# LiquidStack Releases GigaModular CDU for 14 MW Deployments > Source: > Published: 2026-05-28 15:36:45.623832+00:00 Photo: storagereview.com · rights & takedowns LiquidStack announced the commercial availability of its GigaModular™ coolant distribution unit (CDU) platform, validated to scale to 14 MW for high-density AI and HPC sites, per the company press release (Globe Newswire). The platform uses a modular, pay-as-you-grow architecture designed to meet NVIDIA Vera Rubin specifications, the company says (LiquidStack/Globe Newswire; StorageReview). LiquidStack and Trane Technologies report the GigaModular CDU completed multi-module integration and full-load testing and achieved ETL certification for validated performance at multi-megawatt scale (LiquidStack; EEJournal). Joe Capes, Vice President at Trane Technologies and General Manager of LiquidStack, is quoted on the platform's phased deployment and centralized controls simplifying operations (LiquidStack press release). Early customer orders were cited by the company as evidence of market demand (LiquidStack/Globe Newswire). What happened LiquidStack announced the commercial availability of the GigaModular™ CDU platform, with validated capacity now expanded to 14 MW , and stated the design aligns with NVIDIA Vera Rubin specifications (LiquidStack press release; StorageReview). The company and partner reporting indicate the platform completed extensive multi-module system integration and full-load testing and achieved ETL certification for deployments up to 14 MW (LiquidStack; EEJournal). The announcement describes a modular, pay-as-you-grow architecture and centralized system-level controls; the press release quotes Joe Capes, Vice President at Trane Technologies and General Manager of LiquidStack, on those operational benefits (LiquidStack/Globe Newswire). Technical details (reported) Per LiquidStack and partner materials, the GigaModular CDU aggregates cooling capacity into coordinated modules rather than many independent CDU units, supports a range of application temperature profiles for merchant and hyperscale silicon, and offers flexible fluid distribution to fit different facility layouts (LiquidStack press release; Trane product page). The vendor describes multi-megawatt building blocks intended for phased deployments so operators can expand cooling capacity incrementally as compute grows (LiquidStack; StorageReview). The platform is integrated with Trane Technologies broader thermal management and lifecycle support offerings, according to the announcement (LiquidStack/Trane). Editorial analysis Industry context: Data center cooling for modern AI clusters increasingly trades fixed, oversized infrastructure for modular, scalable systems because rack-level power density growth makes phased capacity expansion operationally and financially attractive. Observed patterns in similar transitions: vendors offering multi-megawatt, modular cooling tend to emphasize centralized controls and serviceability to reduce OPEX and integration complexity across large deployments. Context and significance For practitioners: Validating a CDU architecture to 14 MW and to a named hyperscale platform specification like NVIDIA Vera Rubin is significant because it reduces an integration unknown when planning high-density GPU pods or custom silicon rooms. Industry observers have noted rising demand for liquid cooling as GPU power density increases; reported early customer orders cited by LiquidStack suggest commercial traction for multi-MW modular CDUs (LiquidStack; Economic Times). What to watch Indicators to follow include independent field deployments and published PUE/energy-efficiency data from operators using GigaModular CDUs; interoperability reports with specific rack-level cold plates or rear-door heat exchangers; and whether more data center OEMs or hyperscalers publish integration guidance referencing Vera Rubin-class specifications. Also monitor ETL or other third-party test reports that detail safety, leak management, and serviceability at scale. Scoring Rationale Validating a modular CDU to **14 MW** for Vera Rubin-class deployments is a notable infrastructure milestone for AI-scale data centers. It matters to practitioners planning high-density GPU clusters and hyperscale operators evaluating liquid-cooling options. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. Try 250 free problems