DataBank, a leading provider of enterprise-class, HPC-ready edge colocation, interconnection, and managed services, announced it has achieved certification with the NVIDIA DGX-Ready Data Center program, which validates that data center colocation facilities are suitable for hosting NVIDIA DGX systems.

The certification, which applies to six of DataBank's facilities in Atlanta, Denver, Dallas, New York, and Minneapolis, signifies that these data centers are liquid-cooled ready and able to support NVIDIA Blackwell, NVIDIA Grace CPUs and NVIDIA BlueField networking.

"With a footprint that features data centers in more metros than any other U.S. provider, an award-winning Universal Data Hall Design, and a track record of hosting HPC installations, such as those at Georgia Tech, the University of Maryland, and New Jersey Institute of Technology, DataBank has already demonstrated its ability to support the most advanced AI compute infrastructures," said Raul Martynek, DataBank's CEO. 

"This certification in the NVIDIA DGX-Ready Data Center program further extends our leadership, and we are delighted to work with NVIDIA to accelerate the development, design, and deployment of our AI data center portfolio." 

AI workloads produce unique demands on digital infrastructure and data center resources, requiring expert consideration, planning, and design from a power and cooling perspective. 

Certification in the NVIDIA DGX-Ready Data Center program indicates that DataBank's facilities are equipped to meet the unique needs of AI infrastructures, including adaptable colocation space, sustainable high-density power infrastructures, and innovative liquid-based heat-extraction solutions. 

"Enterprises are seeking efficient ways to implement AI without the complexities of building and managing specialized data centers," said Tony Paikeday, senior director of AI systems at NVIDIA. 

"With NVIDIA DGX-Ready Certified Data Center program certification, DataBank is equipped to empower organizations with access to state-of-the-art facilities, comprehensive services, and NVIDIA's advanced AI infrastructure to accelerate time to value for their AI initiatives."