EdgeConneX will deliver over 30MW of high-density data center capacity in Chicago and Atlanta to support Lambda’s AI infrastructure buildout. The projects mark a major expansion of Lambda’s footprint as it scales toward its goal of deploying more than one million GPUs by the end of the decade.
In Chicago, EdgeConneX is constructing a 23MW build-to-density, single-tenant data center scheduled to be Ready for Service in 2026. The facility leverages the company’s Ingenuity design, capable of supporting rack densities exceeding 600kW. In Atlanta, Lambda already operates in the EdgeConneX ATL02 site, one of two existing air-cooled deployments. The new Chicago site will integrate hybrid cooling, combining direct-to-chip liquid systems with traditional air cooling to optimize efficiency for large-scale AI workloads.
Lambda is positioning its Superintelligence Cloud to serve AI labs, enterprises, and hyperscalers across training, inferencing, and large-scale production use cases. EdgeConneX’s high-density, AI-ready data center platform provides Lambda with the operational flexibility to accelerate time-to-market and sustain the performance required for future AI clusters.
- 30MW+ of AI-ready data center capacity across Chicago and Atlanta
- 23MW single-tenant build-to-density site in Chicago, RFS 2026
- Rack density support exceeding 600kW per rack
- Hybrid liquid-to-chip and air-cooling design for AI accelerators
- Expansion aligns with Lambda’s 2GW+ global roadmap toward 1M GPUs by 2030
“Our partnership with Lambda underscores our commitment to delivering cutting-edge infrastructure solutions tailored for the AI era. We empower the most demanding AI and HPC workloads with unmatched density and flexibility,” said Don MacNeil, Chief Revenue Officer for EdgeConneX.
🌐 Analysis: EdgeConneX is positioning itself as a key enabler of the AI infrastructure race, where cooling innovation and extreme rack density are differentiators. Lambda’s collaboration reflects its rapid scaling trajectory, following recent financings and deployments aimed at building gigawatt-scale AI factories. Competitors such as CoreWeave, Crusoe, and Vantage Data Centers are also investing heavily in liquid-cooled, AI-optimized campuses. The dual-city build reinforces the industry trend toward geographically distributed, high-density clusters that balance scale with latency and resiliency.
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