Cooling guides
Liquid Cooling has 8 guides on liquid cooling for AI and high-density data centers, grouped by country.
General
- ASHRAE TC 9.9 Liquid Cooling Classes (W17-W45) Explained
Understand the ASHRAE Thermal Guidelines liquid cooling classes W17 through W45: supply temperature ranges, delta-T limits, and how to select the right class for your deployment.
- Direct-to-Chip vs Immersion vs Rear-Door Cooling Compared
Compare the three main liquid cooling approaches for AI and high-density data centers: direct-to-chip cold plates, single-phase and two-phase immersion, and rear-door heat exchangers.
- How to Size a Coolant Distribution Unit (CDU)
Step-by-step guide to sizing a CDU for direct-to-chip liquid cooling: heat load, flow rate, temperature rise, redundancy, and facility integration.
- Liquid Cooling Market Size and Forecast for AI Data Centers
Market data for data center liquid cooling: $8.3B in 2027, $22.56B by 2032 (22.1% CAGR). Segments by technology, coolant, data center type, workload, and geography.
- Questions to Ask a Liquid Cooling Vendor Before You Buy
A practical checklist for data center operators and MEP engineers evaluating liquid cooling vendors: technical specs, warranties, fluid qualification, integration, and commercial terms.
- Rack Density Trends for AI: From 30 kW to 150+ kW per Rack
Track how AI rack power densities have escalated from 30 kW to 150+ kW, driven by NVIDIA GB200 NVL72, AMD Helios, and hyperscale deployment data.
- Retrofit vs New Build: Liquid Cooling Deployment Strategies
Compare brownfield retrofit and greenfield new-build approaches for liquid cooling: costs, timelines, technical constraints, and decision framework.
- Water Use and PUE in Liquid-Cooled Data Centers
Understand Water Usage Effectiveness (WUE), Power Usage Effectiveness (PUE), and the trade-offs between water-free and evaporative cooling for AI data centers.
Published by Liquid Cooling. How we check each vendor.