185835750156 Who cites this page
help.instagram.com
https://github.com/pytorch/executorch Who cites this page
github.com
https://www.arm.com/technologies/sme2 Who cites this page
arm.com
https://arxiv.org/abs/2312.06736 Who cites this page
arxiv.org
Accelerating on-device ML on Meta’s family of apps with ExecuTorch Read at engineering.fb.com (opens in a new tab)
engineering.fb.com
https://www.arm.com/architecture/cpu/a-profile/armv9 Who cites this page
arm.com
https://newsroom.arm.com/blog/arm-c1-cpu-cluster-on-device-ai-performance Who cites this page
newsroom.arm.com
https://newsroom.arm.com/news/announcing-lumex-css-platform-ai-era Who cites this page
newsroom.arm.com
https://learn.arm.com/learning-paths/cross-platform/multiplying-matrices-with-sme2/1-get-started
learn.arm.com
https://github.com/ARM-software/kleidiai Who cites this page
github.com
https://www.arm.com/markets/artificial-intelligence/software/kleidi Who cites this page
arm.com
https://github.com/pytorch/executorch/blob/main/docs/source/etdump.md Who cites this page
github.com
https://github.com/ArmDeveloperEcosystem/sme-executorch-profiling Who cites this page
github.com
https://learn.arm.com/learning-paths/cross-platform/sme-executorch-profiling/
learn.arm.com

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