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Futuristic image showcasing various ASUS Edge AI systems with blue accents against a starry, globe-themed background. Text highlights advanced features.

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 applications

Experience the power of edge computing redefined with ASUS's latest series —RUC-1000G, PE8000G, PE6000G, PE5101D,PE4000G and PE3100G. These powerful edge AI systems are now equipped with the cutting-edge Intel® Core™ Ultra 200S series CPU and Intel® Core™ (Series 2) processors, delivering an unparalleled combination of performance and energy efficiency.
With PCIe® 5.0 and 600W high-performance GPU support, delivering 4000 AI TOPS and dual DDR5 6400 SO-DIMM memory up to 64GB, these systems are designed to handle the most intensive AI workloads at the edge.
ASUS edge AI systems combine GPU computing with AIoT potential. They offer embedded both PCIe GPU and MXM GPU modules to support Intel latest 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. Moreover, with IEC 62443-4-1 cybersecurity compliance, ASUS 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 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.
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Versatile computer vision applications

An ASUS PE4000G edge computer merged with factory production line background

Rich peripheral expandability for machine vision

With powerful GPUs, ASUS 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 PE3000G edge computer merged with warehouse autonomous vehicles background

Ready to scale up for autonomous vehicles

ASUS 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 PE8000G edge computer merged with cross road background with cars and pedestrians

Engineered for intelligent video analytics

ASUS 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 offers a comprehensive portfolio of edge AI systems to address the diverse range of market applications. Powered by PCI Express graphics cards based on NVIDIA Blackwell GPUs and embedded MXM GPU modules from both NVIDIA and Intel, 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 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.

X86-based Edge AI Portfolio

  • Embedded

  • Edge AI

  • Edge Server

Chart titled 'X86-based Edge AI Portfolio' shows various GPU models categorized by performance. Devices range from embedded to edge AI and servers.
PCIe GPU

PCIe GPU

Up to 220W GPU
39.6 TFLOPS (FP32)
634 TFLOPS (FP8)

Up to 220W GPU
EBS-I10/I70

EBS-I10/I70

EB-ITX-B

EB-ITX-B

EBS-A710

EBS-A710

PE5101D

PE5101D

PE4000G

PE4000G

MXM GPU

Type A

Type A

PE3000G

PE3000G

Up to 450W GPU
91.1 TFLOPS (FP32)
1457 TFLOPS (FP8)

Up to 450W GPU
MDS-M700

MDS-M700

EBS-A700

EBS-A700

EBS-4U

EBS-4U

PE6000G

PE6000G

MXM GPU

Type B

Type B

PE3100G

PE3100G

Up to 2x 450W GPU
2x 91.1 TFLOPS (FP32)
2x 1457 TFLOPS (FP8)

Up to 2x 450W GPU
EBS-4U700

EBS-4U700

PE8000G

PE8000G

EBS-4U900

EBS-4U900

Up to 3x450W GPU
125 TFLOPS (FP32)
4000 TFLOPS (FP8)

Up to 3x450W GPU
EBS-4U1000

EBS-4U1000

Up to 600W GPU
125 TFLOPS (FP32)
4000 TFLOPS (FP8)

Up to 600W GPU
RUC-1000G

RUC-1000G

Up to 2 600W GPU
125 TFLOPS (FP32)
4000 TFLOPS (FP8)

Up to 2 600W GPU
EBS-5U500

EBS-5U500

Up to 4 600W GPU
125 TFLOPS (FP32)
4000 TFLOPS (FP8)

Up to 4 600W GPU
EBS-6U700

EBS-6U700

Arm-based Edge AI Portfolio

Infographic showcasing ASUS IoT Arm-based Edge AI Portfolio with modules AGX Thor, AGX Orin, Orin NX, and Orin Nano. Each module line shows performance in TFLOPS, from 20-2070, with images of different computing devices. Super Mode options are highlighted for Orin NX and Orin Nano. Layout is organized on a black background for easy readability.
Super Mode
34 ~ 67 TOPs

Orin Nano
20~40 TOPs

Orin Nano 20~40 TOPs
PE1100N

PE1100N

PE1100N V2

PE1100N V2

PE1102N

PE1102N

PE1103N

PE1103N

Super Mode
117 ~ 157 TOPs

Orin NX
70~100 TOPs

Orin NX 70~100 TOPs
PE1100N

PE1100N

PE1100N V2

PE1100N V2

PE1102N

PE1102N

PE1103N

PE1103N

AGX Orin
200~275 TOPs

AGX Orin 200~275 TOPs
PE2100N

PE2100N

PE2101N

PE2101N

AGX Thor
2070 TFLOPs

AGX Thor 2070 TFLOPs
PE3000N

PE3000N

Product for your solution

RUC-1000G
RUC-1000G

19-inch 2U rugged rack edge AI computer, supporting Intel® Core™ Ultra 200S series CPU, RAID 0/1 and up to 600W GPU with PCIe® 5.0 to delivering up to 4,000 AI TOPS

RUC-1000D
RUC-1000D

Half-rack and rugged fanless edge computer, supporting Intel® Core™ Ultra 200S series CPU with Intel W880 chipset and up to six 2.5-inch SSD, RAID 0/1/5/10 and rich I/O.

PE8000G
PE8000G

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

PE6000G
PE6000G

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

PE4000G
PE4000G

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

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.

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.

PE3000G
PE3000G

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

PE400D
PE400D

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

PE3000N​
PE3000N​

Next-generation Edge AI platform accelerated by NVIDIA® Jetson Thor™, 5 GbE, GMSL, supporting LTE/5G/GNSS module, DIO, COM, 12-60V

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

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

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

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

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

Resources

  • Four ASUS IoT embedded edge computers line-up, from left to right models are PE8000G, PE5101D, EBS-S500, EBS-I300.

    ASUS IoT Embedded Edge Systems Flyer

    Accelerating loT Technology in Smart Manufacturing
    Download
  • All-New Edge AI Systems Flyer

    Unlock unparalleled AI computing with ASUS IoT Edge.
    Download
  • ASUS IoT Brochure

    Learn more about ASUS IoT comprehensive offerings.
    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 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 AIoT Solution 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 the perspective of computing-workload capacity, ASUS IoT RUC-1000G,PE4000G, PE6000G, and PE8000G may catch your eye.

    With the latest Intel platform, GPUs ranging from a single 220W to 600W TDP GPU or 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 series is undoubtedly the top candidate. It offers multiple SoM options, ranging from Orin Nano, Orin NX, AGX Orin and AGX Thor. Designed for efficiency and flexibility, the PE3000N AGX Thor series combines low power consumption, a compact footprint, and scalable performance with a modular design that supports project-specific I/O—making it a powerful choice for large-scale applications.

    Finally, PE3000G amazes with its extraordinary durability. This GPU computer boasts 100% fanless operation, an embedded Intel/NVIDIA MXM GPU, and a patented passive thermal solution. It is noise-free, has a prolonged MTBF features an embedded GPU, and offers anti-shock-and-vibration capabilities that exceed military standards. These remarkable features make it stand out.