StoneTaskin Original For ASUS AI server accelerator card arm embedded deep learning CRL-G116U-P3DF Fully Tested Free Shipping

ASUS AI accelerator cards support TensorFlow Lite, eliminating the need to build models from scratch. TensorFlow Lite models can be compiled to run on Edge TPUs, increasing processing efficiency, reducing power requirements, and making it easier to build connected devices and smart applications. Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS) using 2 watts of power. With 8 or 16 Edge TPUs in this PCIe card, you can multiply the inference speed per second (32 or 64 TOPS) in several ways, such as by running multiple models in parallel or by pipelining one across all Edge TPUs Model.

With AutoML Vision Edge, users can also easily build fast, high-accuracy custom image classification models and deploy them to end devices equipped with ASUS AI accelerator cards.

AutoML Vision is a service developed by Google that provides automatic development of custom image recognition systems. That is to say, even a novice without professional knowledge of machine learning can easily build a customized image recognition model with this service as long as he understands the basic concepts of the model.

In April 2020, Taiwan's FIH Mobile decided to introduce the AutoML Vision system on-line and start building the AutoML Vision automation system. An image grabber consisting of two microscopes and an X-Y stage uses machine learning models to quickly perform quality inspections on mobile printed circuit board assemblies. Through AutoML Vision, FIH successfully reduced the defect escape rate from 40% to 10%, and even the inspection time of a single component was significantly reduced to only 0.3 seconds.

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