Vertiv is now a Resolution Advisor: Marketing consultant associate within the NVIDIA Accomplice Community (NPN), offering wider entry to Vertiv’s expertise and full portfolio of energy and cooling options.
NPN is a world program for expertise companions who supply options constructed on, or powered by, NVIDIA applied sciences. Amongst main software program distributors, cloud service suppliers, answer suppliers, and system integrators, Vertiv joins the community to supply its experience in addressing the distinctive infrastructure challenges offered by accelerated computing. NPN offers entry to a spread of advantages, together with technical help, coaching and collaboration alternatives, serving to companions ship revolutionary options to their prospects.
“Vertiv has collaborated with NVIDIA in analysis, improvement and engineering for a number of years, designing revolutionary merchandise and options that help the deployment of NVIDIA applied sciences globally,” mentioned Giordano (Gio) Albertazzi, CEO at Vertiv. “We’ve mixed our management in energy and cooling options with NVIDIA’s cutting-edge platforms to assist meet the calls for of essentially the most compute-intensive functions and help the deployment of AI infrastructure throughout the globe. Now, we’re collaborating to construct state-of-the-art liquid cooling options for next-gen NVIDIA accelerated information centres powered by GB200 NVL72 techniques.”
Vertiv’s high-density energy and cooling options are designed to help the following era of GPUs working essentially the most compute-intensive AI workloads safely, at optimum efficiency and with excessive availability. Vertiv’s portfolio of liquid cooling applied sciences, akin to Vertiv™ Liebert® XDU coolant distribution models, Vertiv™ Liebert® XDM cut up indoor chillers, and Vertiv™ Liebert® DCD rear-door warmth exchangers, cowl a variety of utility necessities. The Vertiv™ Geist™ rack energy distribution models (PDUs) household has been prolonged to accommodate larger energy draw throughout the rack, minimising footprint whereas sustaining excessive effectivity.
