This leading academic institution in Tianjin is a renowned academic institution known for its cutting-edge research in artificial intelligence (AI) and high-performance computing (HPC).
However, supporting these projects requires a robust and scalable storage solution capable of handling massive amounts of data. To meet this challenge, a leading academic institution in Tianjin turned to QSAN enterprise-grade storage solution.
Before upgrading the storage solution, the academic institution faced several challenges. First, its existing storage infrastructure was unable to keep up with the growing demands of its AI and HPC projects, leading to slow data access and processing times.
Second, the lack of scalability and flexibility made it difficult for the institution to add new storage capacity as needed to handle the massive data sets generated by its research projects. Finally, the institution needed a storage solution that could provide high availability and data protection to ensure the integrity of its research data.
The XCubeSAN 3326D storage system delivers high-performance support and robust data protection for the institution’s intelligent analysis platform. With its hybrid flash storage array active-active solution, it ensures zero data loss and uninterrupted core data operations.
The system enables unified storage resource pools for various applications, including wearable tracking, spatiotemporal behavior analysis, VR systems, human-machine-environment testing, and facial recognition. Users have praised its seamless operation and performance.
QSAN provided one XCubeSAN 3326D (single configuration with 256GB cache, 8 32Gb FC interfaces, 8 10GbE interfaces, 2 management ports, and 4 12Gb SAS expansion ports) and three XD5326Ds, with a total of 104 7.68T SAS SSD hard disks configured by the user.
The storage system is connected to the front-end server through two 32Gb FC switches, and the server provides virtualized server clients, providing front-end servers with bandwidth of no less than 12.8GB/S and high performance of 1.3 million IOPS.
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