M5stack LLM (Large Language Model) Module (AX630C) Edge AI Development Board Suitable for Offlin product image
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M5stack LLM (Large Language Model) Module (AX630C) Edge AI Development Board Suitable for Offlin product image
M5stack LLM (Large Language Model) Module (AX630C) Edge AI Development Board detail image 2
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M5stack LLM (Large Language Model) Module (AX630C) Edge AI Development Board Suitable for Offline Model Operation

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$99.65
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$142.35
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M5Stack Module LLM AX630C Edge AI Inference Module

M5Stack Module LLM is a compact offline AI inference module based on the AX630C SoC. It is intended for embedded voice interaction, local language-model experiments and edge AI systems that require on-device processing rather than a continuous cloud connection.

M5Stack Module LLM AX630C edge AI inference module

Compute Platform

  • AX630C SoC with dual Cortex-A53 processors at 1.2 GHz.
  • NPU performance: up to 3.2 TOPS at INT8 and 12.8 TOPS at INT4.
  • 4 GB LPDDR4: 1 GB system memory plus 3 GB dedicated to hardware acceleration.
  • 32 GB eMMC 5.1 on-board storage.
  • Listed typical power use: 5 V / 0.5 W idle and 5 V / 1.5 W at full load.

M5Stack Module LLM AX630C hardware features

Integrated Functions

  • StackFlow framework support for edge AI development.
  • Built-in KWS wake-word, ASR speech-recognition, LLM and TTS functions.
  • MSM421A microphone, AW8737 audio driver and 8 ohm 1 W speaker.
  • Three RGB status LEDs driven by LP5562.
  • Serial communication defaults to 115200 8N1 and is adjustable.

M5Stack Module LLM interfaces and audio functions

Development and Updates

  • Compatible with Arduino, UiFlow and documented StackFlow workflows.
  • Firmware upgrade is available through an SD card or the Type-C port.
  • The module includes a button for entering firmware-download mode.
  • Listed dimensions: 54 x 54 x 13 mm; operating temperature: 0 to 40 C.

M5Stack Module LLM development and upgrade information

Model Compatibility

  • This module uses AXERA-specific model formats; standard public model files cannot necessarily be loaded directly.
  • Select model packages made for the AX630C platform and follow the official software-update workflow.
  • Confirm memory, model, peripheral and host-device compatibility before planning a deployment.

M5Stack Module LLM application example

M5Stack Module LLM package information

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