_{Advanced Thermal Management}

Better Cooling for Huge Computing Centers

Big tech companies need better cooling for their massive data centers. Triton Thermal builds liquid cooling that works at their scale. Our cooling uses less power than air systems while helping them meet green goals and cut costs.

Big Cooling Problems for Hyperscalers

Today’s big tech companies face tough cooling issues:

Too Much Heat: New AI chips make 50-100kW of heat per rack – air cooling can’t handle this
Many Locations: Need the same cooling to work in data centers around the world
Green Goals: Must use less power and water to meet climate targets
Power Limits: Grid restrictions slow growth and raise costs
AI Growth: New AI systems create more heat than ever before

Studies show big data centers running AI now see heat levels jump from 8-15kW to 50-100kW per rack. Cooling uses 35-40% of their total energy. At these high heat levels, they must use liquid cooling.

How We Cool Hyperscale Data Centers

Triton Thermal builds cooling systems for the world’s biggest computing centers:

Direct Chip Cooling

Our direct chip cooling puts liquid right where it’s needed:

Cools hot AI chips directly
Works with all main chip brands like NVIDIA and AMD
Easy to use the same way in all locations
Cuts energy use by 30-40%
Can reuse heat to warm buildings

Door Cooling Systems

Our door cooling systems handle extreme heat:

Cool racks using over 80kW
Easy to add to different data centers
Won’t disrupt daily operations
Stop hot spots from forming
Good first step when moving from air to liquid cooling

Immersion Cooling

For the most extreme needs, immersion cooling offers:

Handles the densest setups over 100kW per rack
Best energy scores with PUE as low as 1.05
No fans needed
Less noise and longer hardware life
Most computing power in the least space

Support Systems

Big data centers need robust support systems:

Cooling units built to never fail
Backup pumps for non-stop operation
Smart monitoring to fix issues before they happen
Heat removal that works in any climate
Works with building control systems

_{Our Process}

How We Work With Hyperscalers

We follow a clear plan when cooling the world’s biggest data centers

Look

We check your setup, workloads, and go

Plan

We create cooling designs that work on all your sites

Test

We run small tests to make sure everything works

Roll Out

We add cooling to many sites with quality checks

Tune

We keep making the system better over time

Train

We teach your teams how to run the systems

How We Work

The Triton Thermal Advantagefor Hyperscaler Companies

Our team studies your cooling needs to create systems that work in all your sites worldwide while fitting local needs. Talk to our experts about cooling your global data centers.

What To Expect

No Bias: We pick what works best, not what makes us more money
Global Know-How: We know how to make systems work the same way everywhere
Full Help: We support you from first idea through daily operation

Questions About Hyperscale Cooling

How does liquid cooling help meet green goals?

Liquid cooling cuts energy use by 30-40% compared to air cooling. This makes a big dent in carbon footprint at scale. Studies show cooling takes up about 35-40% of a tech giant’s total energy use. Liquid cooling also uses far less water by cutting or removing evaporative cooling. Normal cooling in big data centers can use over 50 million gallons of water each year. Closed-loop liquid systems help meet green goals while still growing computing power.

How do big companies switch from air to liquid cooling?

They take it step by step. Most start with new sites built for liquid cooling while adding it only in hot areas at old sites. For example, Meta stopped some data center projects to redesign them for AI workloads and liquid cooling. Big tech firms create standard cooling designs they can use on all their sites to keep operations simple. We help them build these standard designs and plans that fit their needs and growth goals.

What cooling works best for AI sites?

For new sites focused on AI, mixing direct chip cooling and immersion cooling works best. Direct chip cooling is great for new AI chips like NVIDIA’s Grace Hopper and Blackwell GPUs, which make much more heat than older chips. These systems often need about 50kW per rack or more. For extreme needs, immersion cooling works best, cutting cooling energy by up to 95%. Most big firms use a mix of cooling types, picking the best one for each workload and site.

How do you handle cooling systems in so many countries?

We focus on making systems that work the same way everywhere while fitting local needs. We create standard cooling designs that work in many sites while adjusting for regional climate, rules, and power systems. Our team writes clear steps and guides so sites in any country can be set up the same way. We train local teams and check quality to keep standards high worldwide. By mixing standard designs with local know-how, we help big firms get the same cooling performance on all their sites.

What benefits does liquid cooling offer beyond saving energy?

Liquid cooling gives many benefits at scale. It’s more reliable since it has fewer moving parts than air cooling, with fewer points that can break. This means less downtime and lower repair costs across thousands of servers. It also lets you pack more computing in the same space – key when building new sites faces growing hurdles with power, permits, and building time. Liquid cooling also runs more quietly and keeps temps more steady, making hardware last longer and work more predictably. These benefits make liquid cooling vital for big operations running AI and high-end computing.

Hyperscaler Companies

Better Cooling for Huge Computing Centers

Big Cooling Problems for Hyperscalers