Case Study: STRADVISION accelerates autonomous driving development with Qumulo's scalable data platform

StradVision scales to 2PB and 18 nodes with Qumulo

StradVision, a leader in AI-based vision recognition software for autonomous vehicles, faced significant data management challenges. Their legacy system, comprising over 20 fragmented Synology NAS units, could not reliably handle over 2PB of unstructured data and hundreds of simultaneous users, leading to performance bottlenecks and frequent failures. They partnered with storage vendor Qumulo to find a centralized, scalable solution.

Qumulo implemented a hybrid cloud file storage solution using on-premises clusters and its cloud-native CNQ platform on AWS. The transition was completed in under a month, and the deployment was later expanded from 13 to 18 nodes. This provided StradVision with stable, high-performance storage for AI training workloads, real-time data analytics, and monitoring. The results included reliable performance for hundreds of concurrent users, reduced operational overhead and unplanned downtime, and accelerated model development. StradVision also highlighted Qumulo's exceptional 24/7 support as key to minimizing downtime.

StradVision