全新推出 - Introduces BX‑M5600 Series – AI‑Ready High‑Performance Fanless Embedded Computer for Edge Applications

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CONTEC proudly announces the launch of the BX‑M5600 Series, the latest addition to its BX‑M series of fanless embedded box computers. Designed to meet the growing demand for edge AI computing, the BX‑M5600 supports Intel® Core Ultra 3 / 5 / 7 Processors (Series 1) — formerly known as Meteor Lake — with 15W and 45W TDP options, delivering an optimal balance of performance, power efficiency, and thermal reliability.

BX-M5600 Series

BX-M5600 (TDP 15W)
BX-M5600 (TDP 15W)

BX-M5600 (TDP 45W)
BX-M5600 (TDP 45W)

Model Description
BX-M5600-GDC00000 (TBD) Intel® Core Ultra 5 Processor (Series 1) 125HL, TDP 45W, DDR5-5600 MHz 16GB Memory (Non-ECC)
BX-M5600-GIC00000 (TBD) Intel® Core Ultra 7 Processor (Series 1) 155HL, TDP 45W, DDR5-5600 MHz 16GB Memory (Non-ECC)
BX-M5600-G3C00000 (TBD) Intel® Core Ultra 3 Processor (Series 1) 105UL, TDP 15W, DDR5-5600 MHz 16GB Memory (Non-ECC)
BX-M5600-G4C00000 (TBD) Intel® Core Ultra 5 Processor (Series 1) 125UL, TDP 15W, DDR5-5600 MHz 16GB Memory (Non-ECC)
BX-M5600-G7C00000 (TBD) Intel® Core Ultra 7 Processor (Series 1) 155UL, TDP 15W, DDR5-5600 MHz 16GB Memory (Non-ECC)

Main Features

  • AI‑Optimized Platform with Advanced Thermal Design

    The BX‑M5600 Series is engineered to enable advanced AI workloads at the edge. Powered by Intel Core Ultra processors with an integrated AI NPU, the system accelerates inference tasks while maintaining low power consumption — ideal for long‑term, always‑on industrial deployments.
    In a first‑ever design for CONTEC box computers, the BX‑M5600 introduces E1.S enterprise‑grade storage support. Alongside traditional M.2 Key M 2280 NVMe, the dual removable storage bays, offering superior thermal characteristics and improved reliability for continuous, high‑load operation. This innovative storage architecture enables secure OS and data separation while enhancing system longevity.

  • Dedicated AI NPU for Efficient Edge AI Inference

    Powered by Intel® Core Ultra Processors (Series 1), the BX-M5600 integrates a dedicated AI Neural Processing Unit (NPU) designed specifically for AI inference workloads.
    Unlike traditional CPU or GPU-based AI processing, the built-in NPU enables energy-efficient, low-latency AI execution, making it ideal for fanless and always-on edge systems.
    By offloading AI inference tasks to the NPU, the BX-M5600 allows the CPU and GPU to focus on system control, visualization, and data processing — improving overall system responsiveness, thermal stability, and long-term reliability.
    This architecture is especially beneficial for applications such as machine vision, intelligent monitoring, predictive maintenance, and smart automation, where continuous AI operation is required.

  • Rich I/O and High Speed Connectivity

    Despite its compact form factor, the BX-M5600 delivers extensive I/O flexibility to support a wide range of industrial and edge AI use cases:

    • 4 × Ethernet ports: 3 × 2.5GbE, 1 × 1GbE via Intel industrial grade LAN controllers
    • 4 × Serial ports: 2 × RS-232 / RS-422 / RS-485, 2 × RS-232
    • USB interfaces: 4 × USB 3.2, 2 × USB 2.0
    • Multi-display support: DisplayPort, HDMI, USB Type-C
    • 1 × Digital I/O interface (GPIO based)
    These interfaces ensure seamless integration with cameras, sensors, control equipment, and networking devices across diverse application environments

  • Designed for Industrial Reliability and Security

    To address the rigorous requirements of industrial and edge deployments, the BX‑M5600 incorporates:

    • TPM 2.0 security for trusted computing and data protection
    • Wide DC input voltage (9–48V) with comprehensive circuit protection
    • Fanless, compact chassis optimized for harsh and space‑constrained environments
    This robust design makes the BX‑M5600 well‑suited for digital signage, factory automation, machine vision, smart transportation, and edge AI gateways.

Availability

The BX-M5600 Series will be available starting June 2026.

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