While computing capacity has exploded in recent years, power consumption is growing more slowly thanks to greater energy efficiency. Credit: Google A predicted explosion in power consumption by data centers has not manifested thanks to advances in power efficiency and, ironically enough, the move to the cloud, according to a new report. The study, published in the journal Science last week, notes that while there has been an increase in global data-center energy consumption over the past decade, this growth is negligible compared with the rise of workloads and deployed hardware during that time. Data centers accounted for about 205 terawatt-hours of electricity usage in 2018, which is roughly 1% of all electricity consumption worldwide, according to the report. (That’s well below the often-cited stat that data centers consume 2% of the world’s electricity). The 205 terawatt-hours represent a 6% increase in total power consumption since 2010, but global data center compute instances rose by 550% over that same time period. To drive that point home: Considerably more compute is being deployed, yet the amount of power consumed is holding steady. The paper cites a number of reasons for this. For starters, hardware power efficiency is vastly improved. The move to server virtualization has meant a six-fold increase in compute instances with only a 25% increase in server energy use. And a shift to faster and more energy-efficient port technologies has brought about a 10-fold increase in data center IP traffic with only a modest increase in the energy use of network devices. Even more interesting, the report claims the rise of and migration to hyperscalers has helped curtail power consumption. Hyperscale data centers and cloud data centers are generally more energy efficient than company-owned data centers because there is greater incentive for energy efficiency. The less power Amazon, Microsoft, Google, etc., have to buy, the more their bottom line grows. And hyperscalers are big on cheap, renewable energy, such as hydro and wind. So if a company trades its own old, inefficient data center for AWS or Google Cloud, they’re reducing the overall power draw of data centers as a whole. “Total power consumption held steady as computing output has risen because of improvement efficiency of both IT and infrastructure equipment, and a shift from corporate data centers to more efficient cloud data centers (especially hyper scale),” said Jonathan Koomey, a Stanford professor and one of the authors of the research, in an email to me. He has spent years researching data center power and is an authority on the subject. “As always, the IT equipment progresses most quickly. In this article, we show that the peak output efficiency of computing doubled every 2.6 years after 2000. This doesn’t include the reduced idle power factored into the changes for servers we document,” he added. Koomey notes that there is additional room for efficiency improvements to cover the next doubling of computing output over the next few years but was reluctant to make projections out too far. “We avoid projecting the future of IT because it changes so fast, and we are skeptical of those who think they can project IT electricity use 10-15 years hence,” he said. Related content news Pure Storage adds AI features for security and performance Updated infrastructure-as-code management capabilities and expanded SLAs are among the new features from Pure Storage. By Andy Patrizio Jun 26, 2024 3 mins Enterprise Storage Data Center news Nvidia teases next-generation Rubin platform, shares physical AI vision ‘I'm not sure yet whether I'm going to regret this or not,' said Nvidia CEO Jensen Huang as he revealed 2026 plans for the company’s Rubin GPU platform. By Andy Patrizio Jun 17, 2024 4 mins CPUs and Processors Data Center news Intel launches sixth-generation Xeon processor line With the new generation chips, Intel is putting an emphasis on energy efficiency. By Andy Patrizio Jun 06, 2024 3 mins CPUs and Processors Data Center news AMD updates Instinct data center GPU line Unveiled at Computex 2024. the new AI processing card from AMD will come with much more high-bandwidth memory than its predecessor. By Andy Patrizio Jun 04, 2024 3 mins CPUs and Processors Data Center PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe