BOXER-8653AI-PLUS:
AAEON, a leading provider of edge AI platforms, announced the release of the BOXER-8653AI-PLUS, an embedded AI system powered by the NVIDIA Jetson Orin NX, with Super Mode support.
Designed to offer multi-camera AI inferencing within a single-box architecture, the BOXER-8653AI-PLUS’s standout feature is the presence of four independent PoE LAN ports. With per-port power control, AAEON appears to be targeting applications that rely on multiple peripheral cameras, with the additional flexibility of independent, remote configuration.
Joining the system’s PoE LAN ports are four USB 3.2 Gen 2 ports and an additional RJ-45 port for Gigabit Ethernet. For interfacing with physical systems, such as modern IoT devices and legacy industrial infrastructure, the BOXER-8653AI-PLUS includes a DB-9 port for RS-232 and CANBus and a DB-15 port for RS-232/422/485 and 8-bit DIO.
Given it is designed to run application-critical data on the edge, the BOXER-8653AI-PLUS offers both onboard TPM 2.0 and remote management functionality, the latter being via an out-of-band management box header. Moreover, AAEON has stated that its AI model protection framework, MAZU, will be available for the device without additional customization costs.
For expansion, the BOXER-8653AI-PLUS hosts M.2 3042/3052 B-Key and M.2 2230 E-Key slots to support the installation of LTE/5G and Wi-Fi/BT modules, respectively. Meanwhile, the system comes with a 128GB NVMe SSD preinstalled.
Lending credence to its market positioning for remote deployment, the BOXER-8653AI-PLUS has a wide 12V to 24V power input range as well as a -25°C to 65°C temperature tolerance, making it well-suited for harsh environments. Further features conducive to such settings include enhanced anti-vibration and shock resistance, as well as wall mounting for easy installation.
For detailed specifications and further information about the BOXER-8653AI-PLUS, please visit its dedicated product page. Meanwhile, pricing and ordering information can be obtained via the contact form on the AAEON website.
