Graphics card/GPU Which graphics card is the most important and the toughest question. For pretty much all machine learning applications, you want an NVIDIA card because only NVIDIA makes the essential CUDA framework and the CuDNN library that all of the machine learning frameworks, including TensorFlow, rely on. And of course, with a library that uses GPU to execute the code like cuML, the better graphic card you have, the faster the training will be on average. Check out the doc of cuML for details on other machine learning models. The source code for this article could be found here. GPU (Graphics Processing Unit): A programmable logic chip (processor) specialized for display functions. The GPU renders images, animations and video for the computer’s screen. GPUs are located on plug-in cards, in a chipset on the motherboard or in the same chip as the CPU.
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