Executorch: Open-source ondevice AI from @pytorch @Executorch
https://t.co/R5FZH15lNU - end-to-end solution for on-device inference and training US Joined March 2024-
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@gourav_sanyal Give this a try? github.com/meta-pytorch/e…
We did it! ExecuTorch team won the Best Industry Paper Award @MLSysConf 2026. Come meet us at the conference next week. Discord: discord.gg/Dh43CKSAdc Paper: arxiv.org/abs/2605.08195 Project: github.com/pytorch/execut… Schedule: mlsys.org/virtual/2026/c…
Big congrats to the ExecuTorch team. Their paper just won the Best Industry Paper Award at @MLSysConf 2026. 🏆 ExecuTorch is PyTorch's framework for running models on-device, in production today across phones, wearables, desktops, and embedded systems. Backends include Apple,
Launching SimCam – a tool that finally lets you test camera features directly in the iOS simulator! 🚀 🎦 Stream video from your Mac's built-in or external camera, inject an image or video, or generate a QR code.
@swmansion This is really cool!!
🎙️Run Voxtral Realtime locally with ExecuTorch! 💻Thanks to the ExecuTorch team, you can now deploy and run Voxtral Realtime efficiently and fully offline on your MacBook.
ExecuTorch as an external Zephyr module! You can now use #ExecuTorch in #Zephyr. Together with #Arm, we enabled Zephyr integration and run models on CPU and Arm Ethos-U NPUs with ExecuTorch. Checkout the documentation here: docs.zephyrproject.org/latest/develop…
The #MLX delegate has landed in ExecuTorch(github.com/pytorch/execut…) and is available on main in OSS. It delivers SOTA GPU performance on #macOS for GenAI models, with 3-6x greater throughput than what was previously possible with #ExecuTorch.
Our paper #ExecuTorch - A Unified PyTorch Solution to Run #ML Models #OnDevice is accepted to appear at #MLSys 2026. Excited!
SqueezeSAM on-device, accelerated 🚀 With ExecuTorch and Arm SME2, SqueezeSAM image segmentation achieves up to 3.9× faster inference, reducing FP16 latency from over one second to ~300 ms on a single CPU core. This makes responsive, interactive on-device AI practical on mobile CPUs, no GPU required, while preserving headroom for richer user experiences. A strong example of how hardware-aware optimization and operator-level profiling can materially change what’s possible for on-device ML. 🔗 Read the blog: hubs.la/Q040Q9Rq0 👥 Gian Marco Iodice, Damien Dooley, Tyler Mullenbach, Jason Zhu hashtag#PyTorch hashtag#ExecuTorch hashtag#OnDeviceAI hashtag#OpenSourceAI hashtag#MachineLearning
@FrancoPaludi1 @PyTorch @grok Yes, Franco. They can be exported and lower to the xnnpack delegate. The steps to repro the results are here: huggingface.co/pytorch/gemma-… If you get stuck on it somehow, join our discord at discord.com/invite/Dh43CKS… and we can figure out what's going on together.
You can now run TorchAO quantized Gemma-3 models with ExecuTorch on edge devices. x.com/PyTorch/status…
TorchAO Quantized Gemma-3 Models Now Available on HuggingFace 🚀 TorchAO quantized Gemma-3 models (4b, 12b and 27b) are now available in multiple quantized formats (FP8, INT4, AWQ-INT4, HQQ-INT8-INT4, QAT-INT4) on HuggingFace Hub! Our models: * Run efficiently on A100/H100 GPUs
Huge thanks to my co-authors @JimmyTYYang1, Jean Ponce, @AdrienBardes, and @ylecun for their guidance 🙏 Special thanks to @garridoq_ and @DanielDugas14 ! Work done at @AIatMeta & @Inria 📄 Paper: arxiv.org/abs/2512.24497 💻 Code + data + checkpoints: github.com/facebookresear…
@swmansion_pl It indeed is! You folks have been wonderful to work together as well!
@fsfarimani @razielag @ComfyUI @Qualcomm @RadxaComputer We do 'unofficially' support QCS6490. discord.com/channels/13342… Want to join discord? We can ping some of the devs there.
Export Ultralytics YOLO11 to ExecuTorch for lightning-fast on-device AI! ⚡ Run YOLO11 directly on mobile and edge devices with optimized performance, low latency, and seamless deployment using Meta’s ExecuTorch runtime. Learn more ➡️ bit.ly/4ojONZm #AI #MachineLearning #EdgeAI
PyTorch Foundation is heading to NeurIPS 2025 with a full program of workshops, sessions, and community events, including our joint booth with Cloud Native Computing Foundation (CNCF) and the Open Source AI Reception with CNCF, Anyscale, Featherless AI, Hugging Face, and Unsloth AI. Connect with PyTorch maintainers and ecosystem contributors throughout the conference this week. What to expect: Workshop: Agentic Development at the Frontier December 2, 4:00–5:00 PM PT Featuring Joseph Spisak, Davide Testuggine, Aksel Joonas Reedi, Zach Wentz, Daniel Han, Sanyam Bhutani, and Aakanksha Choudhery 🔗 hubs.la/Q03WkRbY0 Workshop: On Device/Edge AI December 3, 12:00–1:30 PM PT Featuring Cagatay Bilgin, Matthias Lecher, Andrey Tovchigrechko, Varun Khare, Vijay Janapa Reddi, Karan Goel, and Mitesh Patel 🔗 hubs.la/Q03WkMNd0 Evening Event: Open Source AI Reception December 3, 6:00–9:00 PM PT Hosted by PyTorch Foundation & CNCF with Anyscale, Featherless, Hugging Face, and Unsloth at Union Kitchen and Tap Gaslamp in San Diego 🔗 Register to secure your spot: hubs.la/Q03WkQMR0 Talk: Modular Agents and Orchestrated Coordination using Open Agentic Protocols December 4, 10:45–10:57 AM PT Featuring Matt White 🔗 hubs.la/Q03WkQwW0 Booth: Meet with Us in the Exhibit Sponsor Hall We’re proud to be a Diamond sponsor of NeurIPS 2025 alongside CNCF. Come visit us in the Exhibit Sponsor Hall A/B - Booth #723 #NeurIPS2025 #NeurIPS #OpenSource #OpenSourceAI #PyTorch
@PyTorch Excited for the on-device ML workshop. The speaker list looks amazing!
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