Liquid Cooling for Enterprise AI Deployments
Bring high-performance AI into your existing infrastructure
Enterprises are increasingly adopting AI workloads that require higher densities than traditional air cooling can support.
Key Challenges
Introducing liquid cooling without disruption
Enterprise data centers were typically designed for air cooling — adding CDU infrastructure must integrate with existing building systems, floor layouts, and operational practices without requiring a full facility overhaul.
Starting small and scaling deliberately
Most enterprises adopt liquid cooling incrementally — beginning with a single AI cluster or GPU zone and expanding over time — requiring a CDU solution that works well at small scale and grows without requiring infrastructure replacement.
Justifying liquid cooling investment
Enterprise decisions on liquid cooling must demonstrate clear ROI — balancing upfront infrastructure costs against energy savings, improved AI compute performance, and long-term operational efficiency gains.
How LiquidStack Helps
Low-complexity entry into liquid cooling
The CDU-1MW is designed to simplify the move to liquid cooling — with a compact form factor, straightforward integration, and quick-ship availability that reduces the time and resources required to get your first AI deployment live.
Engineered for existing enterprise facilities
LiquidStack CDUs are compatible with standard facility water systems and integrate into existing data center environments without requiring significant structural changes — reducing retrofit risk and capital exposure.
Coexistence with existing air cooling
Direct-to-chip liquid cooling works alongside air-based systems — allowing enterprises to liquid-cool high-density AI racks while maintaining existing air infrastructure for lower-density workloads during a phased transition.
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
