Today, April 16th, 2016, Quobyte announced the release of a TensorFlow Filesystem Plug-in that allows TensorFlow applications to integrate directly with Quobyte without passing through the operating system kernel. Quobyte was founded in 2013 and provides software-defined storage for a variety of customers including Yahoo! Japan. TensorFlow is a widely used open-source software library commonly used in machine learning applications.
Quobyte’s new TensorFlow Filesystem Plug-In runs on Linux systems. Quobyte hopes that the Plug-In will allow older legacy Linux servers to use their technology in machine learning applications. They are claiming that their storage system can be used in all stages of machine learning and provides throughputs of up to 10GB/s to each client. The plug-in integrates with Quobyte to help fully leverage all provisioned system resources by optimizing GPU usage to reduce latency and CPU loading, and Quobyte is claiming it provides up to a 30% boost in throughput for TensorFlow users.
Additional benefits of Quobyte’s TensorFlow File System Plug-in include:
Availability
Immediately
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