Key Takeaways

  • BladeRoom will be supporting Kais‑AIR on Stand 88 at DCD Connect New York 2026, showcasing AI ready infrastructure for high‑density compute.
  • Visitors can explore advanced liquid coolingLiquid Cooling is a thermal management strategy where a liquid coolant absorbs heat from servers and IT equipment, efficiently dissipating it through heat exchangers or other mechanisms. It is particularly effective for high-density workloads and energy-intensive applications. Li...Learn more for data centers alongside efficient direct and indirect cooling systems.
  • The BladeRoom–Kais-AIR partnership delivers fully integrated, scalable modular data center cooling solutions for next‑generation workloads.
  • FactoryFirst modular construction ensures pre‑tested, low‑risk cooling systems with faster, more predictable deployment.
  • BladeRoom’s ultra‑efficient cooling technologies deliver leading sustainability performance with significantly reduced power and water use.

Find BladeRoom at DCD Connect New York 2026

BladeRoom is excited to support our long‑standing US partner Kais‑AIR on Stand 88 at DCD Connect New York 2026, taking place on 23rd and 24th March, where global leaders in digital infrastructure will explore the technologies shaping tomorrow’s data centers. As a specialist in modular data centre cooling solutions, Kais-AIR will be showcasing our expertise in liquid coolingLiquid Cooling is a thermal management strategy where a liquid coolant absorbs heat from servers and IT equipment, efficiently dissipating it through heat exchangers or other mechanisms. It is particularly effective for high-density workloads and energy-intensive applications. Li...Learn more for data centers - including advanced direct and indirect cooling - designed for the next generation of high‑density compute.

Our presence at DCD Connect New York 2026 reinforces our commitment to delivering high‑efficiency thermal management and scalable, AIArtificial Intelligence (AI) involves the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and natural language understanding. AI technologies include machine learning (ML), deep l...Learn more ready infrastructure that meets the demands of today’s rapidly evolving digital landscape.

Register for your free ticket and arrange a meeting to speak with us at the event.

What You'll See on Stand 88

Visitors to the Kais-AIR stand will be able to explore our integrated approach to direct and indirect cooling, thermal optimisation, and modular, factory‑engineered deployment.

Liquid Cooling for Data Centers

Optimized for AIArtificial Intelligence (AI) involves the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and natural language understanding. AI technologies include machine learning (ML), deep l...Learn more and advanced compute environments requiring dense rack configurations.

Direct Cooling for Data Centers

Precision cooling delivered close to heat sources to maximise efficiency and uptime.

InDirect Cooling for Data Centers

Flexible, scalable cooling technologies that suit a wide range of thermal and environmental conditions.

Together, these solutions form part of BladeRoom’s wider portfolio of modular data center cooling solutions, engineered to reduce operational expenditure while increasing resilience and sustainability.

speak with bladeroom at dcd connect New York 2026

Why Our BladeRoom Kais‑AIR Partnership Matters

Our partnership with Kais‑AIR brings together two leaders in modular, high‑performance digital infrastructure. Through the BladeRoom Kais‑AIR partnership, we combine BladeRoom’s Factory‑First modular delivery model with Kais‑AIR’s world‑class HVACHVAC systems provide heating, ventilation, and air conditioning to maintain suitable environmental conditions in buildings, including data centres. In data centres, HVAC systems ensure the facility stays at optimal temperatures and humidity levels to prevent equipment failure and...Learn more engineering to create integrated cooling environments designed to support the next generation of compute.

This collaboration enables:

A Unified Cooling Strategy Designed for High‑Density AI Cooling

The rapid rise of GPU‑intensive and AIArtificial Intelligence (AI) involves the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and natural language understanding. AI technologies include machine learning (ML), deep l...Learn more workloads demands reliable, thermally efficient solutions capable of maintaining stable operation under extreme density. By aligning our modular designModular design in data centres refers to a construction approach where individual components or modules, such as cooling systems or power units, are pre-engineered, fabricated off-site, and assembled on-site. This method ensures scalability, rapid deployment, and operational flex...Learn more platforms with Kais‑AIR’s HVACHVAC systems provide heating, ventilation, and air conditioning to maintain suitable environmental conditions in buildings, including data centres. In data centres, HVAC systems ensure the facility stays at optimal temperatures and humidity levels to prevent equipment failure and...Learn more expertise, we deliver systems that:

  • Maintain exceptional performance under high‑density AI cooling requirements
  • Improve thermal efficiency through optimized airflow and coolant distribution
  • Support future‑proof scalability within modular architectures

Factory‑First Delivery with Cooling Built In

Our joint approach ensures every system is manufactured, tested, and proven before arriving on site, reducing risk and accelerating deployment. For operators, this translates to:

  • Reduced installation complexity vs. traditional builds
  • Predictable, validated cooling performance
  • Faster time‑to‑live deployment

A More Sustainable Path to Cooling

Together, we’re enabling operators to meet rising environmental expectations through:

  • Industry-leading PUE and WUE, saving power and water compared to other data centers
  • Lower energy consumption via intelligent cooling integration
  • Reduced water and refrigerant usage
  • Long‑term operational efficiency within modular design

The Global Average PUEPower Utilization Effectiveness (PUE) is the primary metric for measuring the energy efficiency of a data centre. Calculated as the ratio of total facility energy to IT equipment energy, it provides insights into how much power is used for non-IT functions, such as cooling and po...Learn more is 1.55, whereas a BladeRoom operates at just 1.04. Even more impressively, the Climate Neutral Data Centre Pact 2025 set a highly efficient target WUEWater Usage Effectiveness (WUE) is a sustainability metric for data centres that measures the amount of water used annually relative to the IT energy consumption. It is calculated by dividing the total water consumption (liters) by the IT equipment energy usage (kWh). A low WUE i...Learn more of 0.4 L/kWh, however, BladeRoom achieves a WUEWater Usage Effectiveness (WUE) is a sustainability metric for data centres that measures the amount of water used annually relative to the IT energy consumption. It is calculated by dividing the total water consumption (liters) by the IT equipment energy usage (kWh). A low WUE i...Learn more of 0.0015 L/kWh.

While average data centers consume the water equivalent to multiple pools each year, a BladeRoom site uses so little water it wouldn’t even fill one fifth of a single domestic pool in an entire year.1

Why Visit BladeRoom at DCD Connect New York 2026?

If you're planning future digital infrastructure investments, or evaluating cooling strategies and need AIArtificial Intelligence (AI) involves the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and natural language understanding. AI technologies include machine learning (ML), deep l...Learn more ready infrastructure, visit Kais-AIR’s stand (#88) to gain:

  • Access to BladeRoom and Kais‑AIR specialists
  • Real examples of liquid cooling for data centers in modular deployments
  • Insights into how Factory‑First construction de‑risks projects
  • A clear understanding of how integrated direct and indirect cooling supports long‑term performance

Register & Book a Meeting

Secure your place at DCD Connect New York 2026 and meet with our team to discuss how BladeRoom and Kais‑AIR are delivering the next generation of cooling and modular digital infrastructure.

We look forward to seeing you in New York.

BladeRoom AI ready infrastructure

  1. Based on a continuous 1 MW IT load (8,760,000 kWh/year) at a WUE of 0.0015 L/kWh, compared against a typical domestic swimming pool of ~80,000 litres.
      ↩︎