All-New Edge AI Systems
Up to 14th Gen Intel® Core™ power and dual 450W GPU acceleration
Revolutionize Computing Power with Edge AI Systems
The Game-Changing Platform for AI Applications
Experience the power of edge computing redefined with ASUS IoT's latest series — the 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 900W TDP, and dual DDR5 5600 SO-DIMM memory up to 64 GB, these systems are designed to handle the most intensive AI workloads.
ASUS IoT edge AI systems combine GPU computing with AIoT potential. They offer embedded MXM GPU modules from both NVIDIA® and Intel®, NVIDIA® Jetson-based platforms, and GPU computing 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 excels 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.
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Powerful & Scalable GPU Computing
ASUS IoT pioneers the industry's first edge AI system that supports up to dual 450-watt TDP GPUs. ASUS IoT systems benefit from support for Intel Arc™ A-series MXM, NVIDIA PCIe® GPU cards, and Jetson SoM, offering a choice of power-efficient options through to extreme high-throughput solutions. -
Latest Computing Platform
ASUS IoT edge AI systems are available in a variety of form factors embedded with the latest Intel 14th/13th/12th Gen CPUs and NVIDIA Jetson Orin™ series, meeting the dynamic requirements of the market. -
Exclusive Thermal Design
The patented system design effectively diffuses heat from the CPU, GPU, and all peripherals, delivering extreme ruggedness with a fanless structure. This ensures stable operation while the fanless design further reduces dust generation and thus enhances durability. -
Robust Power Design
Innovative high-current tolerance power design ensures extreme reliability under a wide range of DC inputs and power-hungry GPU computing. Support for ignition power control adds further stability. -
Anti-vibration Design
With a robust mechanical design featuring structured support, GPU retainer, cable screw lock, and damping bracket, ASUS IoT edge AI systems excel at in-vehicle situations for smooth and uninterrupted operation. -
Industrial Feature Set & Rich I/O
Supports PoE, isolated DIO, multiple COM ports, CAN bus, and more, enabling seamless connectivity for a wide range of applications. -
Certification Compliance
Rest assured with our system-validated certification readiness. Our edge AI systems comply with MIL-STD 810H and offer vibration resistance up to 5 GRMS. -
Software Support for Easy Integration
Simplify the integration process with comprehensive software support, including APIs, middleware, and device control toolkits tailored for various vertical 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.
Target Applications
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Traffic Management
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AMR
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Smart City
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Machine Vision
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Autonomous Driving
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AI Inference & Training
Product for your solution
PE8000G
Rugged edge AI GPU computer supporting up to dual 450W GPU card and 14th/13th/12th Gen Intel® Core™ processor
PE6000G
Rugged edge AI GPU computer supporting up to 450W GPU card and 14th/13th/12th Gen Intel® Core™ processor
PE4000G
14th/13th/12th Gen Intel® Core™ rugged edge GPU computer supports up to 200 W GPU and versatile expansion capabilities
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
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
Rugged fanless edge AI computer supporting NVIDIA® or Intel® MXM GPU and 12th Gen Intel® Core™ processor
PE400D
Intel 10th Gen. Core-I and Xeon processors Intelligent Edge server with versatile connectivity, 3 expandable PCIe slots, supporting AI inferencing
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
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
Arm System, NVIDIA Jetson, LPDDR5, USB3, Dual LAN, HDMI, M.2 E, M.2 M, M.2 B, AEM, Dual SIM, 12-24V
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
Arm System, NVIDIA Jetson, LPDDR4, eMMC, USB3, Dual LAN, HDMI, M.2 E, M.2 M, mini PCIe, AEM, Dual SIM, 12-24V
FAQ
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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:
Note: May adjust based on module vendor’s roadmap
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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.