In Chicago, EdgeConnex and Lambda will develop a 23 MW single-tenant facility scheduled to be prepared for service in 2026
In sum – what to know:
30MW+ AI capability deliberate – EdgeConneX and Lambda will increase knowledge middle infrastructure in Chicago and Atlanta, with a 23 MW high-density facility in Chicago due in 2026.
Hybrid cooling for dense workloads – Services will mix liquid-to-the-chip and air cooling to help the intense calls for of AI coaching, inference, and HPC.
Scaling towards million-GPU goal – Lambda goals to deploy a couple of million GPUs by 2030, positioning the brand new websites as a part of its long-term AI Manufacturing facility imaginative and prescient.
EdgeConneX is collaborating with Lambda to ship greater than 30 megawatts (MW) of AI-focused knowledge middle capability throughout Chicago and Atlanta, the latter mentioned in a launch.
The challenge is designed to help superior synthetic intelligence and cloud workloads with high-density environments.
In Chicago, the businesses will develop a 23 MW single-tenant facility scheduled to be prepared for service in 2026. The location will incorporate hybrid cooling applied sciences, combining liquid-to-the-chip direct cooling with air cooling, in an effort to meet the calls for of power-intensive AI coaching and inference. In parallel, EdgeConneX continues to function two air-cooled services serving Lambda in Atlanta (ATL02) and Chicago.
Lambda, which offers cloud infrastructure for synthetic intelligence analysis and enterprise functions, goals to scale towards a multi-gigawatt AI platform with a goal of deploying greater than one million GPUs by the top of the last decade. The collaboration with EdgeConneX is meant to speed up this growth by integrating superior knowledge middle design with Lambda’s AI infrastructure.
In the meantime, the Chicago deployment will make the most of EdgeConneX’s Ingenuity platform, a next-generation knowledge middle mannequin engineered for high-performance computing (HPC) and AI functions. Ingenuity helps rack densities exceeding 600kW, providing scalability for workloads that require vital computing energy.
“Our partnership with Lambda underscores our dedication to delivering cutting-edge infrastructure options tailor-made for the AI period. We empower probably the most demanding AI and HPC workloads with unmatched density and suppleness with Ingenuity’s next-generation AI-ready knowledge middle options and our liquid cooling capabilities. This answer allows Lambda to guide in AI innovation and advance the way forward for AI-driven applied sciences for its cloud and hyperscale prospects,” mentioned Don MacNeil, chief income officer at EdgeConneX.
“Our mission at Lambda is to offer future-ready, scalable AI infrastructure that meets the calls for of gigawatt-scale AI Factories for coaching and inferencing, whereas pushing the boundaries of deployment velocity. By partnering with EdgeConneX in a number of areas, we mix cutting-edge knowledge middle know-how with our AI architectures, making certain unmatched speed-to-market and evolutivity for our prospects,” mentioned Ken Patchett, VP of knowledge middle infrastructure at Lambda.
