Rugged fanless edge AI computer supporting NVIDIA® or Intel® MXM GPU and 12th Gen Intel® Core™ processor
  • Support NVIDIA® Ampere/Turing™ or Intel® Arc™ A-series MXM GPU, for varied edge AI computing
  • 12th Gen Intel® Core™ (Alder Lake-P, H) 45W CPU, up to 64GB DDR5 4800 SDRAM
  • Patented system architecture and thermal design to ensure -20°C to 60°C fanless operation*
  • 3x 2.5 GbE and 1x GbE ports with optional PoE+ support
  • 1x M.2 M key (NVMe), 1x M.2 B key (4G/ 5G NR), 1x M.2 E key (WiFi 6)
  • 8-48V wide range DC input with built-in Ignition power control
  • MIL-STD-810H and withstand 5 Grms vibration

*R.O.C Patent No. M638395

PE3000G_Front with mount_Vertical
ASUS IoT PE3000G series is a rugged fanless edge AI computer designed for computer-vision applications. Supporting NVIDIA® Ampere/Turing™ or Intel® Arc™ A-series MXM GPU. Specifically, Intel® Arc™ A350M, A370M, A530M, A570M and A730M MXM GPUs are supported by ASUS IoT. This powerful edge AI computer accelerates AI inferencing, and provides high-performance computing and image-processing capabilities.

PE3000G series is driven by an up to 12th Gen Intel® Core™ i7 processor and offers three 2.5 GbE and one GbE ports with optional PoE+ providing a total power budget of 100 W for connected devices or sensors. Furthermore, with optional MXM GPUs, PE3000G series is able to drive up eight display outputs — making it a truly versatile option for industrial use.

Meeting the military-grade MIL-STD-810H standard for shock and vibration, PE3000G series is engineered to withstand the undulations caused by bumpy and uneven roads — ensuring it’s suitable for use in autonomous vehicles. The dual-sided heatsink design ensures the heat generated from internal components is effectively dissipated, maintaining operating stability even in harsh conditions. The ingenious design, which is patent-pending, improves structure for rock-solid stability, solves mechanical tolerance, and provides an optimized thermal solution.

PE3000G series has also been designed to accept a wide range of power inputs, from 8-48V DC, includes built-in ignition power control, and offers a wide range of operating temperatures -20°C to 60°C with a 60W MXM, so it’s made to thrive in extreme environments and diverse scenarios.

In summary, PE3000G series is a powerful edge AI computer that accelerates local data analysis, speeds response times, decreases latency and realizes real-time AI inference for applications as intelligent video analytics, autonomous vehicles applications, intelligent transportation, smart healthcare, medical image processing and more.
ASUS IoT Edge AI systems are designed for AI related solutions

ASUS IoT PE3000G Series with Intel® EIV Development Kit

Deploying AI inference at the edge

In today's fast-evolving AIoT landscape and burgeoning edge AI applications, edge computing stands as a pivotal solution to address the pressing needs for real-time data processing, minimal latency, and rapid responses. The effectiveness of edge computing largely hinges on the computing capability and reliability of the edge device. Equally vital are user-friendly software tools that come pre-optimized for hardware compatibility, significantly expediting development, mitigating compatibility issues, and streamlining deployment.

The ASUS IoT PE3000G series with Intel® EIV Development Kit offers a potent combination that empowers the realization of efficient edge AI applications. This synergy brings forth a host of benefits, including seamless hardware and software compatibility, accelerated inference processing, and simplified deployment procedures. Ultimately, this synergy empowers developers to effortlessly deploy AI and computer vision applications that seamlessly operate at the edge, ensuring a smoother and more efficient edge computing experience.

Seamless integration with Intel® technologies

PE3000G series has been validated for seamless integration with Intel’s Edge Insights for Vision, a comprehensive solution optimized for Intel® architecture that enables computer vision and deep-learning inference at the edge. This versatile package offers containerized or stand-alone runtime options and includes scripts for Intel® Graphics driver installation and OpenVINO™ inferencing setup on Intel® Processors and Graphics devices. With PE3000G series’ support for CPU, Integrated GPU, and Intel® Arc™ Discrete GPU, all backed by Intel's Distribution of OpenVINO™ toolkit, developers can efficiently create and optimize AI and computer vision applications, such as this Automated Self-Checkout Reference Implementation. OpenVINO™ maximizes performance across Intel hardware, including accelerators.
For more information and instructions, please visit Edge Insights for Vision from Intel.

Flexible, resilient and ready to empower AI in diverse environments

ASUS IoT PE3000G series is a rugged, fanless edge AI computer tailor-made for computer vision tasks, boasting compatibility with Intel® Arc™ A-series MXM GPUs for high-performance AI inferencing and image processing. Its innovative dual-sided heatsink design ensures efficient heat dissipation, guaranteeing operational stability, even in challenging environments. This patented design not only bolsters structural integrity but also resolves mechanical tolerance issues while providing an optimized thermal solution.

Designed to accommodate a wide power input range of 8-48V DC, featuring built-in ignition power control, and capable of operating within a broad temperature range of -20°C to 60°C with a 50W MXM, the PE3000G series excels in extreme conditions and diverse scenarios. Offering unparalleled flexibility and reliability, it serves as an ideal choice for various edge AI applications. Engineered with robust power delivery, fanless thermal efficiency, and mechanical ruggedness, it emerges as the ultimate solution for demanding edge AI workloads and scenarios.
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    Dual-side Heatsink

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    Fanless Design

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    Rugged Design

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    Embedded Compact GPU Solution

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    Anti-vibration Design

Target Applications

  • ASUS IoT Edge AI systems can be used in factory or warehouse Surveillance applications


  • ASUS IoT Edge AI systems can be used in Machine Vision applications

    Machine Vision

  • ASUS IoT Edge AI systems can be used in Healthcare applications


  • ASUS IoT Edge AI systems can be used in Gaming applications


Full Spectrum of Edge AI Systems and Applications

ASUS IoT offers a comprehensive portfolio of edge AI systems to address the diverse range of market applications. Powered by embedded MXM GPU modules from both NVIDIA® and Intel®, and PCI Express graphics cards based on NVIDIA® Quadro GPUs, as well as edge AI platforms utilizing NVIDIA® Jetson™ modules and other embedded form factors, these systems are designed to accelerate edge computing and AI workloads. With a focus on performance, long lifecycle, power consumption, and form factor, ASUS IoT provides a full spectrum of solutions to meet various embedded requirements. Whether it's high-performance computing or specific form factors, our edge AI systems deliver the power and flexibility needed to excel in diverse applications.
This ASUS IoT Edge AI systems product portfolio lineup shows all 7 edge computers in this series in order of TOPS performance, size, power efficiency and high throughput.
  • Download ASUS IoT brochure

    ASUS IoT Brochure

    Learn more about ASUS Iot Comprehensive offerings.
  • Download ASUS IoT introduction flyer

    Accelerate Digital Transformation with ASUS loT

    Learn more about ASUS Iot Comprehensive offerings.
  • Download ASUS IoT Edge AI systems flyer

    ASUS IoT Edge AI Systems

    Learn more about how ASUS IoT empowers AI in diverse environments.


  • Q1. Where are the business opportunities for embedded graphics?

    In the modern world, the AI revolution brings opportunities in applications such as industrial automation, autonomous vehicles, video analytics, and more. All these operations rely heavily on graphics computing and matrix multiplication. GPU (Graphics Processing Unit) computing precisely fulfills these requirements, particularly when it comes to parallel processing and computationally intensive workloads. It serves as an AI engine in the field, where real-time operations take place. When computers are built ruggedized, it unlocks the possibility to process data locally, reducing latency and conserving bandwidth, making mission-critical calculations reliable and efficient. Thus, GPU computability and ruggedness are the two indispensable elements in edge AI.
  • Q2. What makes ASUS IoT stand out from other brands?

    Over the years, ASUS has earned a prestigious reputation for motherboard and graphics card design. Across a growing spectrum of products, ASUS continuously challenges itself to adapt and evolve. Having served various product categories on a global scale for three decades, ASUS has cultivated robust customer service capabilities and a strong supply chain management system. With this proven foundation of competency, ASUS IoT, a dedicated Business Unit focusing on industrial applications, builds industrial PC offerings with pride and confidence.
  • Q3. What is the benefit of purchasing a GPU with an edge AI computer?

    To start with, it spares you the effort of logistics, installation, and testing. Secondly, it addresses quality concerns such as compatibility and mechanical strength. When the deployment environment involves different levels of shock and vibration, the mechanical design of the GPU retainer becomes critical. Lastly, after a batch of equipment has been running for years, certain problems may arise. It's always better to reach out to a single vendor to sort it out, instead of contacting multiple vendors for different key components. The efforts can be substantial once you take a few more things into account. Unity of the whole system can be a solution for optimal TCO (Total Cost of Ownership).
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