Why Cooling Matters More Than Ever for NVIDIA B200 Deployments
As GPU performance continues to climb, cooling has become a critical factor in designing reliable, efficient AI infrastructure. With the arrival of the NVIDIA B200 and its significantly higher compute density, the gap between air-cooled and liquid-cooled deployments has never been more important to understand.
In our main article on the NVIDIA B200, we touched on how cooling directly affects energy consumption, rack density, performance stability, and total cost of ownership. This follow-up guide takes a deeper dive into the two dominant approaches – air cooling and liquid cooling – and explains how each performs when supporting high-density HGX B200 systems.
The side-by-side comparison below highlights the practical differences and shows why more organisations are turning to liquid cooling for next-generation AI clusters.
With so many choices around hardware, cooling, networking, and budget, getting the design right matters.
AlloComp guides you through the key decisions so your AI infrastructure is powerful, efficient, and ready to scale.
Cooling Options for NVIDIA B200
Keeping high-density GPU systems like the NVIDIA HGX B200 cool is one of the biggest engineering challenges in modern AI infrastructure — and the cooling method you choose has a major impact on performance, reliability, energy use, and long-term operating costs.
Air-cooled B200 systems still deliver excellent performance, but they require significantly more airflow and fan power at higher densities, which can increase operational costs over time.
The B200 supports advanced liquid cooling, which removes heat far more effectively than air cooling alone. This allows systems to run cooler, quieter, and much more efficiently.
In dense GPU deployments, liquid cooling can dramatically improve Power Usage Effectiveness (PUE), reducing total facility energy consumption and enabling higher rack densities without sacrificing performance.
Organisations aiming for maximum performance, lower power bills, and sustainability gains tend to see immediate benefits from liquid cooling.
Energy Consumption & Efficiency
Air Cooling
Air cooling remains the most common and well-established approach in data centres.
It’s highly effective for moderate-density racks and provides a straightforward, proven method of temperature control.
However, as rack densities rise, fan speeds and airflow requirements increase, which can reduce overall efficiency.
Liquid Cooling
Liquid cooling can reduce facility power consumption by around 18–27%, translating to approximately 10–15% total data centre energy savings.
It removes heat far more efficiently than air, freeing up power for compute rather than cooling overhead – a crucial advantage for B200 GPU clusters.
Power Usage Effectiveness (PUE)
Air Cooling
Typical PUE ranges from 1.4 to 1.6, rising as rack density increases and fan/chiller power ramps up.
Liquid Cooling
Liquid cooling can achieve PUE values near 1.1, cutting facility power use by up to 27% and total site power by around 15%.
Direct-to-chip liquid cooling keeps GPUs up to 35 °C cooler, allowing higher inlet temperatures and more efficient operation.
Thermal Performance & Scalability
Air Cooling
Reliable up to 15–20 kW per rack, and easy to deploy with existing facility infrastructure.
Liquid Cooling
Scales easily to 40 kW+ racks, maintains uniform temperatures, and eliminates hotspots – ideal for dense HGX B200 clusters that demand predictable, stable performance under full load.
Operational & Environmental Impact
Air Cooling
Air cooling is a mature, well-supported technology with predictable operation and maintenance needs, making it a strong baseline for most deployments.
Liquid Cooling
Liquid cooling builds on that foundation by reducing overall energy use, cooling water consumption (especially in closed-loop systems), and carbon emissions.
It also enables quieter operation and a smaller physical footprint, supporting sustainability goals in modern AI data centres.
Choosing the Right Cooling Strategy for Your AI Roadmap
Air cooling remains a strong, familiar starting point for many data centres, but as GPU power and density grow, liquid cooling offers clear advantages in performance, energy efficiency, and long-term sustainability. For NVIDIA B200 systems in particular, the thermal demands and scaling requirements often make liquid cooling the more future-ready option.
If you'd like to explore this topic further, or understand how cooling fits into your overall AI infrastructure strategy, you may want to revisit our main guide: “NVIDIA B200: Versatility To Power Every AI Workload” - where we break down performance, efficiency, networking, deployment models, and more.
AlloComp works with organisations at every stage – from assessing whether liquid cooling is the right fit, to designing advanced direct-to-chip cooling, heat reuse, and high-density rack layouts optimised for B200 clusters.
If you’re planning a B200 deployment, or upgrading existing infrastructure, we can help you choose and implement the right cooling strategy to support your long-term AI goals.
B200 Availability & Ordering
The NVIDIA B200 is now available to order through AlloComp
DGX B200 | HGX B200 | GB200 NVL72 | Multiple OEM | Air-Cooled | Liquid-Cooled | On-Prem | Colocation | Cloud | GPU-on-Demand
Due to global demand, availability varies by configuration - contact us for current lead times and allocation details.
