AI's computational demands drive cooling innovation
Data centers worldwide are feeling the heat (literally) as OpenAI and other AI providers push computational boundaries. Unisys' Vivek Swaminathan, director of products and solutions for Digital Workplace Solutions, explains why liquid cooling technology is becoming essential for AI-driven data centers.
Swaminathan breaks down the reality: OpenAI's advanced models are dramatically increasing energy demands, with data center electricity usage expected to surge 50% by 2027 and 165% by 2030. Traditional air-cooling systems can't keep pace with AI's thermal challenges.
But the numbers reveal a compelling solution: liquid cooling offers a 15% boost in total usage effectiveness while reducing overall data center power consumption. Swaminathan also addresses practical maintenance requirements that organizations should consider to optimize their investment in this critical infrastructure.
For companies adapting to AI advancements, discover how Unisys' field services and support solutions can help implement and maintain advanced cooling systems that extend GPU lifespan and realize AI's full potential.
