Quobyte Showcases How to Get the Most out of ML Workloads at NVIDIA’s GTC

Quobyte Inc., a leading developer of modern storage system software, announced that it is exhibiting its distributed systems technology implemented as software storage that runs on commodity HDDs/SSDs in Booth No. 231 at NVIDIA’s GPU Technology Conference (GTC) at the San Jose McEnery Convention Center March 18-21.

“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.

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“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.”

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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.

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