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Astrial IMX8MP H8

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High-performance industrial System-on-Module (SoM) designed for edge AI, automation, and signal processing. Powered by the NXP i.MX8M Plus processor and Hailo-8 AI accelerator, it delivers exceptional computing and AI performance in a compact, fanless design..

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The Astrial IMX8MP H8 combines advanced AI acceleration and robust processing for industrial automation, edge computing, and machine vision applications. The integration of Hailo-8 and i.MX8M Plus delivers real-time performance for tasks like video analytics, object detection, and predictive maintenance.

Its CM4-compatible design simplifies integration into existing carrier boards, while the wide interface range supports diverse industrial and AI use cases. With Yocto Linux support and a fanless, energy-efficient build, the IMX8MP H8 ensures long-term reliability and flexibility for embedded solutions in factories, robotics, and IoT gateways.

  • Hailo-8 AI processor with up to 26 TOPS at only 2.5 W

  • NXP i.MX8M Plus SoC (4× Cortex-A53 + Cortex-M7, NPU 2.3 TOPS)

  • 8 GB LPDDR4 memory and 32 GB eMMC storage

  • CM4-compatible header for seamless carrier board integration

  • Rich industrial interfaces: HDMI, MIPI DSI/CSI, Gigabit Ethernet, CANBUS, SPI, I²C, UART

  • Fanless operation with low power consumption (< 10 W peak)

  • Linux Yocto LTS and GitHub development support

  • AI Accelerator: Hailo-8, 26 TOPS @ 2.5 W

  • Processor: NXP i.MX8M Plus (4× Cortex-A53 + Cortex-M7, NPU 2.3 TOPS)

  • Memory: 8 GB LPDDR4 32-bit

  • Storage: 32 GB eMMC

  • Connectivity & Interfaces:

    • 1 × USB 2.0

    • 2 × UART

    • 3 × I²C

    • 2 × SPI

    • 2 × SDIO

    • 1 × PCM

    • 1 × PWM

    • 1 × HDMI

    • 1 × 4-lane MIPI DSI

    • 1 × 2-lane MIPI CSI

    • 1 × 4-lane MIPI CSI

    • 1 × CANBUS

    • 26 × GPIO header

    • Gigabit Ethernet PHY

  • Power Consumption: ~3 W (idle), < 10 W (peak)

  • Dimensions: 55 mm × 40 mm (approx.)

  • Cooling: Fanless design

  • Software Support: Linux Yocto Kirkstone / LTS

  • Applications: Industrial automation, edge AI, machine vision, smart factories, IoT gateways, signal processing