Capture huge amounts of sensor data inside a moving vehicle under demanding conditions, then quickly and easily ingest data for processing.
Quickly Capture Sensor Data in any Edge Environment
Data captured in an autonomous vehicle can generate up to 20 TB per hour, per vehicle, and petabytes a week, quickly reaching multi-petabyte scale. Vast amounts of unstructured data—high-res images, LiDAR sensor data, and machine data–-are being generated in an environment that requires small form factor, large storage capacity, durability, and performance based on NVMe flash. The Quantum R-Series is purpose built to meet all these requirements.
Edge Storage with Reliable, Durable Data Capture
Quantum’s R-Series was specifically designed for edge data capture use cases, such as ADAS and autonomous vehicle research, surveillance monitoring, M&E production, and Internet of Things (IoT) technologies. The R-Series addresses the demanding requirements of data capture in any challenging environment - from military vehicles on rough terrain in the desert to research vehicles navigating potholes and road obstacles at high speeds.
The R-Series supports SSD and NVMe form factors with adjustable capacity based on requirements. The drives are situated in a removable canister, making it easy to swap full canisters and put in empty canisters - ready to capture more data. The removed canister can then be inserted into a chassis in the data center for further analysis.
Reliable, High-Speed Data Capture
Magazine and chassis are designed to withstand the rigors of in-vehicle conditions with a ruggedized hardware design and built-in data protection software.
Highly Available and Reliable Architecture
Both software and hardware are purpose-built for high availability and reliability in rugged mobile environments.
Quickly Upload Data with Removable Drive Canister
The removable magazine makes it easy for a technician to upload 10s of TBs of raw data to a Quantum shared storage system at the end of the day.
The R-Series is easily integrated with a full suite of data loggers which collect data from LiDAR, radar, camera, GPS, and other sensors, and can work alongside a wide array of in-vehicle data annotation tools.