Description
- NVIDIA® Jetson Orin NX
- Supports NVIDIA® JetPack 6.2.1 Super mode
- GbE PoE/PSE 802.3af/at x 4 + GbE LAN x 1
- M.2 2230 E-Key x 1, M.2 2280 M-Key x 1, M.2 3042/3052 B-Key x 1, NANO SIM x1
- COM/CANBus/DIO
- On board TPM as default
- Operating Temperature: -25°C ~ 65°C
Introducing the BOXER-8653AI-PLUS, AAEON’s newest embedded AI system powered by the NVIDIA® Jetson Orin™ NX with Super Mode support. Combining four independent PoE LAN ports alongside both TPM 2.0 and remote management functionality, the BOXER-8653AI-PLUS boasts both exceptional connectivity and precise remote device control, making it a gamechanger for both industrial AI and Smart City sectors. Moreover, the system is designed for environmental stability, boasting a wide temperature tolerance and power input range with a footprint of just 190mm x 136mm x 75mm.
Four PoE LAN with Per-Port Power Management
The BOXER-8653AI-PLUS provides an ideal single-box architecture with which to deploy multi-camera AI inferencing applications such as roadside units and industrial inspection systems. With four independent PoE LAN ports, users not only benefit from simplified peripheral device installation, but from the efficiency of per-port power control, which allows each connected device to be independently and remotely configured.
Precise Control for Remote Deployment
Armed with onboard TPM 2.0 and remote management functionality, the BOXER-8653AI-PLUS offers greater protection to application-critical data on the edge, while also facilitating remote device monitoring, diagnosis, and recovery. Moreover, the device is available with AAEON’s groundbreaking AI model protection framework, MAZU, with no additional customization costs. As a result, the BOXER-8653AI-PLUS is a prime candidate for deploying smart city solutions at scale, such as AI-driven ANPR and public safety monitoring systems.
NVIDIA Jetson Orin NX with Super Mode Support
Powered by the NVIDIA Jetson Orin NX module, the device is part of AAEON’s PLUS AI System series, meaning it also comes with Super Mode support, increasing AI performance to up to 157 TOPS. This substantial boost is especially useful for latency-sensitive applications across the industrial automation and smart city spheres, where allowing more complex models to run on video streams from multiple cameras simultaneously expedites and refines decision-making at the edge, while also retaining power-efficiency.
