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How Quantum Corp. Wrangles Big Data for HPC, Ai, and Autonomous Cars

In this video from SC18 in Dallas, Jason Coari from Quantum Corp. describes how the company wrangles Big Data for HPC, Ai, and Autonomous Cars.

Scientists and analysts today need intelligent data management throughout the entire research workflow, from ingest to HPC processing to archive. With multi-tier storage from Quantum, teams can better harness their data and transform the world.”

At the conference, Quantum showcased the very latest StorNext file system innovations, all designed to help you gain workflow efficiency, save money and grow your business in the evolving media landscape:

  • Managing Petascale Data Growth. Data growth is a fact of life, especially with scientific research: more sensors, more software, more files and bigger files. Today’s research teams need multi-tier storage solutions that scale…affordably.
  • Enabling Collaborative Research. Research doesn’t happen in a vacuum. Whether your team has tens, hundreds, or thousands of users who need shared access to data, StorNext enables high-speed file sharing via both SAN and LAN, as well as cloud.
  • Speeding Up Ingest and Analysis. Scientific workflows require speed—both speed for ingest and speed that supports complex analysis and HPC. The right kind of high-performance storage is needed to power today’s research workflows and derive insights from scientific data.
  • Keeping Data for Decades. With research projects often extending decades or more, scientists need access to data for long periods of time. Multi-tier storage lets research institutions archive data with cost-effective tiering on flash, disk, object storage, tape and even cloud.

See our complete coverage of SC18 in Dallas

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