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Quobyte to showcase software defined storage for Machine Learning at GTC

Today Quobyte announced announced plans to showcase distributed storage technology at NVIDIA’s GPU Technology Conference in Silicon Valley next week. Quobyte software defined storage turns commodity servers into a reliable and highly automated data center file system.

As machine learning increasingly becomes an indispensable tool for organizations looking to make critical decisions derived from their cumulative data, there is an increasing need for unified storage infrastructure that enables faster results and the ability to fully leverage GPUs,” said Bjoern Kolbeck, Quobyte co-founder and CEO. “We are excited to have the opportunity to present to attendees of NVIDIA’s GTC how they can quickly and easily speed up their ML workloads by overcoming data challenges associated with scale, throughput and access to all data throughout the organization.”

Quobyte’s Data Center File System provides high performance, massively scalable shared storage for the always on, cloud-scale requirements of artificial intelligence, machine learning, autonomous vehicles/robotics, and enterprise applications. It decouples and abstracts commodity hardware to deliver low-latency and parallel throughput for the substantial requirements of today’s data-driven workloads, the elasticity and agility to scale to thousands of servers, and the ability to grow to hundreds of petabytes with little to no added administrative burden.

GTC attracts developers, researchers, and technologists from many of the top companies, universities, research firms, and government agencies around the world. Attendees can interact with experts on the present and future of AI and deep learning, IoT, self-driving cars, and more. There are more than 500 sessions and programs created to facilitate discussions, educate attendees, and forge relationships with technology leaders across a range of fields.

Catch up with Quobyte at GTC booth #231.

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