Description
Not recommended for new Projects, NRND – The BOXER-8110AI (SIB-A8110) is an Embedded Server fitted with the NVIDIA Jetson TX2, it supports 256 CUDA cores and a range of AI frameworks including Tensorflow, Caffe2, and Mxnet, and in addition, users can install the device with their own AI inference software. These features make the SIB-A8110 perfect for edge AI applications.
The BOXER-8110AI’s CANbus and rugged design features (anti-dust measures, aluminum chassis, wide operating temperature range) mean it can support industrial automation and in-vehicle applications. With its powerful processor and cost-effective design, this is one AI platform you’ll be able to install anywhere.
- NVIDIA Jetson TX2
- Support Linux Ubuntu 16.04
- 8GB LPDDR4, 32GB eMMC 5.1
- HMP Dual Denver 2 + Quad ARM A57
- HDMI 2.0 x 1, USB3.0 x 2
- RS-232 x 1, CANBUS x 1 Channel
- OTG x 1
- LAN x 1
- MicroSD x 1
EMAC’s Server-In-a-Box line of Embedded Servers and Industrial PCs are Single Board Computers built into small, rugged embedded servers. These Industrial PCs are just as comfortable in the industrial environment as they are on a desktop while providing only the required portions of the functionality from a conventional server. While functioning as an IOT Gateway or IOT edge system these servers allow connection to additional hardware making your legacy hardware web accessible, or even sending data directly to the cloud.
In order to toughen these embedded servers EMAC utilizes a Flash Disk in place of a hard drive and a fanless embedded SBC providing a server with minimal or no moving parts. On the software side, EMAC supports the most popular Embedded Operating Systems (OS), Embedded Linux and Real Time Linux, Windows Embedded Standard, or Windows 10 IoT. EMAC has the expertise to customize the Embedded OS build to meet your application needs if required. This custom Embedded OS build can be archived under a unique part number guaranteeing that you receive the correct build each time you order.
Need a Custom Carrier board Based on an Nvidia Jetson Module, Learn More Here
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