In its rush to lead the generative ML world, Redmond may have developed a datacenter drinking problem
, actual water consumption associated with running LLMs, like ChatGPT, depends on a variety of factors including the thermal management technologies used by the facility, where those models are being trained and run, and when those jobs are run.
For example, datacenters located in a colder climates are likely to consume less water and can take advantage of lower ambient temperatures, especially compared to those in hot, arid desert climes. According to the AP report, the Iowa datacenter where Microsoft and OpenAI trained GPT-4 only consumes water when the temperature is above 29.3 degrees Celsius.
Projects to reach that elusive"water positive" state typically involve funding projects to protect watersheds, restore wetlands, and improve infrastructure in water stressed regions. For example, in Chennai, India, where Microsoft operates a datacenter, the company worked with The Natural Conservancy to restore the wetlands around Lake Sembakkam.The Windows maker also says it's working on thermal management technologies to reduce the water consumption of its facilities.
Microsoft has also moved away from evaporative coolers at some of its most water challenged datacenters. This spring, they agreed toHow do the other cloud providers stack up? Microsoft isn't the only cloud provider grappling with water consumption. As Amazon Web Services and Google Cloud have steadily expanded their cloud empires, they've announced several efforts to curb their datacenter drinking problem.to becoming"water positive" by 2023, which is to say, they claim they'll return more water to communities than is consumed by their operations.AI adoption was making the situation more difficult.
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