25 Jun 2018 Frankfurt, Santa Clara - DataDirect Networks (DDN) has introduced several new high-performance computing (HPC) storage solutions and capabilities, which it is featuring at the International Supercomputing event, ISC 2018, in Frankfurt, Germany. These new solutions include two workload-accelerating, 100-percent NVMe storage appliances, the SFA200NV and SFA400NV, which are built to meet changing business demands; enhancements to DDN's enterprise-ready Lustre file system solution, EXAScaler 4.0, which provides advanced capabilities on top of the world's most scalable file system; and DDNs next-generation scale-up, scale-out hybrid flash storage appliance, the SFA7990.
"The new offerings from DDN highlight the merger of new flash technologies and new high-performance workloads", stated Addison Snell, chief executive officer, Intersect360 Research. "Moreover, DDN continues to show leadership with Lustre, the most used parallel file system in our latest survey of HPC environments."
As AI and deep learning applications continue to proliferate and present the data centre with new workloads, DDN, with its history of solving the most intractable IO problems, is ready to assist with products to accelerate its customers' lines of business.
"Many of DDN's customers are entrenched in challenges they had not previously faced in the data centre. We have always collaborated to help them solve their most demanding problems, but now we are taking it a step further", staetd James Coomer, vice president of product, DDN. "The new line of products is designed to efficiently address the needs of HPC customers, while simultaneously enabling newer AI and deep learning architectures."
DDN has enhanced its EXAScaler line with the new EXAScaler 4.0, the only enterprise-ready Lustre file system solution providing advanced capabilities for customers running technical and high-performance computing (HPC) workloads and customers supporting artificial intelligence (AI) and deep learning environments. DDN has engineered the EXAScaler 4.0 to provide best-in-class high availability, reliability and serviceability capabilities.
In addition, customers can count on DDN's expertise to help them address the challenges of Exascale and Big Data analytics while minimizing costs through improved integration, monitoring and management. EXAScaler 4.0 offers increased metadata performance, integrated monitoring capabilities and enhanced security features that allow customers to implement and deploy parallel file systems in complex, highly secure environments. The new solution also delivers simplified installation and deployment methods.
Following industry trends and requirements, DDN has developed an entirely new class of DDN Storage Fusion Architecture appliances, the SFA200NV and the SFA400NV. At up to 40GB/s and 1.5M IOPS, the 2U SFA NVMe all flash platforms provide the fastest storage solution in the industry and can hold up to 24 NVMe SSDs in a minimum 2U form factor. Whether accelerating an analytics workload, reducing latencies for tough NoSQL databases, or handling a growing deep learning project, DDNs SFA NVMe platforms are ideal cost-effective elements in solving challenging IO problems. The platforms are available as block storage devices or as integrated high-performance file appliances. DDN's EXAScaler and GRIDScaler file systems enable a storage "building block" model to scale-out the parallel file name space with maximum efficiency.
The SFA7990 is the ultimate midrange platform for storage consolidation. The SFA7990 hybrid flash storage platform is designed to grow with the needs of an organisation's accelerating business requirements and provides flexibility without compromise. Customers can start with as small as a few terabytes and grow seamlessly to multi-petabyte capacity. The SFA7990 appliance can also be configured with embedded high-performance parallel file systems in an integrated package. DDNs SFA7990 EXAScaler and GRIDScaler solutions provide a modular approach to building the most capable platforms for parallel file storage systems.