Get Results Faster. Whether you perform hardware-in-the-loop (HIL) tests in real time, software-in-the-loop (SIL) simulations, or have demanding machine learning workloads, there is a QF2 cluster that suits your needs.
Choose hybrid, SSD/HDD QF2 clusters, available either on Qumulo standard hardware or HPE servers to get the performance you need to complete your HIL and SIL tests quickly for a faster time to market.
If you are training neural networks you need top performance. QF2 NVMe all-flash clusters deliver the best price performance of any SSD file system.
Scalability. You can add capacity to your QF2 cluster in just a few minutes, without any down time. Every node you add increases aggregate and peak performance as well as capacity so your storage system grows in accordance with your business needs.
Efficiency. QF2 makes 100% of provisioned disk capacity available, as opposed to the 70%-80% promised by legacy storage vendors. Save on the number of disks you’ll need as well as on rack space and infrastructure costs such as cooling and power.
Real-time visibility and control. QF2’s visibility and control let administrators get answers and solve problems in real time. It's easy to identify performance hot spots and instantly apply quotas or to specify how much storage each project should receive. The capacity explorer and capacity trends tools let the IT team see how their storage is being used now and over time so they can plan sensibly for the future and not worry about overprovisioning.
See a single volume. A QF2 cluster always appears as a single volume, no matter how many nodes it has.
Highest rated support. Get help fast from our team of storage experts with your own Slack channel.
Simple subscription pricing. A single, simple subscription model covers everything, including all features, updates and support.
Video data was fragmented across silos, limiting availability. Hyundai MOBIS used QF2 to deploy a single volume that unlocks their data today and easily scales for the future. (1 page, PDF)
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 QF2, 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.
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