Supermicro launches first liquid-cooled server
As rack density soars, data center cooling has become a growing challenge for the industry. To meet the growing demand for workloads such as artificial intelligence, Supermicro launches the industry's first NVIDIA HGX H100 8- and 4-GPU H100 liquid-cooled servers, reducing data center power costs by 40%. Liquid-cooled large-scale AI training infrastructure is a monolithic rack Integrated solutions can speed up deployment, improve performance, and reduce total environmental costs.
Supermicro, Inc, a provider of total IT solutions for cloud computing, AI/ML, storage and 5G/edge, continues to expand its data center offerings with the liquid-cooled NVIDIA HGX H100 rack-mount solution. Advanced liquid cooling technology, developed entirely by Supermicro, can shorten the delivery cycle of the entire equipment, improve performance, reduce operating expenses, and significantly reduce data center power utilization. Data centers using Supermicro liquid cooling solutions can save an estimated 40% in electricity compared to air-cooled data centers. Additionally, direct cooling costs can be reduced by 86% compared to existing data centers.
Charles Liang, President and CEO of Supermicro, said: "Supermicro continues to lead the industry in supporting global artificial intelligence workloads and the demanding needs of the modern data center. Our innovative GPU servers, using our liquid cooling technology, significantly reduce data center workloads. Power requirements. Optimizing TCO and total cost of environment (TCE) based on the power required to enable today's rapidly evolving large-scale AI models is critical for data center operators. We have experience designing and building entire high-performance server racks Proven expertise. Designing these GPU systems from the ground up for rack scale, liquid-cooled for ultra-high performance and efficiency, simplifying the deployment process, we are able to meet customer requirements with short lead times.
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FAQ
1. Q: Are you a trading company or manufacturer?
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A: For prototype samples, the lead time is 1-2 weeks, for mass production, the lead time is 4-6 weeks.
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