#executorch resultados da pesquisa
1/ ExecuTorch 1.0 just dropped: a PyTorch-native engine for phones, wearables, embedded—and even laptops. Think LLMs + multimodal running locally with a tiny runtime, no conversions or rewrites. #ExecuTorch #EdgeAI
Run LLMs on-device using @expo react native and #ExecuTorch 🔥 with this #oss library by @swmansion! Demo & code 👇
No flagship? No GPU? No problem. ExecuTorch 0.7 brings KleidiAI acceleration to billions of Arm devices—including 3–5 year-old phones and Raspberry Pi 5. On-device AI, powered by Arm CPUs and SDOT. 🔗 hubs.la/Q03CzKPd0 #PyTorch #ExecuTorch #EdgeAI
On leave with 2nd child so wasn't able to make it to #PyTorchCon but cool to see the official launch of #ExecuTorch 1.0 Excited to keep on building in 2026!
🚀 Excited to announce the release of ExecuTorch 1.0! Now, you can deploy PyTorch models seamlessly to edge devices—mobile, embedded, or desktop—without conversion or rewriting. ExecuTorch supports a wide range of hardware backends and model types, making on-device AI more…
#Meta’s family of apps, Instagram, WhatsApp, Messenger, and Facebook, is now running faster, smarter, and more securely thanks to #ExecuTorch, Meta’s PyTorch-based framework for edge devices. Read on for more: engineering.fb.com/2025/07/28/and…
Arm and Meta Bring #AI Everywhere with #ExecuTorch 1.0 General Availability embedded.com/arm-and-meta-b…
#ExecuTorch か #Macmini M4Pro が発売か、「年末年始の休みを奪うきか〜」 以前 Macmini M2Pro とPyTorch で遊びましたが Metal の依存の関係で GPUの加速感が味えなかった😅 ExecuTorchがどんなもんかですが2024LastRun だ😊 M4ProでPyTorch 2.0、torch.compile、torch.exportが素直に動くか? 🧐
Breaking new ground in mobile AI! React Native ExecuTorch stands out as a powerful declarative library. It empowers developers to run sophisticated AI models directly on devices! @kacperkapusciak #ExecuTorch github.com/software-mansi…
#MediaTek & @AIatMeta are continuing their collaboration to accelerate Llama 3 8B on #ExecuTorch using MediaTek’s 7th Generation APU. This follows MediaTek’s efforts to bring APU acceleration to Llama 2 7B on ExecuTorch, which was recently completed. bit.ly/3UpPEuD
🚀 ExecuTorch export: .pte + XNNPACK for mobile/edge YOLO11/YOLO26. 🔧 VisualAI CLIP fix. vv8.3.220 #Ultralytics #ExecuTorch github.com/ultralytics/ul…
Der zweite Teil meines Tutorials in #iX 4/ 25 bringt #LLaMA mithilfe von #ExecuTorch auf‘s iPhone, und eine Mini-App für #Xcode in #Swift zeigt, wie sich auf dem Fon mit dem #LLM chatten lässt. heise.de/select/ix/2025…
SmolLM3-3B-8da4w: With #TorchAO & optimum-executorch, quantizing and exporting for mobile is a breeze. Now ready for on-device deployment with #ExecuTorch, running at 15 tokens/sec on Galaxy S22. 🔗 Model card with recipes + checkpoints: hubs.la/Q03yGyTN0 #EdgeAI #PyTorch
Here's the 3⃣rd part of our step-by-step guides on bringing native #AI to your mobile apps with #Executorch! This week: converting your @PyTorch models into a format optimized for running on Android devices with good perf 📈 blog.swmansion.com/exporting-ai-m…
Das neue @iXmagazin 2/ 2025 bringt Teil 1 meines Tutorials zu ExecuTorch. Das Framework und API macht große LLMs passend für Smartphones und Edge-Devices. Vielen Dank an die Redaktion. #executorch #ix #heise #LLM heise.de/select/ix/2025…
Executorch alpha launches this week, making it easier to build AI/ML on edge devices. A lot of hard work went into this and I’m excited to see what you all build on top of it. github.com/pytorch/execut… #executorch @TinymlF
Announced today: we're open sourcing ExecuTorch in collaboration with the PyTorch Foundation and industry partners — it's an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, phones and more.
Easily run PyTorch models locally on the edge with #ExecuTorch! Join us at the PyTorch Conference to see how to quickly deploy advanced AI models, including Llama 3.1, to production across a range of mobile and embedded devices with great performance and debuggability. 🧵 (1/7)
MediaTek & @AIatMeta poursuivent leur collaboration pour accélérer Llama 3 8B sur #ExecuTorch en utilisant le NPU 7th Gen de MediaTek, suite à leur récent succès avec Llama 2 7B. bit.ly/3L4U0Tq
PyTorch Edge: Enabling On-Device Inference Across Mobile and Edge Devices with ExecuTorch . . . #ExecuTorch #PyTorchEdge #AIInference #OnDeviceAI
1/ ExecuTorch 1.0 just dropped: a PyTorch-native engine for phones, wearables, embedded—and even laptops. Think LLMs + multimodal running locally with a tiny runtime, no conversions or rewrites. #ExecuTorch #EdgeAI
🚀 ExecuTorch export: .pte + XNNPACK for mobile/edge YOLO11/YOLO26. 🔧 VisualAI CLIP fix. vv8.3.220 #Ultralytics #ExecuTorch github.com/ultralytics/ul…
Arm and Meta Bring #AI Everywhere with #ExecuTorch 1.0 General Availability embedded.com/arm-and-meta-b…
On leave with 2nd child so wasn't able to make it to #PyTorchCon but cool to see the official launch of #ExecuTorch 1.0 Excited to keep on building in 2026!
🚀 Excited to announce the release of ExecuTorch 1.0! Now, you can deploy PyTorch models seamlessly to edge devices—mobile, embedded, or desktop—without conversion or rewriting. ExecuTorch supports a wide range of hardware backends and model types, making on-device AI more…
#Meta’s family of apps, Instagram, WhatsApp, Messenger, and Facebook, is now running faster, smarter, and more securely thanks to #ExecuTorch, Meta’s PyTorch-based framework for edge devices. Read on for more: engineering.fb.com/2025/07/28/and…
Get more from your on-device models with #ExecuTorch and Arm #KleidiAI
SDOT 🤝 Arm KleidiAI 🤝 ExecuTorch KleidiAI delivers exceptional speedups for AI workloads. ExecuTorch 0.7 is built on that foundation and supported by the Arm SDOT CPU feature - making GenAI accelerations accessible on billions of Arm-based devices. okt.to/OnqKEh
No flagship? No GPU? No problem. ExecuTorch 0.7 brings KleidiAI acceleration to billions of Arm devices—including 3–5 year-old phones and Raspberry Pi 5. On-device AI, powered by Arm CPUs and SDOT. 🔗 hubs.la/Q03CzKPd0 #PyTorch #ExecuTorch #EdgeAI
Big updates to #TorchAO low-bit operators for Arm CPU: dynamic kernel selection, KleidiAI integration, and quantized tied embeddings—boosting performance across #PyTorch, including #ExecuTorch for on-device inference. 🔗 hubs.la/Q03BR9gf0
SmolLM3-3B-8da4w: With #TorchAO & optimum-executorch, quantizing and exporting for mobile is a breeze. Now ready for on-device deployment with #ExecuTorch, running at 15 tokens/sec on Galaxy S22. 🔗 Model card with recipes + checkpoints: hubs.la/Q03yGyTN0 #EdgeAI #PyTorch
Breaking new ground in mobile AI! React Native ExecuTorch stands out as a powerful declarative library. It empowers developers to run sophisticated AI models directly on devices! @kacperkapusciak #ExecuTorch github.com/software-mansi…
Der zweite Teil meines Tutorials in #iX 4/ 25 bringt #LLaMA mithilfe von #ExecuTorch auf‘s iPhone, und eine Mini-App für #Xcode in #Swift zeigt, wie sich auf dem Fon mit dem #LLM chatten lässt. heise.de/select/ix/2025…
Das neue @iXmagazin 2/ 2025 bringt Teil 1 meines Tutorials zu ExecuTorch. Das Framework und API macht große LLMs passend für Smartphones und Edge-Devices. Vielen Dank an die Redaktion. #executorch #ix #heise #LLM heise.de/select/ix/2025…
Run LLMs on-device using @expo react native and #ExecuTorch 🔥 with this #oss library by @swmansion! Demo & code 👇
#ExecuTorch か #Macmini M4Pro が発売か、「年末年始の休みを奪うきか〜」 以前 Macmini M2Pro とPyTorch で遊びましたが Metal の依存の関係で GPUの加速感が味えなかった😅 ExecuTorchがどんなもんかですが2024LastRun だ😊 M4ProでPyTorch 2.0、torch.compile、torch.exportが素直に動くか? 🧐
Alif Semiconductor Announces Support for the #ExecuTorch Framework #PyTorch #AI embedded.com/alif-semicondu…
The release of Llama3.2 1B and 3B models is a game-changer for on-device AI use-cases. And with ExecuTorch, a PyTorch-native framework for deploying to mobile and edge devices, these models were enabled for Android and iOS on day one. #MetaConnect #ExecuTorch #PyTorch
LLAMA3.2 1B provides exceptional performance #onArm Multimodal models will unlock new use cases for mobile users. #Executorch and #KleidiAi will bring performance of these models to the next level. 🚀 Find out more: newsroom.arm.com/news/ai-infere…
newsroom.arm.com
Accelerating and Scaling AI Inference Everywhere with New Llama 3.2 LLMs on Arm
Significant AI performance improvements from cloud to edge when running Meta’s new Llama 3.2 release of LLMs on Arm CPUs
Arm 推出 Kleidi 技術！整合 PyTorch 和 ExecuTorch，為開發人員提供優化 AI 的藍圖。 #PyTorch #ExecuTorch #機器學習 #Arm #Kleidi #AI dlvr.it/TDQwR6
Gian and Pareena will talk about @arm’s KleidiAI and other investments across server/edge and how native integration with #ExecuTorch enables performant execution of AI workloads, including Llama models on Arm-based hardware, sched.co/1ivve & sched.co/1fHmq…
1/ ExecuTorch 1.0 just dropped: a PyTorch-native engine for phones, wearables, embedded—and even laptops. Think LLMs + multimodal running locally with a tiny runtime, no conversions or rewrites. #ExecuTorch #EdgeAI
Arm and Meta Bring #AI Everywhere with #ExecuTorch 1.0 General Availability embedded.com/arm-and-meta-b…
#ExecuTorch か #Macmini M4Pro が発売か、「年末年始の休みを奪うきか〜」 以前 Macmini M2Pro とPyTorch で遊びましたが Metal の依存の関係で GPUの加速感が味えなかった😅 ExecuTorchがどんなもんかですが2024LastRun だ😊 M4ProでPyTorch 2.0、torch.compile、torch.exportが素直に動くか? 🧐
#MediaTek & @AIatMeta are continuing their collaboration to accelerate Llama 3 8B on #ExecuTorch using MediaTek’s 7th Generation APU. This follows MediaTek’s efforts to bring APU acceleration to Llama 2 7B on ExecuTorch, which was recently completed. bit.ly/3UpPEuD
#Meta’s family of apps, Instagram, WhatsApp, Messenger, and Facebook, is now running faster, smarter, and more securely thanks to #ExecuTorch, Meta’s PyTorch-based framework for edge devices. Read on for more: engineering.fb.com/2025/07/28/and…
Breaking new ground in mobile AI! React Native ExecuTorch stands out as a powerful declarative library. It empowers developers to run sophisticated AI models directly on devices! @kacperkapusciak #ExecuTorch github.com/software-mansi…
Here's the 3⃣rd part of our step-by-step guides on bringing native #AI to your mobile apps with #Executorch! This week: converting your @PyTorch models into a format optimized for running on Android devices with good perf 📈 blog.swmansion.com/exporting-ai-m…
No flagship? No GPU? No problem. ExecuTorch 0.7 brings KleidiAI acceleration to billions of Arm devices—including 3–5 year-old phones and Raspberry Pi 5. On-device AI, powered by Arm CPUs and SDOT. 🔗 hubs.la/Q03CzKPd0 #PyTorch #ExecuTorch #EdgeAI
#MediaTek & @AIatMeta are continuing their collaboration to accelerate Llama 3 8B on #ExecuTorch using MediaTek’s 7th Generation APU. This follows MediaTek’s efforts to bring APU acceleration to Llama 2 7B on ExecuTorch, which was recently completed. bit.ly/3UpPEuD
ExecuTorch is a practical choice for broad model compatibility or Android device support Read the complete article to learn more 🔗 👉 analyticsindiamag.com/executorch-vs-… #ExecuTorch #PyTorch #TensorFlowLite #ModelOptimization #MachineLearningFrameworks #NPU #TorchScript #MLAdvancements
Das neue @iXmagazin 2/ 2025 bringt Teil 1 meines Tutorials zu ExecuTorch. Das Framework und API macht große LLMs passend für Smartphones und Edge-Devices. Vielen Dank an die Redaktion. #executorch #ix #heise #LLM heise.de/select/ix/2025…
Executorch alpha launches this week, making it easier to build AI/ML on edge devices. A lot of hard work went into this and I’m excited to see what you all build on top of it. github.com/pytorch/execut… #executorch @TinymlF
Der zweite Teil meines Tutorials in #iX 4/ 25 bringt #LLaMA mithilfe von #ExecuTorch auf‘s iPhone, und eine Mini-App für #Xcode in #Swift zeigt, wie sich auf dem Fon mit dem #LLM chatten lässt. heise.de/select/ix/2025…
PyTorch Edge: Enabling On-Device Inference Across Mobile and Edge Devices with ExecuTorch . . . #ExecuTorch #PyTorchEdge #AIInference #OnDeviceAI
Alif Semiconductor Announces Support for the #ExecuTorch Framework #PyTorch #AI embedded.com/alif-semicondu…
MediaTek & @AIatMeta poursuivent leur collaboration pour accélérer Llama 3 8B sur #ExecuTorch en utilisant le NPU 7th Gen de MediaTek, suite à leur récent succès avec Llama 2 7B. bit.ly/3L4U0Tq
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