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Data Storage for Neural Network Training

A global leader in automotive design and production required a solution to store sensor data that is used to train safety-critical neural network algorithms. The company required low total cost of ownership (TCO), so they could manage the solution without adding support resources. With limited space in their data center, they also needed a solution with a small footprint and no additional HVAC requirements.

Although they already had a Hadoop cluster in place, the company chose to invest in a Quantum storage solution via AutonomoStuff, underscoring the value they saw in Quantum.


  • Quick access to recently collected data from vehicles
  • Large datasets stored for long time periods at a low cost per TB
  • Limited space available in data center
  • Minimal heat generation to allow management with existing data center HVAC
  • Support for a variety of communication protocols, including Ethernet, iSCSI, and fiber channel
  • High-performance support for engineering testing and analytics computing
  • Constrained resources requiring a low TCO solution—both operational and environmental


  • Quantum XcellisTM Workflow Director, powered by StorNext
  • 900 TB: StorNext QXSTM-5600 performance storage
  • 2.4 PB: StorNext AELI6 archive storage, 200 slots
  • Total Storage: 3.3PB

Customer benefits:

  • Simplified workflow with shared storage, eliminating storage silos
  • Faster performance support for high-performance computing (HPC) analytics and accelerated development
  • 29u rack space for the entire storage solution
  • No additional heat generated in the data center, thanks to tape storage
  • Support for multiple communication protocols for varied users and devices
  • Scalable performance and capacity to address future needs and control budget
  • Options to non-disruptively expand to the cloud and other storage technologies in the future
  • No additional onsite resourcing required for deployment and management
  • Total cost: 1/10 the cost of the alternative solution