- August 19, 2019
- AAEON Electronics, Inc.
August 19, 2019 – AAEON announced the BOXER-8170AI, an embedded AI@Edge computing solution featuring the NVIDIA Jetson TX2. Equipped with four PoE LAN ports and four USB 3.0 ports, the BOXER-8170AI works to provide stability and flexibility for AI edge networks.
The BOXER-8170AI features the NVIDIA Jetson TX2 6-core processor, designed by pairing the Dual Denver 2 and Quad ARM 57 processors into a single SOC. This design with up to 256 CUDA cores works to power AI@Edge solutions. The BOXER-8170AI comes with 8GB LPDDR4 memory and 32GB eMMC storage onboard, and supports AI frameworks such as TensorFlow and Caffe, as well as supporting AI inference software from developers and customers.
The BOXER-8170AI is built to provide flexibility and stability for AI Edge networks. It is designed with four PoE LAN ports, each with their own dedicated chip. This allows for PoE cameras to operate individually on dedicated connections. The BOXER-8170AI supports a maximum output of 60 watts for up to four PoE cameras, suitable for a range of AI solutions incorporating PoE cameras such as smart retail, virtual fences, and access control.
The BOXER-8170AI is designed with I/O features including four USB 3.0 ports, allowing for additional cameras or devices to be connected to the system. The BOXER-8170AI also features two COM ports for integration into industrial systems, two HDMI ports, and remote ON/OFF. The BOXER-8170AI is built to connect to networks with a Gigabit LAN port and two antenna ports to connect to wireless networks or act as an AIOT gateway. The BOXER-8170AI also features an SD Card slot and USB OTG for easy maintenance.
Built for the environments of industry, the BOXER-8170AI features a fanless design and all aluminum chassis protecting the system from dust, vibration and other hazards. The BOXER-8170AI is capable of operating in temperatures from -20°C to 50°C and features a input voltage range of 12 to 24 VDC. With a height 48 mm thick, it can fit into almost any space needed to power AI Edge applications.