Tuesday, April 16, 2024

ASUS IoT Unveils PE1100N: The Ultimate AIoT Edge Computer

ASUS IoT, a leading global provider of AIoT solutions, is thrilled to announce the launch of PE1100N, an unparalleled, ultra-compact computer designed for AI inferencing at the edge. This groundbreaking device is based on the next-generation and world-leading NVIDIA® Jetson Orin™ series. With its exceptional features and capabilities, the PE1100N revolutionizes AI computing at the edge, offering unparalleled performance and versatility.

Unmatched Performance for AI-Inferencing at the Edge

The PE1100N is powered by the advanced Jetson platform, which combines an efficient Arm® processor with an embedded NVIDIA GPU. This powerful combination enables the PE1100N to deliver energy-efficient computing with remarkable AI-inferencing capabilities. It is perfectly suited for a wide range of applications in smart cities, transportation, manufacturing, and more.

Smart City Applications

In smart city environments, the PE1100N proves invaluable for various AI applications such as traffic analysis, people-tracking, counting, and surveillance. Its exceptional computing power and efficiency enable accurate and real-time data processing, enhancing the overall efficiency and safety of urban areas.

Manufacturing Solutions

The compact size and anti-vibration design of the PE1100N make it an ideal choice for smart manufacturing solutions. It seamlessly integrates into automated guided vehicle (AGV) systems, autonomous mobile robots (AMRs), AI-powered automated optical inspection (AOI) processes, and robotics applications. By utilizing the PE1100N, manufacturers can accelerate their time to market for AI applications and optimize their production processes.

Unparalleled Computing Power

ASUS IoT has developed the PE1100N specifically to cater to the booming smart manufacturing market. Through close collaboration with NVIDIA, a leading AI-solution provider, ASUS IoT has embedded the NVIDIA Jetson Orin, the world’s leading AI platform at the edge. This integration enables the PE1100N to deliver exceptional performance, with up to 100 trillion operations per second (TOPS) for deep learning and computer vision tasks. Compared to previous-generation devices, the PE1100N offers up to 5 times the performance and up to 18 times better frames-per-watt efficiency than traditional x86-based platforms.

Seamless Integration and Industrial-grade Design

ASUS IoT’s PE1100N boasts an industrial-grade design with high expandability and connectivity, making it suitable for a wide range of industrial applications. The ultra-compact computer features a fanless and rugged design, complete with an exclusive metal heatsink and an extruded-aluminum chassis. This design ensures efficient and silent cooling, enabling stable and reliable operation even in demanding environments with a wide temperature range of -20°C to 50°C.

Versatile Connectivity for Industrial Applications

The PE1100N comes equipped with an extensive array of I/O ports, including LAN, DIO, COM, USB 3.2, and Type-A. Certain models also feature a CAN bus. Additionally, a Micro-USB debug port facilitates system maintenance. For seamless wireless and cloud connectivity, an optional WiFi and Bluetooth® module is available. The PE1100N also supports a 4G/5G cellular module through the M.2 B key, with support for dual SIM slots. The inclusion of GPS enables precise device tracking and data recording for smart transportation solutions.

Tailored to AI Performance Requirements

The PE1100N is available in two variants, powered by the NVIDIA Jetson Orin NX or Jetson Orin Nano. This ensures that there is a model to meet every AI-performance requirement. Furthermore, ASUS IoT offers board-level configuration options to fulfill bespoke customer requests, providing a truly customized AIoT edge computing solution.

Block Diagram

ASUS PE1100N Block Diagram
image credit to asus

Key Features of the PE1100N:

• Intelligent Edge AI System with NVIDIA Jetson™ Orin™ NX and Orin™ Nano

• Compact fanless design with diverse I/O options

• Optional modules for Wi-Fi, Bluetooth®, 4G, and 5G connectivity

• Wide range of power input and operating temperature

• Support for ASUS Expansion Module (AEM)


SOMJetson Orin Nano 4GJetson Orin Nano 8GJetson Orin NX 8GJetson Orin NX 16G

Processor System


6 x Arm® Cortex®-A78AE v8.2

8 x Arm® Cortex®-
A78AE v8.2


512-core NVIDIA
Ampere GPU with 16
Tensor Cores

1024-core NVIDIA Ampere GPU with 32 Tensor Cores


4 GB 64-bit LPDDR5

8 GB 128-bit LPDDR5

16 GB 128-bit LPDDR5

Wired Interface


2 x 10/100/1000 Mbps, RJ45

USB (or Header)

3 x USB 3.2 Gen1, Type-A
1 x USB 2.0, Micro-USB for OS Flash
2 x USB 2.0, Pin Header (Internal)


2 x RS-232/422/485, DB9
1 x CAN bus, DB9


4 x DI, 4 x DO (2×5 Terminal Block, w/ isolation)


1 x HDMI 1.4a, 3840 x 2160 @30Hz

1 x HDMI 2.0b, 3840 x 2160 @60Hz

Debug Port

1 x Debug console via Micro-USB

Wireless Interface










M.2 M key

1 x 2242/2260/2280, for M.2 SSD (PCIe, OS disk, size option)

M.2 E key

1 x 2230, for Wi-Fi/BT (PCIe, USB 2.0, I2C and PCM)

M.2 B key

1 x 3042/3052, for 4G/5G (PCIe, USB 2.0/3.0)



2 x nano-SIM slots


Power Input

12 to 24 VDC, 3-pin terminal block (1-pin for remote power button)



Wall-mount (support assembly with DIN rail clips)


Board: 3.5″, 146 x 105 mm
System: 152 x 114 x 72 mm


1.4 KG


Operating Temp.

-20 ~ up to 60°C

Storage Temp.

-40 ~ 85°C

Relative Humidity

10 ~ 95% (non-condensing)



on-board TPM v2.0


Watch Dog Timer


Operating System1

Ubuntu Desktop

Specifications of Jetson Orin Nano4G,Orin Nano 8G,Orin NX 8G and Orin NX 16G

In conclusion, the ASUS IoT PE1100N sets new standards in AIoT edge computing. With its unmatched performance, exceptional features, and industrial-grade design, the PE1100N empowers businesses to harness the power of AI at the edge, facilitating innovation and unlocking new possibilities across various industries. Stay ahead of the curve with the ASUS PE1100N and experience the future of AI computing today.

Agarapu Ramesh was founder of the Govindhtech and Computer Hardware enthusiast. He interested in writing Technews articles. Working as an Editor of Govindhtech for one Year and previously working as a Computer Assembling Technician in G Traders from 2018 in India. His Education Qualification MSc.


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