Infortrend EonStor CS NVMe SSD Storage System

Infortrend Technology, Inc. satisfies requirements of high throughput and fast response time for HPC, media post-production, and medical PACS applications with EonStor CS NVMe SSD storage delivering 13GB/s throughput in a 3-node cluster, and performance linearly increases as more nodes added in a scale-out mode.

Today’s HPC applications perform computationally intensive operations with billions of files across multiple resources of different nature at petabyte scale. So, storage for HPC is required to simultaneously support multiple random and sequential IO workloads of different sizes. If a storage system is not able to meet these requirements, it can extensively delay the HPC application output and the company’s success. EonStor CS NVMe SSD storage, CS 4014U, effectively eliminates these concerns and guarantees fast response time, satisfying various types of IO profiles.

EonStor CS NVMe SSD storage CS 4014U front and rear

For media editing, storage requirements are high as well. Starting post-production without suitable shared storage can set back all the hard work put into production. As M&E studios implement a workflow involving several editors collaborating on 4K/8K videos, storage should feature high throughput and fast response time to support multiple video playback streams. CS 4014U delivers performance for media editing: A 3-node cluster supports 4K DPX 60fps 16-bit playback video streams.

Furthermore, EonStor CS NVMe SSD storage is a solution for medical PACS. Leveraging low latency and high throughput of U.2 NVMe SSD, it speeds up access to clinical data and improves PACS operational efficiency and, therefore, the overall quality of the diagnostic services provided by medical organizations. In addition, CS 4014U supports a hybrid configuration with HDD JBOD: ‘hot’ data of current patients is stored in the SSDs for access, while old data is migrated to the HDD tier for file archive.

“EonStor CS NVMe SSD solution delivers truly impressive performance and low latency for increased storage responsiveness in applications with multiple random IO-intensive workloads, such as HPC, M&E, and medical PACS,” said Frank Lee, senior director, product planning.

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