LLM (Large Language Model) Module (AX630C) AI Development Board Suitable for Offline Model Operation

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Oversigt

  • Module LLM is an integrated offline Large Language Model (LLM) inference module designed for terminal devices that require efficient and intelligent interaction. Whether for smart homes, voice assistants, or industrial control, Module LLM provides a smooth and natural AI experience without relying on the cloud, ensuring privacy and stability. Integrated with the StackFlow framework and for Arduino/UiFlow libraries, smart features can be easily implemented with just a few lines of code.
  • Powered by the advanced AX630C SoC processor, it integrates a 3.2 TOPs high-efficiency NPU with native support for Transformer models, handling complex AI tasks with ease. Equipped with 4GB LPDDR4 memory and 32GB eMMC storage, it supports parallel loading and sequential inference of multiple models, ensuring smooth multitasking.
  • It features a built-in microphone, speaker, TF storage card, USB OTG, and RGB status light, meeting diverse application needs with support for voice interaction and data transfer. The module offers flexible expansion: the onboard SD card slot supports cold/hot firmware upgrades, and the UART communication interface simplifies connection and debugging, ensuring continuous optimization and expansion of module functionality.
  • The USB port supports master-slave auto-switching, serving as both a debugging port and allowing connection to additional USB devices like cameras.Plug and play with M5 hosts, Module LLM offers an easy-to-use AI interaction experience.
  • Users can quickly integrate it into existing smart devices without complex settings, enabling smart functionality and improving device intelligence. This product is suitable for offline voice assistants, text-to-speech conversion, smart home control, interactive robots, and more.

LLM (Large Language Model) Module (AX630C) AI Development Board Suitable for Offline Model Operation Beskrivelse

Module LLM is an integrated offline Large Language Model (LLM) inference module designed for terminal devices that require efficient and intelligent interaction. Whether for homes, voice assistants, or industrial control, Module LLM provides a smooth and natural AI experience without relying the cloud, ensuring privacy and stability. Integrated with the StackFlow framework and for /UiFlow libraries, features can be easily implemented with just a few lines of code.
Powered by the advanced AX630C SoC processor, it integrates a 3.2 TOPs high-efficiency NPU with native support for Transformer models, handling complex AI tasks with ease. Equipped with 4GB LPDDR4 memory and 32GB eMMC storage, it supports parallel loading and sequential inference of multiple models, ensuring smooth multitasking.
It features a built-in microphone, speaker, TF storage card, USB OTG, and RGB status light, meeting diverse application needs with support for voice interaction and data transfer. The module offers flexible expansion: the onboard card slot supports cold/hot firmware upgrades, and the UART communication interface simplifies connection and debugging, ensuring continuous optimization and expansion of module functionality.
The USB port supports master-slave auto-switching, serving as both a debugging port and allowing connection to additional USB devices like cameras.Plug and with M5 hosts, Module LLM offers an easy-to-use AI interaction experience.
Users can quickly integrate it into existing devices without complex settings, enabling functionality and improving device intelligence. This product is suitable for offline voice assistants, text-to-speech conversion, home control, interactive robots, and more.

Colour:black
Material:PCB+Plastic
Due to different batches, there may be differences in produ

Detaljer

OPC PVCCJT5
Koder 6034197945329 (EAN)

Produktdata

Height4cm
Width9cm
Length14cm
Weight0.072kg
ColourBlack
MaterialPCB+Plastic

Sammenlign sælgere for LLM (Large Language Model) Module (AX630C) AI Development Board Suitable for Offline Model Operation

  • Ny fra 1.549,77 kr.
Sælger Bedømmelser Garanti Returneringer Pris Levering I alt Antal
Afsendt fra: Hong Kong
(51 anmeldelser)
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30 dage
Gratis retur Nej
1.392,68 kr.
+157,09 kr. Delivery
Forventet levering: 19-25 jun.
1.549,77 kr.
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