Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
The problem, for many companies in many industries: Legacy disk-based storage systems cannot deliver data to the servers fast enough to keep them all busy. As DL—a subset of machine learning (ML),and an advanced form of artificial intelligence (AI)—begin to take hold across industries, companies often find their storage systems are not equal to these new data- and compute-intensive applications that will propel their organizations forward. The answer: high-performance, all-flash storage systems designed to support data-intensive applications involving parallel processing.
The new reality is that big data analytics drives game-changing insights and helps companies leapfrog over their competitors, transforming whole industries. DL is now enabling applications such as Google Brain, which (among other things) learned to identify whether an image contains the address of a building, based on its being “trained” with massive amounts of related data. We are just at the beginning of applying DL technology broadly; the possibilities are endless.
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