Liquid Cooling for Hyperscale and Cloud Providers
Deliver performance and efficiency at global scale
Hyperscale operators require standardized, scalable cooling infrastructure that can be deployed rapidly across multiple locations while maintaining operational efficiency.
Key Challenges
Standardization across multi-site
Hyperscale operators deploy across dozens of facilities globally — cooling infrastructure must be standardized enough to replicate at speed while remaining adaptable to local facility constraints.
Scaling infrastructure CapEx efficiency
As deployments grow into hundreds of megawatts, infrastructure decisions that optimize cooling efficiency and minimize footprint have a compounding effect on total cost of ownership.
Supporting next-gen AI workloads
Each new generation of AI accelerators increases power density requirements — hyperscale cooling infrastructure must be designed to accommodate current and future GPU platforms without costly redesign.
How LiquidStack Helps
Repeatable deployment at global scale
GigaModular’s standardized architecture can be replicated across facilities — reducing design time, integration risk, and operational complexity as you expand into new markets and regions.
Optimized PUE at hyperscale density
Centralized CDU architecture delivers high cooling efficiency even across very large deployments — supporting chillerless operation at 45°C return water temperatures where facility conditions allow.
Validated for next-generation GPU platforms
LiquidStack CDU solutions are designed to support current and emerging GPU architectures — giving hyperscale operators confidence that their cooling infrastructure will remain capable as compute platforms evolve.
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
