HPE debuts compute and storage platforms aimed at deep learning, financial services applications

Hewlett Packard Enterprise (HPE) launched new workload-optimized compute and storage 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. Enterprises 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. Deep learning algorithms are exploding in the industry as organizations are under competitive pressure to support the increasing sophistication of simulation and machine learning models. With up to eight high performance NVIDIA GPU…


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