DX-AIPlayer

    Real-Time Vision AI for Robotics and Factory Automation.
    A compact edge AI system powered by DEEPX, built to deploy vision models
    for industrial automation, inspection, and machine intelligence.

    Get the Highlights.

    Featured Resources
    Industrial brawn. Intelligent Core.
    Built for robotics and industrial automation.
    Real-time edge AI meets rock-solid reliability.
    The Ultimate AI Lab on Your Desk.
    From classroom basics to breakthrough research.
    The ultimate engine to power your AI ideas.
    Next-Generation Physical AI Processor.
    Unparalleled Edge Compute Power.
    Accelerating Innovation in Robotics & Automation.
    Design

    Small Size. Giant Leaps.

    450g Ultra-compact size
    Powerful AI Performance
    Fitting in the palm of your hand at just 95 x 95 x 45 mm, this ultra-compact AI Edge Box weighs just 450g. But don't let the size fool you—it packs enough power to run the future of Smart Cities, Robotics, and Smart Factories.
    9.5
    cm
    450g Ultra-compact size Powerful AI Performance
    Fitting in the palm of your hand at just 95 x 95 x 45 mm, this ultra-compact AI Edge Box weighs just 450g. But don't let the size fool you—it packs enough power to run the future of Smart Cities, Robotics, and Smart Factories.
    9.5
    cm

    RS-232/ 422/ 485 USB 3.2

    Left ports

    2x Ethernet / 2x USB 3.2 HDMI and DP

    Right ports

    RS-232/ 422/ 485 Audio Jacks

    Back ports

    Technical Specifications.

    CPU

    Intel® Processor N97

    Graphics

    Intel® UHD Graphics (12th Gen)
    H.264/265 HW Decode (8CH FHD)

    AI Accelerator (DX-M1)

    Performance: 25 TOPS
    Power Consumption: 1~5W
    4GB LPDDR5 Memory (M.2 M Key)

    Memory

    RAM: 8GB LPDDR5

    Display

    HDMI 2.0b x 1
    DP 1.2 x 1

    Network

    Gb Ethernet (RJ-45) x 2
    Wi-Fi/BT (Optional, M.2 E-key)

    I/O Ports

    USB 3.2 Gen 2 x 3 (Type-A)
    USB 2.0 x 2
    COM x 2 / Audio (Line out, Mic in)

    Operating System

    Windows 11 / 10
    Ubuntu (24.04/22.04/20.04 LTS)
    Support to Yocto Project / Docker

    Storages

    eMMC Onboard 64GB

    Power Supply

    12V DC-in, 5A

    AT/ATX
    15W ~ 37W (Typical)

    Environment

    Operating Temp: 0°C ~ 60°C
    Storage Temp: -20°C ~ 70°C

    Certification

    KC, CE, FCC, RoHS
    Performance
    Bring Physical AI to the Edge with
    DX-M1 Compact M.2 AI Acceleration Module
    Power-Efficient AI Performance
    DX-M1 delivers up to 25 TOPS of AI acceleration within a compact 2 to 5W power envelope, helping edge devices run real-time AI workloads with lower system power consumption.
    Dedicated High-Speed Memory
    With 4GB of LPDDR5 memory, DX-M1 supports larger AI workloads and multi-model execution while reducing dependency on host system memory.
    Streamlined AI 
Deployment
    DX-M1 supports a developer-friendly software stack for converting, optimizing, and deploying models from popular AI frameworks such as PyTorch, TensorFlow, and ONNX.
    Reliable Operation in 
Edge Environments
    Engineered for industrial edge deployments, DX-M1 operates reliably from -40°C to 85°C, ensuring stable AI performance in demanding conditions.
    *This section is a specification for the DX-M1 M.2 Module only. It is not a standard for DX-AIPlayer PCs.
    More Details

    See DEEPX in Action

    DEEPX x Ultralytics YOLO

    Real-Time Object Detection & Segmentation
    Run YOLO-based object detection and segmentation workloads on DEEPX-powered edge systems for smart cameras, robotics, VMS, and industrial automation.

    DEEPX x Baidu PaddlePaddle

    OCR & Document AI at the Edge
    Deploy PaddlePaddle-based OCR and document AI workloads on DEEPX-powered edge systems for real-time recognition and automation.

    DEEPX Open-source Physical AI Alliance

    Build and deploy Physical AI applications faster by connecting open-source AI frameworks
    with DEEPX’s power-efficient NPU acceleration.

    Target Applications

    Developer Resources

    Vision AI Platforms
    Ultralytics YOLO Export CLI/SDK
    Convert and export YOLO models for DEEPX acceleration via CLI/SDK, enabling custom integration and automated deployments.
    Go to Link
    Ultralytics HUB Export
    Use a simplified model export workflow to prepare YOLO models for edge AI deployment on DEEPX-powered systems.
    Go to Link
    Baidu PaddlePaddle Resources
    Access PaddlePaddle documentation and ecosystem resources for developing AI models that can be optimized for DEEPX-powered edge deployment.
    Go to Link
    Baidu PaddlePaddle GitHub
    Explore open-source repositories, pre-trained models, and tools that support AI development workflows for DEEPX-powered edge systems.
    Go to Link
    DEEPX SDK & Developer Tools
    Developer Portal
    Access documentation, SDK resources, and deployment guides to convert, optimize, and run AI models on DEEPX NPU hardware.
    Go to Link
    GitHub
    Accelerate development with sample code, reference applications, and demo projects for DEEPX-powered AI deployment.
    Go to Link

    Ready to Build with DEEPX?

    Choose the purchasing path that fits your project.

    Online Purchase

    Quickly order available DEEPX products through DigiKey for evaluation, prototyping, and early development.
    Buy Now

    Enterprise Sales

    Contact DEEPX for volume pricing, custom solutions, technical consultation, and enterprise deployment support.

    Request a Quote