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#M5StackNew 🎉LLM-8850 Kit Released LLM-8850 Kit is a high-performance AI accelerator kit designed for edge AI and embedded computing scenarios. It consists of the LLM-8850 Card AI accelerator card, which is based on @Axera AX8850 SoC, and the LLM-8850 PiHat adapter board, enabling the @Raspberry Pi platform to easily integrate high-compute AI acceleration and rapidly build compact, efficient edge intelligence systems. ✨Features ✅Ultra-compact form factor: M.2 M-Key 2242 size & High-performance
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#M5StackNew 🎉LLM-8850 Kit Released LLM-8850 Kit is a high-performance AI accelerator kit designed for edge AI and embedded computing scenarios. It consists of the LLM-8850 Card AI accelerator card, which is based on @Axera AX8850 SoC, and the LLM-8850 PiHat adapter board, enabling the @Raspberry Pi platform to easily integrate high-compute AI acceleration and rapidly build compact, efficient edge intelligence systems. ✨Features ✅Ultra-compact form factor: M.2 M-Key 2242 size & High-performance
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TikTokm5stack
#M5StackNew 🎊 LLM630 Compute Kit: AI-Powered Edge Computing Kit The LLM630 Compute Kit is an #AI large language model (#LLM) inference development kit, designed for edge computing and intelligent interactive applications. Powered by the #Axera #AX630C SoC with a 3.2 TOPs NPU, it delivers efficient AI inference for tasks like computer vision (CV) and LLM processing. ✨ Key Features: 📌 High-Speed Connectivity: Gigabit Ethernet(JL2101-N040C), Wi-Fi 6(#ESP32-C6 Espressif Systems) and an SMA antenna
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#M5StackNew 🎊 LLM630 Compute Kit: AI-Powered Edge Computing Kit The LLM630 Compute Kit is an #AI large language model (#LLM) inference development kit, designed for edge computing and intelligent interactive applications. Powered by the #Axera #AX630C SoC with a 3.2 TOPs NPU, it delivers efficient AI inference for tasks like computer vision (CV) and LLM processing. ✨ Key Features: 📌 High-Speed Connectivity: Gigabit Ethernet(JL2101-N040C), Wi-Fi 6(#ESP32-C6 Espressif Systems) and an SMA antenna
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Applying M5Stack Module-LLM to "Stack-chan"
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