AI and accelerated computing twin engines NVIDIA continuously improves are delivering energy efficiency for many industries. It’s progress the wider community is starting to acknowledge. “Even if the predictions that data centers will soon account for 4% of global energy consumption become a reality, AI is having a major impact on reducing the Read Article How the big AI efficiency leap from the NVIDIA P100 GPU to the NVIDIA Grace Blackwell compares to car fuel-efficiency gains.
Driving Data Center Efficiency
NVIDIA delivers many optimizations through system-level innovations. For example, NVIDIA BlueField-3 DPUs can reduce power consumption up to 30% by offloading essential data center networking and infrastructure functions from less efficient CPUs.
Last year, NVIDIA received a $5 million grant from the U.S. Department of Energy the largest of 15 grants from a pool of more than 100 applications to design a new liquid-cooling technology for data centers. It will run 20% more efficiently than today’s air-cooled approaches and has a smaller carbon footprint.
These are just some of the ways NVIDIA contributes to the energy efficiency of data centers.
Data centers are among the most efficient users of energy and one of the largest consumers of renewable energy.
The ITIF report notes that between 2010 and 2018, global data centers experienced a 550% increase in compute instances and a 2,400% increase in storage capacity, but only a 6% increase in energy use, thanks to improvements across hardware and software.
NVIDIA continues to drive energy efficiency for accelerated AI, helping users in science, government and industry accelerate their journeys toward sustainable computing.
