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Technology / Data

HPE & Nvidia partner to accelerate deep learning & AI adoption

HPE is expanding its product portfolio in the field of deep learning analytics and insights.

The company’s new portfolio of products include the HPE SGI 8600 and interactive rendering from the data centre with HPE Apollo 6500 and Nvidia Tesla GPUs, while support for Nvidia’s next generation Tesla GPUs based on the Volta architecture has also been added.

HPE says that its collaboration with Nvidia will help to address GPU technology integration with deep learning expertise, with the hope that it will accelerate the adoption of technology that provides real-time insights from massive data volumes. 

Ian Buck, General Manager of Accelerated Computing at NVIDIA said:  “Expanding our collaboration with HPE around deep learning will help enterprises deploy, manage and optimize their GPU computing infrastructure and realize the benefits of AI and deep learning in their business.”

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The collaboration will bring centres of excellence for benchmarking, code modernisation, and proof of concept initiatives, in addition to an early access program for Volta-based Nvidia Tesla SXM2 GPU systems powered with eight GPU’s, this will be available for select customers in Q4 this year.

As part of HPE’s push to support AI and deep learning environments, Pointnext is offering HPE Flexible Capacity, a service that is designed to provide on-demand capacity that it says will combine the benefits of public cloud with on-premises IT.

Read more: Hello DXC Technology, Goodbye HPE Enterpise Services and CSC

“With the need to embed more intelligence and automation into data analytics to address scientific and business challenges, artificial intelligence-based techniques are growing in importance. HPE’s systems and solutions innovations announced today are designed to address key performance and expertise constraints affecting deep learning,” said Steve Conway, SVP for Research at Hyperion Research.  

“HPE’s enhanced collaboration with NVIDIA for Deep Learning and comprehensive infrastructure capabilities, from the Core Datacenter to the Intelligent Edge, aims to use automated intelligence to enable real-time insights for customers.”

This article is from the CBROnline archive: some formatting and images may not be present.