ASUS IoT PE3000N is a compact edge-AI supercomputer designed specifically for the demands of next-generation robotics. Accelerated by NVIDIA® Jetson Thor™ module: NVIDIA Jetson T5000™, it delivers an impressive 2,070 FP4 TFLOPS through a Blackwell GPU, a 14-core Arm CPU, and 128GB of LPDDR5X memory. This powerful combination enables PE3000N to efficiently run advanced generative VLM/LLM models, real-time intelligent video analytics, and fully autonomous control applications. Despite its small form factor, PE3000N offers robust performance, making it ideal for integration into space-constrained robotic systems without sacrificing computing power.
Built for versatility and adaptability, PE3000N features a scalable chassis with modular I/O layers supporting PoE, GMSL, CAN, QSFP28, and more, allowing seamless customization to meet evolving sensor and network demands. Its wide 12–60V input with ignition support ensures reliable, battery-friendly operation across diverse environments. Additional features include PTP/PPS for precise sensor synchronization, on-board TPM 2.0 for enhanced data security, and MIL-STD-810H military-grade rugged connectors that support up to five POE and 16 GMSL cameras for high-bandwidth sensor fusion. From factory floors and off-road vehicles to smart-city infrastructure, PE3000N delivers cloud-class intelligence at the extreme edge.
Built for versatility and adaptability, PE3000N features a scalable chassis with modular I/O layers supporting PoE, GMSL, CAN, QSFP28, and more, allowing seamless customization to meet evolving sensor and network demands. Its wide 12–60V input with ignition support ensures reliable, battery-friendly operation across diverse environments. Additional features include PTP/PPS for precise sensor synchronization, on-board TPM 2.0 for enhanced data security, and MIL-STD-810H military-grade rugged connectors that support up to five POE and 16 GMSL cameras for high-bandwidth sensor fusion. From factory floors and off-road vehicles to smart-city infrastructure, PE3000N delivers cloud-class intelligence at the extreme edge.
Accelerated by NVIDIA® Jetson Thor™
Rugged. Modular.
Accelerating Physical AI.
ASUS IoT PE3000N Edge AI Computer
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2,070 FP4 TFLOPS Rugged Reliability
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Flexible Expansion Compact Design
The Ultimate Platform for Humanoid Robotics
ASUS IoT PE3000N is a compact edge-AI platform accelerated by NVIDIA® Jetson Thor™, delivering up to 2,070 FP4 TFLOPS – 7.5X the performance and 3.5X the efficiency of previous platforms. Its Blackwell GPU, 14-core Arm CPU and 128GB LPDDR5X run cutting-edge generative VLM/LLM, real-time video analytics and autonomous-robotics workloads, making it ideal for deployment across factory, logistics, and smart city installations – bringing cloud-level intelligence to the extreme edge.
Unmatched AI Performance
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Up to2,070FP4 TFLOPS*
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7.5Xhigher AI compute
than NVIDIA Jetson AGX Orin™ -
3.5Xbetter power efficiency
than NVIDIA Jetson AGX Orin™
*Compared with NVIDIA Jetson AGX Orin™
Modular Layer for Flexible Deployment
ASUS IoT PE3000N’s compact core system and modular chassis lets you stack plug-and-play I/O layers – PoE, GMSL, QSFP28, isolated CAN FD,and isolated DIO – tailoring or upgrading the system without touching the core.
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Humanoid Robots
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Autonomous Mobile Robot (AMR)
*PE3001N
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Intelligent Video Analytics
*PE3001N
* PE3001N supports flexible vertical expansion via an optional I/O stack, enabling GMSL2, PoE, QSFP, DIO, CAN FD, and COM connectivity.
Rich I/O for Expandability
Besides the core system, PE3001N offers multiple stack options for project-specific I/O for vertical expansion via GMSL2, POE, DIO, QSFP, CAN FD, and COM.
Core System
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1Line-in
2Line-out
3USB 3.2 Gen2, Type-C
(OTG, OS Flash)
4USB 3.2 Gen2 Type-C
54 x USB 3.2 Gen2 Type-A
6HDMI
71GbE
810GbE
9Debug Console
10Power button
10G M12+ GMSL Stack
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1Line-in
2Line-out
3USB 3.2 Gen2, Type-C
(OTG, OS Flash)
4USB 3.2 Gen2 Type-C
54 x USB 3.2 Gen2 Type-A
6HDMI
71GbE
810GbE
9Debug Console
10Power button
114 x mini Farka for total 16 x GMSL 2 cameras (optional)
LAN Port Stack
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1DC IN terminal block
21 x QSFP (optional)
35 x POE, 1 x 10 GbE and 4 x 1GbE (optional)
4DIO (optional)
52 x CAN FD and 2 x COM (optional)
Engineered for the Extreme
PE3000N is designed for real-time reasoning in general robotics and physical AI. Its 12 to 60V wide-range DC input with ignition control ensures reliable power delivery, making PE3000N the ideal solution for mission-critical deployments. PTP/PPS support enables precise sensor synchronization, while it delivers unwavering performance in extreme temperatures ranging from -20°C to +60°C. The system also boasts MIL-STD-810H certification for exceptional ruggedness, and on-board TPM 2.0 provides enhanced data security.
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12-60V Range DC-in
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Sensor Fusion by PTP/PPS Technology
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Ignition power control
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‑20°C to +60°C temperatures
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IEC 62443-4-1
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MIL-STD-810H compliant
PE3000N FAQ
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Q1. What is ASUS PE3000N, and what is it best used for?
The ASUS PE3000N series is a next-generation rugged edge-AI supercomputer powered by NVIDIA® Jetson Thor™. It is purpose-built to bring generative reasoning, advanced robotics, and physical AI directly to the edge in the most demanding environments. It is best used for:
A. Next-Generation Robotics & Physical AI: Leveraging the Blackwell-architecture Jetson Thor, it serves as the ultimate edge brain for humanoid robots and autonomous systems, executing complex generative AI and VLM models locally.
B. In-Vehicle & AMR: With GMSL camera support for multi-sensor fusion and built-in ignition power control, it is optimized for automotive, smart transit, and fleet management applications.
C. Harsh Industrial & Outdoor Environments: Engineered for extreme resilience, it features MIL-STD-810H compliance, an outstanding 5 Grms vibration resistance, and a wide operating temperature range (-20°C to 60°C) with a 12-60V wide-range DC input to ensure 24/7 mission-critical reliability. -
Q2. What are the primary differences between the ASUS PE3000N series and the NVIDIA AGX Thor Developer Kit?
The PE3000N series delivers a ruggedized edge computing system engineered specifically for harsh industrial field environments, making it the ideal choice for commercial mass production, in-vehicle integration, and real-world industrial deployments. -
Q3. How is the PE3000N series the ultimate platform for Physical AI and humanoid robotics?
ASUS PE3000N is a compact, rugged edge-AI supercomputer powered by the NVIDIA Jetson Thor (T5000/T4000). It transitions generative AI from pure digital reasoning into real-time physical action by delivering:- Generative Edge Reasoning: With a Blackwell-architecture GPU delivering 2,070 FP4 TFLOPS and 128GB LPDDR5X, it runs complex LLM and VLM models locally—no cloud latency required.
- Multi-sensor Fusion: Built-in hardware accelerators support high-speed processing for up to 16 GMSL2 cameras and 4 x 25GbE links, effortlessly synchronizing LiDAR, radar, and vision data.
- Built for Motion: MIL-STD-810H military-grade ruggedness and a wide 12-60V battery-friendly power input ensure stable physical AI execution in the harshest mobile and industrial environments.
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Q4. How does PE3000N series boost generative AI at the edge?
Powered by NVIDIA Jetson Thor is a next-generation robotic computer designed to power physical AI and humanoid robots. It accelerates generative AI at the edge by delivering:- Diverse Model Support: Locally runs advanced VLA models – like NVIDIA Isaac GR00T – as well as popular LLMs and VLMs.
- Cloud-to-Edge Software: Built-in integration with the NVIDIA AI stack, including Isaac (robotics), Metropolis (visual AI), and Holoscan (sensor processing).
- Edge Agentic AI: Enables developers to build local AI agents capable of complex workflows like video search and summarization (VSS).
