Infortrend Adds Auto-Tiering Function for EonStor CS Scale-out NAS

Infortrend Technology, Inc. announces the auto-tiering function for its EonStor CS scale-out NAS.

The feature optimizes RW performances and utilizes storage capacity for mass data analytics such as in large-scale HPC.

HPC has been widely used for industry innovations and academic research such as finding the oil drilling locations, weather, and genetic analysis. It paves the way for engineers and scientists to analyze mass volume and complex data in less time over traditional computing. One of the key requirements of HPC storage is high throughput for random and sequential RW speeds. This can speed up the analysis process and help organizations gain a competitive edge.

The solution to HPC storage is EonStor CS scale-out NAS. The CS system delivers up to 4.1GB/s throughput per node and the performance can be increased linearly by adding more nodes, and at the same time, the storage capacity also. In addition, it supports auto-tiering to utilize the performance of SSDs and the massive capacity of HDDs. The system will automatically allocate the processing ‘hot data’ onto high-performance SSDs to meet the mass data read/ write requirements of HPC analytics. Once the data have been finalized, they are identified as ‘cold data’ and will be moved to HDDs with petabyte-level capacity for archiving purposes.

To build a more cost-effective solution, organizations can combine EonStor CS 4014U (supporting 2.5″ U.2 NVMe SSDs) with HDD-based expansion enclosures. In this way, organizations get a high-performance petabyte-level storage system that offers storage efficiency while minimizing setup costs and satisfying the mass data analytic I/O requirement of HPCs.

“EonStor CS supports the auto-tiering that allows organizations to enjoy both high performance and capacity, which means increasing storage efficiency and lowering TCO. And that makes EonStor CS an ideal storage choice for large-scale HPC applications,” said Frank Lee, senior director, product planning.

Resource:
Automated Storage Tiering