Next-generation Edge AI Supercomputer with NVIDIA® Jetson Thor™ for Generative AI Pipelines, Rugged Design, and Industrial-grade Reliability
Include: M.2 2280 M-key SSD, 1TB, TLC, PCIeG4(VAL-T) (0 to 70), Ubuntu Desktop (pre-installed), ADP 330W 24V + power cable (0 to 40°C) and AC POWER.CORD UL/CSA/3P/3C,BLK
- Next-Gen Edge AI Supercomputer with NVIDIA Jetson T5000™/ T4000™
- Rugged, Low-profile and scalable chassis design
- Optional second stack enables project-specific I/O for vertical (GMSL2, POE, QSFP, DIO, CANFD and COM) expansion. – it’s PE3001N
- DC 12 to 60V wide range of DC or Battery power input with Ignition
- Supports multiple generative AI pipelines and sensor fusion for next-gen robotics and automation
- Full support for NVIDIA AI stacks (NVIDIA Isaac™, Metropolis, Holoscan) for fast cloud-to-edge deployment
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.
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.
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.
* 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.
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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ASUS IoT PE3000N Datasheet
