Valves for AI Data Center

Why AI Data Center need Valves?

With the explosive growth of artificial intelligence (AI) technology, the computing power density of AI data centers has significantly increased, and the power consumption of single chips and single cabinets has also risen substantially. Traditional air cooling has become insufficient to meet the heat dissipation requirements, and data centers are undergoing a transition to the "water chiller system" and "liquid cooling technology" cooling paradigms.

Against this backdrop, valves, as the "joints" in the cooling system, play a decisive role in flow control, system isolation, and operational safety.

Core Valve Types and Application Scenarios

The following is a detailed analysis of the commonly used valve types in AI data centers:

1. Butterfly Valves

• Application Scenario: Butterfly valves are mainly used in the main water pipes of the cooling system, connection pipes of cooling towers, and pump station systems, etc., at key positions.
• Core Advantages: Have high cost-effectiveness in large diameters (such as DN200 and above) pipelines. Their compact structure, light weight, and rapid opening and closing enable them to meet the requirements of the cooling system for flow control and rapid response.
• Technical Evolution: The industry is gradually shifting from traditional plate connection to seat-style connection, which is crucial for removing downstream pipes without emptying the entire system and is essential for critical facilities operating 24/7.

2. Gate Valves

• Application Scenario: Gate valves are mainly used at system isolation positions, such as equipment maintenance sections, partitioned pipelines, and some underground pipelines.
• Core Advantages: Adopt a full diameter design, with minimal fluid resistance, helping to reduce system pressure loss. Their stable sealing performance ensures reliable shut-off in locations with low operating frequency but extremely high sealing reliability requirements (such as during partial shutdown maintenance), providing reliable protection for critical facilities.

3. Check Valves

• Application Scenario: Check valves are usually installed at pump outlets and return water pipes, etc., at key positions.
• Core Advantages: Automatically open and close based on the flow of the medium, preventing the reverse flow of cooling media and ensuring the stability of the flow direction in the pipeline. At the same time, it can effectively alleviate water hammer phenomena and reduce the risk of damage to pump groups and related equipment.

4. Pressure Independent Control Valves (PICV) and Intelligent Regulating Valves

• Application Scenario: Used for precise thermal environment control, such as flow balance in high-density AI server cabinets, AHU/CRAH (computer room air conditioning units), etc.
• Core Advantages: AI workloads generate rapid thermal fluctuations. PICV and intelligent regulating valves have low lag and high precision regulation characteristics. They usually integrate pressure differential sensors and support digital communication protocols such as Modbus and BACnet, enabling control based on digital twins and predictive maintenance.

5. Y-Strainers

• Application Scenario: Y-strainers are installed at the inlet end of sensitive equipment such as pressure reducing valves, relief valves, water chillers, or heat exchangers.
• Core Advantages: Used to remove debris, scale, and other impurities from the cooling medium, protecting core equipment from damage. In high-speed flowing cooling systems, the sturdy flange Y-strainers can operate stably without sacrificing pressure.

6. Ball Valves

• Application Scenario: Ball Valves are often used in liquid cooling secondary distribution circuits (such as cabinet-level flow control, CDU bypass valves) that require quick cutting or precise regulation.
• Core Advantages: Low fluid resistance, rapid opening and closing, and wear resistance, making them suitable for compact, high-cycle conditions in liquid cooling systems.

Key Considerations for Valve Selection in AI Data Centers

Due to the extremely high requirements for the stability of the cooling system in AI data centers, valve selection must comprehensively evaluate the following dimensions: Sealing performance and reliability: The cooling system needs to operate continuously for a long period of time, and the valves must have an extremely low leakage rate (reaching the VI-level sealing standard) to reduce the risk of system downtime.

• Material compatibility: The valve materials must be perfectly matched with the cooling medium. For example, in a deionized water system, 304/316 stainless steel valve bodies should be used in combination with EPDM seals; while in an insulated fluorine-containing liquid system, 316 stainless steel or nickel-plated carbon steel valve bodies should be used in combination with fluorine rubber seals, and strict compatibility immersion tests must be conducted.
• Intelligence and automation level: With the improvement of automation levels, valves need to be compatible with electric or pneumatic actuators, support 0-10V, 4-20mA analog signals and various digital communication protocols to meet the needs of remote control and precise regulation.
• Corrosion resistance: For the common humid corrosive environment in mechanical rooms and cooling towers, the main valves usually require anti-corrosion treatments such as epoxy fusion coating to extend their service life.

Overall, as AI clusters evolve towards higher-density architectures such as direct chip liquid cooling, data centers' demand for high-precision, fast-response and highly automated valve systems is surging, and the usage of valves and the value per watt have both experienced significant structural growth.

Bosseal Valves is professional valve manufacturer for AI Data Center valves. For any technical or commercial support, please consider our teams at sales@bossealvalves.com.