High performance storage for Advanced Driver Assistance Systems

Store, manage and analyze data for self-driving vehicles.

Advanced Driver Assistance Systems require file storage at unprecedented scale.

Qumulo is a modern file system, designed to handle multi-petabyte datasets.

Qumulo easily scales as your data grows and gives you real-time visibility into the storage system, down to the file level, within a single namespace.

How it works:

Here is an example of a SIL workflow, where software simulates the behavior of an electronic control unit (ECU).

The captured sensor data is transferred to Qumulo, typically over SMB. From there the SIL servers retrieve it, resulting in many parallel read streams. The servers send the data, along with the test cases, out to the simulation software and then send the results back to the file storage system.

Data enrichment is the tags that are added to the video. The footage needs to be labeled and indexed so that developers can query for specific video sequences.

Case study: Hyundai MOBIS

Before Qumulo, Hyundai MOBIS struggled to manage data that was fragmented across silos, limiting availability. Today they use Qumulo to deploy a single volume that unlocks their data and easily scales for the future.

Blog post

Read about how Qumulo addresses unique ADAS data challenges.

“Managing data with Qumulo is so simple it’s hard to describe the impact. It has given us tremendous ROI in terms of time saved and problems eliminated, and having that reliable storage we can finally trust makes us eager to use it more broadly throughout the company.”


John Beck, IT Manager Hyundai MOBIS

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