Continuing its push to spread accelerated computing, Nvidia is launching a new program called DGX-Ready aimed at enabling customers “to deploy AI with ease” in an op-ex model. This morning the Santa Clara, Calif.-based company announced the DGX-Ready Data Center program, which offers customers another deployment option through a network of nine colocation partners.
“Internet services companies, healthcare facilities, government labs, financial institutions, oil and gas businesses and more have all benefited from building and deploying their own DGX system-based AI data centers,” said Tony Paikeday, director of product marketing for Nvidia’s DGX product family, in a company blog post. “However, for some businesses that want to do the same, a fundamental challenge exists: they don’t have modern data center facilities that can support accelerated computing operations.”
Using the infrastructure of qualified partner datacenters, businesses in the U.S. and Canada can deploy Nvidia’s DGX-1 and DGX-2 servers and recently announced DGX reference architecture solutions from DDN, IBM Storage, NetApp and Pure Storage.
“Customers will continue to order DGX servers and/or DGX POD/Reference Architectures through Nvidia’s Partner Network (NPNs), and can utilize the DGX-Ready Data Center program to engage with our colocation partners,” Paikeday told HPCwire in an email exchange.
At launch, there are nine North American datacenter operators: Aligned Energy, Colovore, Core Scientific, CyrusOne, Digital Reality, EdgeConneX, Flexential, Scale Matrix, and Switch. Nvidia says it is planning to roll out the program globally later this year and may also expand its North American network of partners.
With the launch of DGX-Ready, Nvidia is creating another avenue to sell its top-line Tesla parts and DGX systems, which target the HPC and AI marketplace. The chipmaker is coming off a disappointing fourth quarter, where datacenter revenue in particular came up short. “A number of deals in the company’s forecast did not close in the last month of the quarter as customers shifted to a more cautious approach,” noted a statement from the company. “Despite these near-term headwinds, Nvidia has a large and expanding addressable market opportunity in AI and high performance computing, and the company believes its competitive position is intact.”