Build the Best Power Efficiency Edge Device with Aetina Xavier Platform

November 26, 2019 Aetina Corporation

Aetina Corporation, a GPGPU and edge AI computing platform provider, introduced Nvidia Jetson AGX Xavier edge computing platform into the experiment to compare with RTX 2080 graphics card.

The hardware of pose estimation used Aetina Jetson AGX Xavier AI computing platform, which has 512 CUDA computing cores and 11 TFLOPS of AI computing inference. With the Xavier platform, it only cost 30W for operation, bringing 0.367 TFLOPS/W, got four times better AI performance efficiency compared to RTX 2080's 0.09 TFLOPS/W. The Xavier platform supports various I/O extension, external high-speed Net card, and flexible match with different camera modules. As an SoM platform, the Aetina Xavier platform is easy to deploy at any edge position in the embedded IoT environment, lower the AI latency.

With the software, Aetina R&D team optimized the Openpose algorithm, detect humans by the bone point, which can capture several people in real-time. With the data from the skeleton it can define the pose with action.

Aetina Jetson AGX Xavier edge AI computing platform can realize AI application of collapse detection in the intelligent medical area, also customer behavior analysis in the smart retail area.

For more information, please visit: https://www.aetina.com/

Previous Article
Wibu-Systems and EOS Secure the 3D Printer Communications Chain
Wibu-Systems and EOS Secure the 3D Printer Communications Chain

Seizing the potential of new business models in additive manufacturing through secure workflows (Digital Ri...

Next Article
The SPS 2019 Best in Show Awards
The SPS 2019 Best in Show Awards

Embedded Computing Design is pleased to announce the winners of this year’s Best in Show competition.

How to Develop Cross-Industry IoT Interoperability

Multi-Part Series