The easiest route - we'll conduct a 15 minute phone interview and write up the review for you.
Use our online form to submit your review. It's quick and you can post anonymously.
Positive
I am a system integrator, and my customers are using EXAScaler as the de facto parallel file system for Google Cloud. They primarily use it for large AI cluster training.
EXAScaler provides amazing performance in terms of sequential read and random access, and it has a significant scalability advantage as it is scalable to petabytes.
One challenge with EXAScaler is during upgrade time, as it can be problematic when upgrading node by node. Additionally, it is not multi-protocol by nature, requiring additional hardware to support various protocols like NFS or object storage.
EXAScaler is inherently scalable due to its Lustre file system, which can scale to petabytes.
I would rate customer support around eight or nine out of ten. They are specialized and provide fine support.
Positive
EXAScaler is a bit expensive, particularly when comparing the total cost of ownership.
Alternate solutions that have been mentioned include WEKA and VAST, which are modern file systems offering unified storage concepts and supporting multiple protocols in the same storage.
The customers who use DDN EXAScaler are happy, especially when using large AI clusters for training. Despite being expensive, when performance is measured, DDN's solutions are prominent.
Overall, I would rate the solution at nine out of ten.