High-Performance Storage for AI and ML

High-Performance Storage for AI and ML

Now the hard part: getting there. Your applications need more data, but storage performance has lagged beyond what traditional CPUs can deliver. While GPUs have shrunk compute infrastructure by 40%, the data they process has grown by 50%—but this comes at a high cost: organizations are investing substantial dollars to modify GPUs and get the high-density platform they need. To extract the maximum return from that investment, you need the right infrastructure: a more efficient, higher performing storage platform incorporated into your workflow.

Hitachi Content Software for File. It’s the high-performance storage solution you need to stay competitive. It expands the limits of what storage can do for AI, machine learning, analytics, and other GPU accelerated workloads.

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SaaS and the evolution of cloud-based data management

In this white paper, we provide an overview of the evolution of cloud-based technology in the data management space; we assess the benefits of the most commonly used deployment models; we set out our own vision for the future based on a software-as-a-service (SaaS) model; and we explain the journey we are on to deliver increased value for our clients, including the end business user.

SaaS and the evolution of cloud-based data management

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