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1 points·by executorch·8 bulan yang lalu·0 comments

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executorch
·7 bulan yang lalu·discuss
ExecuTorch member here.

- Better microcontroller support is in our roadmap for 2026. There is a lot of development happening here from support for Arduino, STMicro and others. We will do this openly with the community as usual so if you are interested, feel free to join our discord and looped into the github repo.

- Better web support is also in the roadmap. There is some limited support already though not sure exactly what your usecase is. Feel free to open up a GH issue and we can see if there is a way to unblock you.

- Will take the feedback about Samsung to them. Seeing the user feedback first hand here will likely help them prioritize some of that. This is partially why we have not called this a production ready backend unlike the other backends like Qualcomm, Vulkan and a few others we ourselves are using in production.
executorch
·8 bulan yang lalu·discuss
At Meta, on-device AI is a cornerstone for delivering fast, private, and intelligent experiences to the people who use our products. ExecuTorch, our open source, lightweight, and efficient inference engine, has been instrumental in enabling these capabilities across our various apps. Today, we’re excited to share that ExecuTorch is now enabling cutting-edge machine learning experiences across Reality Labs’ portfolio of VR headsets and AI glasses. ExecuTorch lets developers easily deploy state-of-the-art machine learning models, unlocking richer, smarter, and more immersive experiences. By streamlining the path from research to applications and allowing people to get our work in their hands, ExecuTorch is setting a new standard for advanced on-device AI.