The serious number-crunching demands of AI, IoT and big data - and the heat they generate - may mean air cooling is on its way out. Credit: artisteer / Getty Images Concern over escalating energy costs is among reasons liquid-cooling solutions could gain traction in the data center. Schneider Electric, a major energy-management specialist, this month announced refreshed impetus to a collaboration conceived in 2014 with liquid-cooling specialist Iceotope. Now, technology solutions company Avnet has been brought into that collaboration. The three companies will develop chassis-level immersive liquid cooling for data centers, Schneider Electric says in a press release. Liquid-cooling systems submerge server components in a dielectric fluid as opposed to air-cooled systems which create ambient cooled air. One reason for the shift: “Compute-intensive applications like AI and IoT are driving the need for better chip performance,” Kevin Brown, CTO and SVP of Innovation, Secure Power, Schneider Electric, is quoted as saying. “Liquid Cooling [is] more efficient and less costly for power-dense applications,” the company explains. That’s in part because the use of Graphical Processing Units (GPUs) is replacing some traditional processing, and is gaining ground. GPUs are better suited to data-mining-type applications than traditional processors. They parallel-process and are now used extensively in artificial intelligence compute environments and processor-hungry analytics churning big data. “This makes traditional data-center air-cooled architectures impractical, or costly and less efficient than liquid-cooled approaches.” Reasons liquid-cooling may become a new go-to cooling solution is also related to “space constraints, water usage restrictions and harsh IT environments,” Schneider said in a white paper earlier this year: As chip density increases, and the resulting rack-space that is required to hold the gear decreases, the need for traditional air-based cooling-equipment space keeps going up. So even as greater computing density decreases the space the equipment occupies, the space required for air-cooling it increases. The heat created is so great with GPUs that it stops being practical to air-cool. Additionally, as edge data centers become more important there’s an advantage to using IT that can be placed anywhere. “As the demand for IT deployments in urban areas, high rise buildings, and at the Edge increase, the need for placement in constrained locations will increase,” the paper says. In such scenarios, not requiring space for hot and cold aisles would be an advantage. Liquid cooling would allow for silent operation, too; there aren’t any fans and pumps making disruptive noise. Liquid cooling would also address restrictions on water useage that can affect the ability to use evaporative cooling and cooling towers to carry off heat generated by data centers. Direct-to-chip liquid-cooling systems of the kind the three companies want to concentrate their efforts on narrowly target the cooling at the server, not at the building level. In harsh environments such as factories and industrial IoT deployments, heat and air quality can hinder air-cooling systems. Liquid-cooling systems can be self-contained in sealed units, thus being protected from dust, for example. Interestingly, as serious computer gamers will know, liquid cooling isn’t a new technology, Wendy Torell points out in a Schneider blog post pitching the technology. “It’s been around for decades and has historically focused on mainframes, high-performance computing (HPC), and gaming applications,” she explains. “Demand for IoT, artificial intelligence, machine learning, big data analytics, and edge applications is once again bringing it into the limelight.” Related content news Supermicro unveils AI-optimized storage powered by Nvidia New storage system features multiple Nvidia GPUs for high-speed throughput. By Andy Patrizio Oct 24, 2024 3 mins Enterprise Storage Data Center news Nvidia to power India’s AI factories with tens of thousands of AI chips India’s cloud providers and server manufacturers plan to boost Nvidia GPU deployment nearly tenfold by the year’s end compared to 18 months ago. By Prasanth Aby Thomas Oct 24, 2024 5 mins GPUs Artificial Intelligence Data Center news Gartner: 13 AI insights for enterprise IT Costs, security, management and employee impact are among the core AI challenges that enterprises face. By Michael Cooney Oct 23, 2024 6 mins Generative AI Careers Data Center news Network jobs watch: Hiring, skills and certification trends What IT leaders need to know about expanding responsibilities, new titles and hot skills for network professionals and I&O teams. By Denise Dubie Oct 23, 2024 33 mins Careers Data Center Networking PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe