Active data management enables large-scale research
StorNext solutions combine high performance storage with low cost archive storage to enable easy data integration and management for the transition between high performance analysis and long-term retention. With this type of active data management large-scale projects are substantially more economically viable, lowering data storage costs by an order of magnitude.
Storage designed to scale with autonomous vehicle research requirements
Quantum has worked closely with AutonomouStuff and its customers to define and create a complete end-to-end research solution that includes durable in-vehicle storage for test vehicles. The resulting solution is self-protecting, self-managed data center storage where analysis and solution development takes place. It also provides autonomous vehicle developers with an easy way to move data from test vehicles to the data center while achieving the lowest cost storage and delivering high-performance shared access, integrated protection and data life cycle management. Quantum’s multitiered storage approach automatically places less active data on the most cost-effective storage media while active data resides on high-performance storage. This is critical for autonomous vehicle development environments that generate petabytes of data which needs to be retained for many years to meet regulations and to validate algorithms as designs evolve.