Liquid Cooling for AI Factories
Built for ultra-high-density AI infrastructure at scale
AI factories are designed to deliver massive compute capacity for training and inference. These environments demand liquid cooling solutions that can support extreme densities while enabling rapid, repeatable deployment.
Key Challenges
Extreme rack density
AI factory environments routinely exceed 120 kW per rack, pushing traditional cooling approaches beyond their design limits and requiring purpose-built liquid cooling infrastructure.
Deployment velocity
AI factories must bring new compute capacity online at speed — cooling infrastructure that requires lengthy custom engineering cycles creates a critical bottleneck.
Efficiency at scale
As AI factory deployments grow into multi-megawatt environments, maintaining consistent cooling efficiency across the entire installation becomes a significant operational challenge.
How LiquidStack Helps
Direct-to-chip cooling at extreme density
LiquidStack CDUs deliver high-capacity liquid cooling directly to next-generation GPU platforms, maintaining stable thermal performance even at rack densities exceeding 120 kW.
Factory-scale repeatability
Modular CDU architecture enables rapid, repeatable deployment across AI factory builds — adding cooling capacity in phases aligned with compute rollout, without redesign or infrastructure disruption.
Validated in production AI environments
LiquidStack solutions are already deployed in large-scale AI infrastructure, with third-party validated performance and growing deployments across leading AI operators.
Recommended Solutions
CDU-1MW
Rapid deployment for high-density data center AI workloads
- Quick-ship availability with minimal integration complexity — live in days, not months
- Supports rack densities up to 1MW per row, compatible with next-generation GPU platforms
- In-row and perimeter configurations for new builds and retrofit environments
- Backed by third-party validated performance and global service through Trane Technologies
Gigamodular CDU
Centralized liquid cooling for large-scale AI workloads
- Scales from initial deployment to multi-megawatt capacity without infrastructure redesign
- Centralized control architecture with dual-redundant communications and N+1/N+2 redundancy
- Supports 45°C return water for chillerless operation — optimised for hyperscale efficiency
- Designed for AI factory and hyperscale environments, including NVIDIA Vera Rubin platforms
