Hewlett Packard Enterprise Expands High-Performance Computing Server Portfolio

Workload Optimized Compute and Storage Platforms Deliver New Levels of Performance and Real-Time Insights for Deep Learning and Financial Services Applications PALO ALTO, CA–(Marketwired – Apr 4, 2016) –   Hewlett Packard Enterprise (NYSE: HPE) today announced new workload-optimized compute platforms and solutions to help customers accelerate innovation and time-to-value with deep learning systems, high-performance computing (HPC) and financial services industry (FSI) applications. Organizations running complex HPC and big data workloads, such as modeling, simulation, high frequency trading and deep learning are now able to modernize their data centers with infrastructure solutions that are purpose-built and optimized to analyze, massive volumes of data with speed, scale and efficiency. IDC forecasts robust growth of the worldwide HPC market from $21 billion in 2015 to $31 billion in 2019.1   “As high performance and webscale applications…

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