Infortrend Implemented RDMA for Internal Networks of EonStor CS Scale-Out NAS
Applications that can take advantage of technology: big data analysis, massive parallel HPC and ML
This is a Press Release edited by StorageNewsletter.com on November 24, 2020 at 1:34 pmInfortrend Technology, Inc. has implemented Remote Direct Memory Access (RDMA) for internal networks of EonStor CS scale-out NAS to boost the overall cluster performance.
Among the applications that can take advantage of the technology there are big data analysis, massive parallel HPC, and ML.
EonStor CS is a scale-out NAS system. By adding more CS nodes, enterprises can get a performance and high capacity cluster system with up to 100+GB/s R/W speed and more than 100PB of storage for the needs of future data growth. Scale-out expansion offers an cost-effective way of managing growing data while reducing consequent performance bottlenecks. CS also simplifies data management by integrating data from all nodes into one cluster system.
As a cluster system, CS nodes use internal network for nodes intercommunication. The company implements RDMA for cluster internal network communications to improve the CS cluster performance by up to 30%. For preventing data loss and ensuring data protection, CS is designed with support of node protection ‘Erasure Code and Replica’ modes which are also executed between nodes via cluster internal network. With RDMA support, CS nodes’ CPU are offloaded from data copies, and this allows cluster nodes to perform data I/O workloads directly through the memory (‘zero-copy networking’ feature). With lowered CPU load, shortened network latency, and higher bandwidth, CS RDMA cluster system boosts network and host performance by leveraging its CPU for processing massive data I/O and increases IO/s.
“Enterprises can now experience higher performance gains and lowered I/O latency of EonStor CS scale-out NAS cluster. RDMA allows to bypass CPU and release its resources for applications requiring high IO/s and HPC processing massive amounts of data,” said Frank Lee, senior director, product planning.
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