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{"id":6451,"date":"2022-05-24T14:43:16","date_gmt":"2022-05-24T14:43:16","guid":{"rendered":"https:\/\/scienceandnerds.com\/2022\/05\/24\/nvidia-turns-to-liquid-cooling-to-reduce-big-techs-energy-use\/"},"modified":"2022-05-24T14:43:17","modified_gmt":"2022-05-24T14:43:17","slug":"nvidia-turns-to-liquid-cooling-to-reduce-big-techs-energy-use","status":"publish","type":"post","link":"https:\/\/scienceandnerds.com\/2022\/05\/24\/nvidia-turns-to-liquid-cooling-to-reduce-big-techs-energy-use\/","title":{"rendered":"Nvidia turns to liquid cooling to reduce big tech\u2019s energy use"},"content":{"rendered":"

Source: https:\/\/www.theverge.com\/2022\/5\/24\/23138928\/nvidia-liquid-cooling-a100-server-graphics-cards-computation-ai<\/a>
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Nvidia has announced its new plan for reducing the energy use of data centers crunching massive amounts of data or training AI models: liquid-cooled graphics cards. The company announced at Computex<\/a> that it\u2019s introducing a liquid-cooled version of its A100 compute card<\/a>, and says that it consumes 30 percent less power than the air-cooled version. Nvidia\u2019s also pledging that this isn\u2019t just a one-off, it\u2019s already got more liquid-cooled server cards on its roadmap, and hints at bringing the tech to other applications like in-car systems that need to keep cool in enclosed spaces. Of course, Tesla\u2019s recent recall for overheating chips shows how tricky that can be<\/a>, even with liquid cooling.<\/p>\n

According to Nvidia, reducing the energy needed to perform complex computations could make a big impact \u2014 the company says data centers use over one percent of the world\u2019s electricity, and 40 percent of that is down to cooling. Reducing that by almost a third would be a big deal, though it is worth noting that graphics cards are only one part of the equation; CPUs, storage, and networking equipment also draw power and need cooling as well. Nvidia\u2019s claim is that with liquid cooling, GPU-accelerated systems would be far more efficient than CPU-only servers on AI and other high-performance tasks.<\/p>\n

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Nvidia\u2019s roadmap for liquid cooled appliances and cards.<\/em><\/figcaption>Image: Nvidia<\/cite><\/p>\n

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There\u2019s a reason liquid-cooling is popular in high-performance use cases, from supercomputers to custom gaming PCs<\/a> and even<\/a> a few<\/a> phones<\/a>: liquids absorb heat better than air, according to Asetek<\/a>, a major manufacturer of water cooling systems. And once you have warm liquid, it\u2019s relatively easy to transfer it elsewhere so it can cool off, compared to trying to cool down the air in an entire building or increase airflow to the specific components on a card that are dumping out all the heat.<\/p>\n

Besides the energy efficiency, liquid-cooled cards have another bonus over their air-cooled counterparts \u2014 they take up significantly less room, meaning you can fit more of them in the same amount of space.<\/p>\n

Nvidia\u2019s push to lower energy use via liquid-cooling comes at a time when a lot of companies are considering the amounts of energy their servers use. While data centers are far from the only source<\/a> of carbon emissions<\/a> and pollution for big tech, they\u2019re a piece of the puzzle that can\u2019t be ignored, and critics have noted that offsetting energy use<\/a> through credits isn\u2019t as impactful as reducing consumption altogether. Companies like Microsoft have experimented with submerging servers in liquid completely<\/a> and even putting whole data centers in the ocean<\/a> in a bid to use less energy and water<\/a>.<\/p>\n

Of course, those solutions are rather exotic \u2014 while the type of liquid-cooling Nvidia\u2019s offering isn\u2019t necessarily the norm for data centers, it\u2019s not as out there as putting your servers in the ocean (though so far Microsoft\u2019s experiments with that have been shockingly successful<\/a>). Nvidia\u2019s explicitly marketing its liquid-cooled GPUs as being for \u201cmainstream\u201d servers, rather than as a bleeding-edge solution. <\/p>\n

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