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Predefined models offer a powerful starting point for understanding edge AI. However, Christopher shares how you can easily expand those capabilities by training and deploying your own models in Arduino App Lab through its native Edge Impulse integration.

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14,618 просмотров • 1 месяц назад •via X (Twitter)

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The wait is over! Meet Arduino VENTUNO Q, where AI takes action. 💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board 🧠 NPU + CPU + GPU +MCU: Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control 🗄️ 16 GB RAM + 64 GB eMMC + expandable storage 🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS 🛠️ Build AI faster using Arduino App Lab, Hugging Face, Edge Impulse, and Qualcomm AI Hub 💨 Move seamlessly from prototype to production through Works with Arduino Certification Program The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI:

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Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by to share how companies are owning their intelligence with Applied Compute.
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Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by to share how companies are owning their intelligence with Applied Compute.

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The new Arduino VENTUNO Q is here to redefine Edge AI! 🚀 Visit us at Booth H3-555 @ #embeddedworld to see it in action. 🧠 Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS ⚡ 16 GB RAM, 64 GB eMMC + expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition and more 🛠️ Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🌐 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD ⚙️ ROS 2 compatibility Sign up for updates:
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The new Arduino VENTUNO Q is here to redefine Edge AI! 🚀 Visit us at Booth H3-555 @ #embeddedworld to see it in action. 🧠 Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS ⚡ 16 GB RAM, 64 GB eMMC + expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition and more 🛠️ Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🌐 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD ⚙️ ROS 2 compatibility Sign up for updates:

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