Introducing NVMe for Mobility and Edge Data Capture

by Feb 17, 2021CMMA Blog, Uncategorized0 comments

Non-Volatile Memory Express (“NVMe”) was introduced as a new protocol for flash storage many years ago, and with distinct advantages over traditional SSD storage it has quickly become adopted for use cases that require high performance.  As a protocol, NVMe is designed to take advantage of the parallelism of flash storage, and eliminates some of the transport bottlenecks in legacy protocols and architectures. 

Quantum first introduced NVMe storage servers in early 2019 with the Quantum F-Series, a line of highly available NVMe storage servers for ingest, processing, and rendering of unstructured data with the StorNext file system.  Quantum is now introducing NVMe to the R-Series line of edge storage devices, to ingest and process large amounts of sensor data inside a moving vehicle. 

Test vehicles used to develop automated driver assistance systems (ADAS) as well as fully autonomous driving generate large amounts of sensor data.  This sensor data – video, still images, LiDAR images – requires fast ingest in a compact form factor – an ideal use case for NVMe.

The new R6000 product delivers up to 61.44 TB of NVMe storage capacity, in a compact form factor designed to fit in the trunk of a car.  It is easily integrated with a full suite of LiDAR, radar, camera, GPS, and other sensors, and can work alongside a wide array of in-vehicle data annotation tools.

The canister containing the NVMe storage can also be easily removed once a car is parked in a garage, so a technician can upload the new data into a shared storage system for processing, and quickly put a new canister back in the test vehicle to get it back on the road.  To learn more about the new R6000 product, check out the product page .

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