All you need to get started is:
As the first distributed file system, Quobyte offers a TensorFlow plugin, that increases throughput performance by up to 30%. The plugin allows TensorFlow applications to talk directly to Quobyte without going through the kernel.
Better performance Quobyte reduces kernel mode transitions and lowers CPU usage. This increases utilization of the GPU to speed up model training and the inference stage of the ML workflow. Hence, Quobyte’s performance and scalability help you train faster across larger data sets for higher accuracy results.
Quobyte’s TensorFlow filesystem plugin can be used with most any Linux system; even older versions can be used because it bypasses the kernel. It can also be used with Google Cloud Platform (GCP) for model training: train models locally on sample data sets and use GCP for training at scale.
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