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The revolution of research into ground-breaking discoveries needs a blend of modern technology and intelligent scientists. NetApp storage solutions are designed to manage organizations' reliability and performance requirements with HPC file systems, including IBM Spectrum Scale, BeeGFS, Lustre, and others.
FREMONT, CA: Scientists from around the world are searching for discoveries that will increase security, raise universe awareness, and address some of the world's major problems. NetApp storage systems offer a complete line of high density and high-performance storage systems. NetApp storage systems use an advanced price/performance modular architectural system that offers the true value-for-money approach for meeting the requirements of multi-petabyte datasets. The storage systems accelerate data access and allow businesses to develop valuable insights for performance-sensitive workloads quickly.
Companies are looking for ways of increasing the speed and flexibility of their complex business processes applications. Since application performance is a key factor in time for sales, market, and consumer satisfaction, it is essential for companies to operate at the highest efficiency level. With the Serial SCSI (SAS) protocol, storage systems of NetApp can double the output of currently available all-flash arrays. NetApp is a leader in this service as businesses continue to move to flash.
The latest EF600 all-flash array of the NetApp offers 2 millions of scalable IOPS, 44 Gbps of performance and response times of less than 100 microseconds along with a leading price ratio/performance for enterprise workloads. The EF600 is much easier to handle without any difficulty in regards to management, due to the robust usability, modular design, and simple management tools of the NetApp systems. The quick and useful knowledge of a variety of mixed workload environments allows businesses to separate themselves from rivals and to accelerate their time in the market.
The effective storage solutions provided by NetApp allow consumers to unlock the value of their data and quickly develop insights that were previously unrealistic for delicate workloads, such as real-time analytics, Oracle databases, and high-performance computing applications.
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