Super Micro Computer has announced that Lambda has deployed a wide array of Supermicro GPU-optimized servers, including systems based on NVIDIA Blackwell architecture, to expand Lambda’s artificial intelligence (AI) infrastructure. The deployment is part of an initiative launched in June 2024 at the Cologix COL4 Scalelogix data center in Columbus, Ohio, giving enterprise customers in the Midwest region access to advanced AI compute resources.
According to Supermicro, Lambda’s selection of servers includes the SYS-A21GE-NBRT with NVIDIA HGX B200, SYS-821GE with NVIDIA HGX H200, and SYS-221HE-TNR, all featuring Intel Xeon Scalable processors. The setup also integrates Supermicro’s AI Supercluster with NVIDIA GB200 and GB300 NVL72 racks, designed to support large-scale training and inference workflows in AI data centers.
Supermicro reports that its advanced liquid cooling technology reduces power and cooling costs, supporting Lambda’s requirements for energy efficiency and rapid deployment. The collaboration aims to enable Lambda to deploy next-generation AI accelerators at scale, with specific applications targeting data center environments and AI factories serving enterprises and hyperscale operators.
A representative from Lambda stated, “Lambda is on a mission to accelerate the path to Superintelligence, building gigawatt-scale AI factories for training and inference for the world’s top AI labs, enterprises and hyperscalers,” said Ken Patchett, VP Data Center Infrastructure, Lambda. “As we strive to create infinite-scale compute for our customers, the depth of Supermicro’s server portfolio is a valuable asset for meeting our present and future needs.”
The collaboration also leverages Cologix’s interconnected data center footprint, intended to support low-latency, high-capacity AI workloads across Columbus and the greater Midwest. Supermicro, Lambda, and Cologix are targeting rapid AI development for sectors such as healthcare, finance, manufacturing, retail, and logistics, with the intention of enabling production-ready AI solutions that are compatible with hyperscaler environments.
Source: Super Micro Computer
