With DDN DataFlow solutions, organizations can protect, manage, archive, and recover digital information simply and effectively, across any infrastructure, on any platform, over any period of time.
Organizations are facing an exponential increase in complexity and cost managing storage resources within the entire Big Data infrastructure. Today’s storage networks are made up of local block-based arrays, file systems, business analytics repositories, and distributed object stores, each with their own unique management requirements. In order to cope with this explosion in complexity, data managers need the features and efficiency derived from a single application that monitors all types of storage resources.
Automating Storage Tiers Can Drive Faster, Deeper Analytical Insight
In this business impact brief, 451 research explores the importance of the storage layer and why it is expected to play a crucial part in the modern IT environment with the increased focus on analytics and the adoption of AI/ML workloads.
The IntelliFlash H-Series intelligent infrastructure is a fourth-generation storage solution that delivers an exceptional user experience through automation, analytic insights, and a variety of time-saving management features to drive your most valuable workloads in today’s data centers.
Non-Volatile Memory Express (NVMe™) is now a well-established technology that empowers enterprise applications with native flash performance by eliminating legacy interface bottlenecks.
Most flash-based solutions force you to compromise on performance, cost or enterprise capabilities. The IntelliFlash N-Series is a fifth-generation intelligent storage infrastructure solution that doesn’t require you to compromise. It delivers an exceptional user experience and outstanding cost-efficiency through automation, analytic insights, and a variety of time-saving management features to drive and optimize your most valuable workloads.
Thinking Ahead with AI? You’d Better Get Smart about Data Storage.
In this Business Impact Brief, 451 Research examines the impact of artificial intelligence and deep learning have on IT infrastructure and why implementing the right storage is a critical step in machine learning projects.
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