Advanced Thermal Management
Maximizing AI Performance Through Precision Cooling
AI systems, especially those running deep learning tasks, create lots of heat. Our cooling systems help AI clusters work better by quickly removing this heat. This stops performance slowdowns, cuts energy use, and helps your AI models train and run faster.
The AI Cooling Challenge
Modern AI hardware faces major cooling problems:
- High Power Use: AI servers with multiple GPUs can use 50-100kW per rack, far more than old cooling systems can handle
- Hot Chips: AI chips like GPUs can make more than 1kW of heat all the time and 2.5kW at peak
- Performance Problems: When chips get too hot, they slow down, which hurts AI training time
- Space Limits: Many data centers don’t have the power and cooling setup for AI workloads
- Green Concerns: AI systems can use lots of water and power, making it hard to meet green goals
As more companies use AI, cooling must keep up with these needs. Liquid cooling offers the best way to manage heat for next-gen AI systems.
Cooling Solutions for AI
Triton Thermal offers cooling systems built for AI computing needs:
Direct Liquid-to-Chip Cooling
Our direct-to-chip solutions cool GPUs and chips directly:
- Cold plates with tiny channels as small as 27µ for best heat removal
- Targeted cooling for servers packed with many GPUs
- Works with the latest NVIDIA, AMD, and other AI chips
- Stops GPUs from slowing down due to heat
- Adapts to different AI server designs
Rear Door Heat Exchangers
Rear door heat exchangers offer an easy path for AI cooling:
- Can handle up to 80kW of heat per rack
- Easy to add to your current AI servers
- Works with standard racks from major brands
- Cools mixed systems with both CPUs and GPUs
- Quick to install in existing data centers
Immersion Cooling for Highest AI Density
For extreme AI needs, immersion cooling delivers best results:
- Total cooling for the most demanding AI setups
- Removes all heat limits for AI chip performance
- Supports very dense AI clusters over 100kW per rack
- It runs silent with no fans, which is great for edge AI
- Very energy efficient with PUE near 1.05-1.07
Supporting Infrastructure
AI cooling needs specialized equipment:
- Cooling Distribution Units (CDUs) built for AI heat loads
- Smart systems to watch temperature and flow
- Backup systems to keep critical AI running
- Analytics to improve performance and predict maintenance needs
- Works with your building’s cooling systems
How We Install AI Cooling
Triton Thermal follows a clear step-by-step approach for AI cooling projects:
- Check: We look at your AI workloads, hardware, and facility to understand your needs
- Design: We create a cooling system built for your specific AI hardware
- Plan: We make a detailed roadmap to install with minimal disruption
- Install: Our experts set up your cooling system with careful quality testing
- Test: We confirm the cooling works at peak efficiency and keeps temperatures stable
- Improve: We fine-tune the system to keep your AI running at its best
The Triton Thermal Advantage for AI Implementation
Our team looks at every part of your cooling needs, from single GPU heat issues to building-wide cooling plans, to create the most efficient and reliable solutions for your AI systems. Reach out today and speak with our AI cooling experts to discuss your AI cooling needs.
- Custom Design: We build solutions made for your specific AI hardware and facility
- Best Components: We choose the best parts from leading makers to ensure top results
- Full Service: We handle everything from the first assessment through installation and ongoing tuning
Artificial Intelligence Cooling FAQ
How does liquid cooling help AI training run faster?
Liquid cooling fixes the main problem in AI training: GPUs getting too hot. Modern AI chips make over 1kW of heat all the time and up to 2.5kW at peak, which is too much for air cooling. When these chips get hot, they slow down to cool off, which makes training take longer. Liquid cooling keeps chips cool so they can run at full speed all the time. This can cut training time by 20-30% for big models while letting you pack more GPUs in each rack.
What kinds of AI systems need liquid cooling the most?
Any AI system with lots of GPUs will benefit, especially:
- Large language model (LLM) training systems
- Deep learning systems
- Computer vision systems
- Natural language processing setups
- AI that creates images, text, or video
- Self-driving car training systems
- Financial AI systems
The benefits are greatest when you have multiple GPUs in each server or when racks use more than 25kW of power.
Can you add liquid cooling to AI systems that are already running?
Yes. Triton Thermal helps add liquid cooling to working AI systems. For quick installation with little disruption, rear door heat exchangers can be added without major changes. Direct-to-chip solutions can be installed during planned maintenance. Our team creates step-by-step plans to keep your critical AI workloads running during the upgrade, ensuring your business doesn’t stop while we improve your cooling.
How does liquid cooling affect the total cost of running AI infrastructure?
While liquid cooling costs more upfront than air cooling, the financial benefits for AI workloads are clear:
- Energy use cut by 30-40% compared to air cooling
- More computing power in the same space
- Longer hardware life by keeping temperatures ideal
- Faster model training and inference
- There is less need for building cooling equipment
For AI workloads, you typically recover the cost within 2-3 years through lower operating costs and better computing efficiency.
How does liquid cooling make AI more environmentally friendly?
AI systems can use lots of resources, but liquid cooling greatly improves environmental impact:
- It uses up to 40% less energy than air-cooled systems
- Can cut water use by up to 90% for data centers
- Lowers carbon emissions through better energy efficiency
- Allows waste heat to be captured and reused
- Improves Power Usage Effectiveness (PUE) to near 1.05-1.1
- Extends hardware life, reducing electronic waste