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NVIDIA DGX-Ready Program Goes Global

NVIDIA DGX-Ready Program Goes Global

Enterprise & IT Jul 11,2019 0

To help businesses deploy AI infrastructure, Nvidia's DGX-Ready Data Center program is going global.

The company is also added new services that will help organizations accelerate their progress.

Nvidia has added to the program three new partners in Europe, five in Asia and two in North America. With these additions, Nvidia's customers now have access to a global network of 19 validated partners around the world.

DGX-Ready Data Center partners help companies access modern data center facilities for their AI infrastructure. They offer facilities to host DGX AI compute infrastructure, giving more organizations access to AI-ready data center facilities while saving on capital expenditures and keeping operational costs low.

The program is now offered in 24 markets, including Australia, Austria, Brazil, Canada, China, Colombia, Denmark, France, Germany, Hong Kong, Iceland, Ireland, Italy, Japan, the Netherlands, Peru, Singapore, South Korea, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States — with more coming soon.

Among the new locations is the Fujitsu Yokohama Data Center in Japan, which hosts dozens of NVIDIA AI systems.

Among Nvidia's new DGX-Ready colocation partners is Fujitsu, equipped with more than 60 NVIDIA DGX-1 and DGX-2 systems in the Fujitsu Yokohama Data Center in Japan. Image courtesy of Fujitsu Ltd.

Select Nvidia's DGX-Ready colocation partners are adding “try-and-buy” options that let enterprises “test drive” their DGX infrastructure. Core Scientific and Flexential are among the first partners to offer this capability.

Additionally, select Nvidia's partners offer GPU-as-a-service options that let businesses access DGX-powered compute in an affordable model, without committing to a full system.

Mobile game developer Jam City is taking advantage of this capability to accelerate game development using Core Scientific’s AI-Optimized Cloud, powered by NVIDIA DGX.

Tags: NvidiaArtificial Intelligence
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