Digital Realty launches Data Hub for AI deployment



Digital Realty (NYSE: DLR) has launched Data Hub featuring NVIDIA DGXTM systems, to enable the rapid deployment of AI and ML workloads on PlatformDIGITAL.

By deploying Data Hubs on PlatformDIGITAL, enterprises create centres of data exchange to solve global coverage, capacity and connectivity needs. These centres of data exchange can be used to securely implement organisational AI and machine learning initiatives.

Digital Realty said the Data Hub accelerated digital transformation by removing “data gravity barriers for enterprises”.

“Customers today need AI infrastructure that can break through data barriers and power the digital enterprise,” said Chris Sharp, CTO, Digital Realty (pictured).

“As an NVIDIA DGX-Ready data centre program partner, Digital Realty provides customers with globally focused, unified data centre services, coupled with extensive design and construction expertise, giving them the launch pad needed to achieve their AI and digital transformation goals.”


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Delivered as part of NVIDIA DGX-Ready data centre program, the Data Hub solution accommodates a typical enterprise deployment of AI infrastructure to address the placement, connectivity and hosting of critical data infrastructure in proximity to users, networks, clouds and things.

“Our customers use AI to drive their business transformation, but don’t always have facilities designed to meet the unique demands of AI workloads in their data center,” added Tony Paikeday, director of product marketing for DGX systems at NVIDIA. “Digital Realty offers a simplified, cost-effective means to host NVIDIA DGX POD infrastructure in world-class environments optimised for our solutions.”

The new solution localises data aggregation, staging, analytics, streaming and data management to optimise data exchange and maintain compliance. It allows businesses to deploy regional data lakes and distributed data warehouses, maintain optimal compliance and sovereignty, integrate public and private data sources and distribute business intelligence across the enterprise.

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