In our last blog post we compared the new NVIDIA Xavier NX to the Jetson TX2 and the Jetson Nano. Since then, we implemented some changes and updates to our benchmark tool. First, we switched from the TensorRT Python API to the C++ API and second, we are now able to convert our model to INT8 precision to speed up inference. This is done by implementing the IInt8EntropyCalibrator2-class. More information on the INT8 calibration process …

In one of our recent blog posts we compared NVIDIA’s Jetson Nano to the Coral USB Accelerator from Google. Recently NVIDIA released a new member of their Jetson family – the NVIDIA Jetson Xavier NX. This promising product extents the high-end range of AI computers for edge applications. Also at the same price point as Jetson TX2, Xavier NX seems to make ists older brethren practically obsolete. In this post we will have a closer …

Since the topics “Machine Learning” and “Artificial Intelligence” in general are growing bigger and bigger, dedicated AI hardware starts popping up from a number of companies. To get an overview over the current state of AI platforms, we took a closer look at two of them: NVIDIA’s Jetson Nano and Google’s new Coral USB Accelerator. In this article we will discuss the typical workflow for these platforms and their pros and cons. The Rivals NVIDIA’s …