ASUS IoT Edge AI systems are designed for AI related solutions

All-New Edge AI Systems Shaping the Future


  • 14th Gen Intel® Core™ i9

  • Support Dual 450W GPUs

  • Rugged & Durability Design

Revolutionize computing power with edge AI systems

The Game-Changing Platform for AI Application

Experience the power of edge computing redefined with ASUS IoT's latest series —PE8000G, PE6000G, PE5101D, PE5100D and PE4000G. These powerful edge AI systems are now equipped with the cutting-edge 14th Gen Intel® Core™ processors, delivering an unparalleled combination of performance and energy efficiency. With support for dual PCIe x16 high-performance GPU cards, up to 900 W TDP, and dual DDR5 5600 SO-DIMM memory up to 64 GB, these systems are designed to handle the most intensive AI workloads at the edge.
ASUS IoT edge AI systems combine GPU computing with AIoT potential. They offer embedded MXM GPU modules to support Intel and NVIDIA® Jetson-based platforms for diverse market needs. With unparalleled performance, they enable real-time AI inferencing at the edge, transforming industries. Designed with a rugged, fanless, anti-vibration build, wide temperature support and low power consumption, they excel in demanding edge AI applications like factory automation, machine vision, video analytics, and autonomous vehicles. ASUS IoT ensures robustness and reliability for the most challenging scenarios, driving innovation and efficiency in this new era.
Chipset icon with blue glowing lines to show powerful computing performance

Leading dual-GPU and accelerated AI computing power

ASUS IoT edge AI systems are designed with double GPU compute power to efficiently run multiple models for complex AI tasks. Our systems boast fail-safe software operations for enhanced accuracy and precision in AI inference. On the hardware side, they feature redundant GPU backup accompany with fanless and ruggedized design, ensuring uninterrupted and durable performance even if one card fails – perfect for space-saving and budget-conscious clients. Additionally, our dual-GPU setup allows for diverse applications such as simultaneous preprocessing, image analysis, perception and inference, providing customers with a versatile and deep understanding of the system's functionalities.

Versatile computer vision applications

An ASUS IoT PE4000G edge computer merged with factory production line background

Rich peripheral expandability for machine vision

With powerful GPUs, ASUS IoT edge AI systems are fully equipped to support deep-learning algorithms essential for advanced image processing tasks.  PCIe expandability empowers integration of add-on cards, such as frame grabbers and motion cards. A variety of rich I/O options, including USB, Ethernet, and Power over Ethernet (PoE), cater to a wide range of cameras and peripherals. For industrial-device compatibility, ASUS edge systems feature isolated digital I/O (DIO) and serial ports, ensuring secure and reliable connections. Additionally, the include of M.2 expansion slots supports wireless connectivity, enabling the integration of Wi-Fi modules for untethered communication.
An ASUS IoT PE3000G edge computer merged with warehouse autonomous vehicles background

Ready to scale up for autonomous vehicles

ASUS IoT edge AI system are also engineered to meet the rigorous demands of on-the-go AI processing. Robust GPU support enables sophisticated AI-perception capabilities essential for real-time decision-making. A plethora of connectivity options, including rich I/O, USB, and Ethernet for cameras, dedicated GbE for Lidar, and USB interfaces for mmWave radar systems, ensures seamless integration with a wide array of vehicular sensors – not to mention wide-range 8-48V DC-in with built-in ignition power control. Expansion modules include LTE/5GNR (M.2) for reliable connectivity and CAN bus for vehicular communication networks. They’re also designed with anti-shock and vibration resilience, ready for challenging environments.
An ASUS IoT PE8000G edge computer merged with cross road background with cars and pedestrians

Engineered for intelligent video analytics

ASUS IoT edge AI systems are leveraging powerful GPU support to perform AI inference with remarkable efficiency. Designed to connect effortlessly with IP cameras, our systems include Power over Ethernet (PoE) capabilities, as well as USB ports to accommodate a variety of peripherals. To remains connected in diverse environments, M.2 modular expansion empowers Wi-Fi and LTE/5GNR cellular networks. Built to operate under extreme conditions, the ASUS edge AI systems can endure temperatures ranging from -20°C to 60°C, making them the reliable choice for outdoor or industrial settings where rugged performance is crucial for continuous intelligent video analysis operations.

Full Spectrum of Edge AI Systems

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, 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 17 edge computers in this series in order of TOPS performance, size, power efficiency and high throughput.

Product for your solution

PE8000G
PE8000G

Rugged edge AI GPU computer supporting up to dual 450W GPU card and 14th/13th/12th Gen Intel® Core™ processor

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PE6000G
PE6000G

Rugged edge AI GPU computer supporting up to 450W GPU card and 14th/13th/12th Gen Intel® Core™ processor

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PE4000G
PE4000G

14th/13th/12th Gen Intel® Core™ rugged edge GPU computer supports up to 200 W GPU and versatile expansion capabilities

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PE5101D
PE5101D

Rugged High Performance Edge Computer Supports Intel® 14th/13th/12th Core™ CPU with Intel® R680E Chipset, 2.5” Hot-Swappable HDD Tray, RAID 0/1 and up to 200W Graphics Card.

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PE5100D
PE5100D

Rugged High Performance Edge Computer Supports Intel® 14th/13th/12th Core™ CPU with Intel® R680E Chipset, 2.5” Hot-Swappable HDD Tray, RAID 0/1 and Rich I/O.

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PE3000G
PE3000G

Rugged fanless edge AI computer supporting NVIDIA® or Intel® MXM GPU and 12th Gen Intel® Core™ processor

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PE400D
PE400D

Intel 10th Gen. Core-I and Xeon processors Intelligent Edge server with versatile connectivity, 3 expandable PCIe slots, supporting AI inferencing

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PE2101N​
PE2101N​

Arm System, NVIDIA Jetson, LPDDR5, USB3, GbE, 10G LAN, 4 POE LAN, HDMI, M.2 E, M.2 M, M.2 B, 9-36V

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PE2100N​
PE2100N​

Arm System, NVIDIA Jetson, LPDDR5, USB3, GbE, 10G LAN, 4 POE LAN, HDMI, M.2 E, M.2 M, M.2 B, 9-36V

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PE1101N​
PE1101N​

Arm System, NVIDIA Jetson, LPDDR5, USB3, Dual LAN, HDMI, M.2 E, M.2 M, M.2 B, AEM, Dual SIM, 12-24V

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PE1100N
PE1100N

Arm System, NVIDIA Jetson™ Orin™, LPDDR4, eMMC, USB3, Dual LAN, HDMI, M.2 E, M.2 B, M.2 M, AEM, Dual SIM, 12-24V

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PE1000N
PE1000N

Arm System, NVIDIA Jetson, LPDDR4, eMMC, USB3, Dual LAN, HDMI, M.2 E, M.2 M, mini PCIe, AEM, Dual SIM, 12-24V

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Resources

  • ASUS IoT Brochure

    Learn more about ASUS IoT comprehensive offerings.
    Download

  • Accelerate Digital Transformation with ASUS loT

    Learn more about ASUS IoT advantages.
    Download

FAQ

  • 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).

  • Q4. What is the length of the warranty coverage and lifecycles of edge AI computers?

    Typical warranty covers 2-3 years, depending on regional warranty policies. Extensions can be offered upon request. Edge AI computers offer a standard lifecycle of 7 years. Extensions on the lifecycle are also possible upon request. For embedded graphics cards, the lifecycles are listed below:
    A table shows Jetson SoM, Intel MXM, NVIDIA RTX embedded graphics card's lifecycle for 5-10 years, 3-5 years, 2+ years and 8 years respectively.

    Note: May adjust based on module vendor’s roadmap

  • Q5. How to choose the ideal edge AI computer for certain vertical applications?

    From a computing workload capacity point of view, the PE4000G, PE6000G, and PE8000G may catch your eye. With the latest Intel 12th Gen desktop platform, GPUs ranging from a single 200W TDP GPU to dual 450W TDP GPUs, and dual DDR5 SO-DIMM, this series offers the strongest combination of computational elements. When focusing on specific inference usages, the NVIDIA Jetson-based PE1000N series is undoubtedly the top candidate. It offers multiple SoM options, ranging from Nano, TX2 NX, Xavier NX, Orin Nano, Orin NX, and more. With efficient power consumption and a compact footprint, the PE1000N series is not only scalable in computing capability but also ideal for large-scale deployment, even in outdoor environments. Finally, the PE3000G amazes you with its extraordinary durability. This GPU computer boasts 100% fanless operation, an embedded Intel MXM GPU, and a patented passive thermal solution. It is noise-free, has a prolonged MTBF (Mean Time Between Failures), features an embedded GPU, and offers anti-shock-and-vibration capabilities that exceed military standards. These remarkable features make it stand out.