News
November 18, 2025
ASUS IoT Announces PE3000N
Compact edge-AI platform for physical AI accelerated by NVIDIA Jetson Thor
**ASUS IoT Announces PE3000N: A Powerful, Compact Edge-AI Platform**
ASUS IoT has unveiled its latest innovation, the PE3000N, a cutting-edge edge-AI platform designed to bring powerful artificial intelligence capabilities closer to the source of data. This compact and robust device is specifically engineered for "physical AI," meaning AI applications interacting directly with the physical world, and is powered by the NVIDIA Jetson Thor system-on-module.
The PE3000N represents a significant leap forward in edge computing, offering a blend of performance and efficiency in a small form factor. Traditionally, AI processing has been heavily reliant on cloud-based infrastructure, which can introduce latency and bandwidth limitations, particularly in applications requiring real-time decision-making. The PE3000N tackles this challenge by providing a powerful processing unit that can be deployed directly at the edge, whether that's in a factory, a retail store, or even on a moving vehicle.
The heart of the PE3000N is the NVIDIA Jetson Thor, a high-performance module known for its exceptional AI processing capabilities. This allows the platform to handle complex tasks such as image recognition, object detection, and natural language processing with speed and accuracy. The integration of Jetson Thor positions the PE3000N as a leader in the rapidly evolving field of edge-AI, enabling developers and businesses to create innovative solutions across various industries.
The compact design of the PE3000N makes it incredibly versatile. It can be easily integrated into existing infrastructure or deployed in space-constrained environments. This flexibility is crucial for applications like smart manufacturing, where real-time monitoring and control are essential, or in autonomous vehicles, where immediate processing of sensor data is critical for safe navigation.
By bringing AI processing closer to the data source, the PE3000N reduces latency, improves bandwidth utilization, and enhances data privacy. This translates to faster response times, lower operational costs, and greater security for businesses deploying edge-AI solutions. The ASUS IoT PE3000N is poised to empower a new generation of intelligent applications, transforming the way we interact with the physical world through the power of edge-based artificial intelligence.
ASUS IoT has unveiled its latest innovation, the PE3000N, a cutting-edge edge-AI platform designed to bring powerful artificial intelligence capabilities closer to the source of data. This compact and robust device is specifically engineered for "physical AI," meaning AI applications interacting directly with the physical world, and is powered by the NVIDIA Jetson Thor system-on-module.
The PE3000N represents a significant leap forward in edge computing, offering a blend of performance and efficiency in a small form factor. Traditionally, AI processing has been heavily reliant on cloud-based infrastructure, which can introduce latency and bandwidth limitations, particularly in applications requiring real-time decision-making. The PE3000N tackles this challenge by providing a powerful processing unit that can be deployed directly at the edge, whether that's in a factory, a retail store, or even on a moving vehicle.
The heart of the PE3000N is the NVIDIA Jetson Thor, a high-performance module known for its exceptional AI processing capabilities. This allows the platform to handle complex tasks such as image recognition, object detection, and natural language processing with speed and accuracy. The integration of Jetson Thor positions the PE3000N as a leader in the rapidly evolving field of edge-AI, enabling developers and businesses to create innovative solutions across various industries.
The compact design of the PE3000N makes it incredibly versatile. It can be easily integrated into existing infrastructure or deployed in space-constrained environments. This flexibility is crucial for applications like smart manufacturing, where real-time monitoring and control are essential, or in autonomous vehicles, where immediate processing of sensor data is critical for safe navigation.
By bringing AI processing closer to the data source, the PE3000N reduces latency, improves bandwidth utilization, and enhances data privacy. This translates to faster response times, lower operational costs, and greater security for businesses deploying edge-AI solutions. The ASUS IoT PE3000N is poised to empower a new generation of intelligent applications, transforming the way we interact with the physical world through the power of edge-based artificial intelligence.
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