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"insideHPC Guide to NVIDIA EGX Platform: One Architecture for Every Workload"

The massive growth of data requires that organizations analyze their data center infrastructure to meet changing workload needs. Artificial Intelligence (AI), High Performance Computing (HPC), big data analytics and professional visualization are growth drivers which are changing workloads.

AI is foundational and is transforming the way businesses work across many industries. But the use of AI will become critical as new tools and technologies such as 5G wireless hyperconnectivity, edge computing, and Radio Area Networks (RANs) become a reality. According to Carl Flygare, NVIDIA Pro GPU Product Marketing Manager, PNY Technologies, “Organizations need to reimagine data centers to meet AI and big data analytics intensive workload needs, sophisticated visualization and rendering workflows, and prepare for a GPUaccelerated VDI enabled mobile workforce.”

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