“Our goal is to be the fastest path to AI Factory capacity with the best technology. AI builders shouldn't have to choose between cutting-edge infrastructure and rapid deployment. They need both. Our new liquid-cooled Lenovo and NVIDIA cluster proves what’s possible when innovation meets execution. Two weeks from hardware arrival to fully commissioned and operational. Our customers are already scaling their most advanced workloads on these liquid-cooled NVIDIA HGX B200 GPUs, with all the thermal performance benefits.”
To provide AI product and model builders with rapid access to latest-generation GPU capacity with advanced cooling, Corvex deployed an innovative liquid-to-air cooled GPU cluster built on Lenovo ThinkSystem servers with NVIDIA’s accelerated computing. Corvex commissioned the infrastructure in just two weeks after hardware arrival, avoiding the industry’s typical 7-12+ month data center upgrade timelines.
Customer Problem
AI product and model builders need immediate access to the latest liquid-cooled GPU technology for optimal performance, but traditional data center upgrades with advanced cooling take 7-12+ months—a timeline that’s unacceptable for fast-moving AI companies.
Lenovo Solution
Corvex deployed a Lenovo ThinkSystem SR675a V3 cluster accelerated by the latest-generation NVIDIA® HGX B200 GPUs, with innovative liquid-to-air cooling powered by Lenovo Neptune® Liquid Cooling technology.
Business Impact
The rapid deployment enabled Corvex’s customers to access latest-generation liquid-cooled computing capacity on their timeline, providing immediate competitive advantage with superior thermal performance for demanding AI training and inference workloads.
“We were able to deliver optimized performance on an extremely efficient schedule. Our customers got latest-generation NVIDIA B200 GPUs with superior thermal performance on their timeline.”
Seth Demsey, Co-Founder and Co-CEO, Corvex
Results
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