Powering innovation with intelligent data management.
More than ever, the growing volume of data produced by new cars, and during the development of new innovations such as ADAS and autonomous vehicles, is driving automotive companies to improve the management of their data. Quantum’s storage and data management solutions for the automotive industry enable companies to better manage their data assets, improving development team productivity while reducing overall storage and data management costs.
Advances in the development of autonomous vehicles are happening at a blistering pace. Vehicle manufacturers are racing towards the fully autonomous vehicle of tomorrow, and deploying the enabling technologies, as they’re proven out, in vehicles today. Quantum’s storage and data management solutions enable manufacturers to better manage their data assets, improving development team productivity while reducing overall storage and data management costs.
Ingest and access large pools of machine and sensor data fast with the StorNext high-performance parallel file system, and run demanding analytics or other applications on high-performance front-end storage while keeping overall costs down.
Provide users with a single point of access for all their files regardless of where the data resides-flash, disk, object, tape or cloud. For improved productivity, share simultaneous access to files across multiple network protocols, including LAN and SAN, and operating systems (Windows, Mac, Linux and UNIX).
Integrate low-cost storage—such as tape, object storage disk or cloud—with high-performance storage like SSD and disk. Reduce backup software costs by leveraging StorNext policy-based data protection.
As storage demand grows—with more sensors, more software, new projects, new models and new cameras—capacity storage offers virtually unlimited scalability. StorNext can accommodate billions of files across a wide range of storage tiers, enabling seamless, cost-optimized capacity scaling.
The StorNext approach provides the IT team with a wide range of options to meet its future needs. Those include allowing the team to scale performance and capacity separately—and allowing the archive to grow huge while keeping the active performance storage as small as possible to control costs.