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Tubed Cold Plates: Balancing Thermal Performance, Reliability, and Cost


Tubed cold plates provide a reliable, cost-effective liquid cooling solution when air cooling can no longer dissipate the required heat load. They typically consist of an aluminum plate with embedded copper or stainless-steel tubing. Heat-generating electronic components are mounted directly to the plate, allowing heat to conduct into the tubing where a circulating coolant—typically water or a water-glycol mixture—absorbs it. The heated coolant then flows to a heat exchanger or chiller before returning to the cold plate to repeat the cycle. [1-5]

Fig 1 – A Tubed Cold Plate Requires a Complete Liquid Loop to Function. Other Loop Components Include a Liquid Reservoir, a Pump, and a Heat Exchanger. [6]

As with most liquid cooling systems, increasing coolant flow rate reduces the thermal resistance between the electronic components and the coolant, improving overall heat transfer performance. For example, with coolant flowing at 1.9 LPM (liters per minutes) one copper-tube cold plate provides thermal resistance of 0.013°C/W. When the flow rate increases to 7.6 LPM, the resistance drops to 0.007°C/W. Continuous copper and steel tubing readily manages high flow rates.

Thermal performance depends on several design variables, including tube material (typically copper or stainless steel), the tube attachment method, and the coolant flow path. Together, these factors determine whether a tubed cold plate is appropriate for the required heat load, coolant chemistry, and operating pressure. [7-11]

Embedding the Tube

The tube is continuous, without joints, which eliminates leak threats and allows it to be bent into serpentine patterns to optimize the plate’s performance.

The method used to attach the tubing to the cold plate has a significant influence on thermal performance. [12,13]

  • Pressed-In (Epoxy Mounted): The tube is pressed into pre-machined grooves on the plate and secured with a thermally conductive epoxy. This is cost-effective but introduces a slight thermal barrier. [14,15]
  • Direct Contact: The embedded tube is machined flat so it sits perfectly flush with the plate surface. The electronic component touches the tube directly, maximizing heat transfer. [16,17]
  • Soldered/Brazed: The tube is metallurgically bonded to the plate. This offers the best thermal performance for tubed designs but increases manufacturing costs. [18]
Fig 2 – (Left) Copper Tube Embedded in Thermally Conductive Epoxy. The Epoxy Improves Heat Transfer to the Aluminum Plate and Keeps Out Potential Insulators, (Right) Press-Fit Copper Tube Provides Secure, Continuous Direct Contact with the Plate. [11]

Tubed Cold Plate – Application Example

Tubed cold plates provide cooling to components with low to moderate heat loads. They are used in thousands of commercial, industrial and military electronics devices. Industry standards for tubing and connectors, and relatively simple construction, provide the flexibility to fit many applications.One example is an ultra-wideband radar subarray consisting of clustered amplifier and analog electronics operating across ambient temperatures ranging from –18°C to 46°C. Air cooling was initially evaluated, but the required heat sink length and high system airflow pressure made that approach impractical. A liquid-cooled tubed cold plate provided the required thermal performance while meeting system constraints.

Fig 3 – (Top) Conjoined Cold Plates Cool the Analog and Amplifier Board Sections on Radar Device. Added Tube Turns Optimize Cooling of the Hotter Amplifier Components. (Bottom) CFD Model with 75W Power in the Amplified and a 12 GPM Flow Rate Showed Achievement of Target Cooling Performance [19]

ATS developed dual tubed cold plates for the amplifier and analog assemblies using standard 0.25-inch (6.35 mm OD) tubing arranged in a multi-pass serpentine configuration. The geometry was optimized to balance heat transfer, pressure drop, and manufacturability. The cold plates were modeled in series with push-to-connect manifold integration. Because of the resulting hydraulic resistance, a higher-capacity pump was required to achieve the desired coolant flow rate. [19]

This tubed cold plate application used thermal engineering methods that integrated CFD and system-level flow modeling, including pump curve interaction. Both thermal and hydraulic performance were optimized, Standard tube and cold plate geometries were used, enabling rapid, lower cost production and scalability.

More Tube Turns Increase Heat Transfer

Increasing the number of tube passes generally improves heat transfer by increasing the tubing surface area available for conduction and by distributing coolant beneath a larger portion of the plate. The result is lower peak temperatures and improved temperature uniformity across the mounting surface.

But there is a limit to the benefits from added tube turns. While they capture more heat, a high number of turns increases fluid friction and hydraulic resistance (pressure drop) inside the cold plate. As with the example above, a more powerful pump may be needed. [20,21]

Fig 4 – The More a Tube is Coiled in a Cold Plate, the More Surface Area is Available for Mounting Hot Components. But There are Limitations. [22]

Another issue is the rise in coolant temperature. As it travels through a complex pathway in the cold plate it will absorb so much heat that it can’t absorb more.  Because the fluid is now warm, those extra turns at the end of the loop transfer heat much less efficiently than the first few turns. [23,24]

Figure 5 – An Aluminum Cold Plate with Four-Pass, Three-Turn Stainless Steel Tubing. [25]

Summary

Tubed cold plates remain one of the most widely used liquid cooling technologies because they combine proven reliability, relatively low manufacturing cost, and robust mechanical performance. Their continuous tubing construction minimizes leak paths while allowing operation at higher coolant pressures than many alternative cold plate designs.

  • Because they use continuous tubing, they have zero internal joints, making them highly reliable for sensitive electronics.
  • There are material choices to fit different applications. For example, you can use an affordable aluminum plate for structure, but a copper tube inside to handle corrosive water coolants without galvanic corrosion.
  • They are generally much cheaper to manufacture than vacuum-brazed or micro-channel cold plates.
  • And the inherent strength of metal tubing allows these plates to handle high fluid pressures. [26]

Are there limitations? Yes.

  • There are limits on how tightly a metal tube can be bent without crimping or restricting fluid flow. [3
  • More tube passes can improve heat transfer and temperature uniformity, but too many passes increase pressure drop and reduce efficiency as the coolant warms.
  • Also, cold plates have higher thermal resistance than vacuum-brazed or micro-channel cold plates because the heat must travel through the plate-to-tube interface.

References

  1. ElePCB, https://www.elepcb.com/blog/pcb-thermal-management/
  2. Medical Design Briefs, https://www.medicaldesignbriefs.com/component/content/article/23309-thermal-design-considerations-for-medical-devices-to-improve-patient-safety
  3. Mersen, https://www.mersen.com/en/products/cooling-solutions-services/right-fluid-liquid-cold-plates
  4. Guchen, https://www.guchen.com/battery-solutions/liquid-cold-plates.html
  5. Cooling Source Thermal, https://coolingsourcethermal.com/liquid-cold-plates/
  6. Advanced Thermal Solutions, Inc., https://www.qats.com/cms/tag/cold-plates-2/
  7. Advanced Thermal Solutions, Inc., https://www.qats.com/Products/Liquid-Cooling/Tubed-Cold-Plates
  8. Radian, https://radianheatsinks.com/liquid-cold-plates/
  9. Jiga, https://jiga.io/articles/cold-plate/
  10. Intergalactic, https://ig.space/commslink/cold-plates-and-conductive-cooling-a-brief-overview
  11. Trumony Techs, https://www.trumonytechs.com/what-are-cold-plates/
  12. Advanced Thermal Solutions, Inc., https://www.qats.com/qpedia/qpedia-issue103-1-0319.ashx
  13. LinkedIn, https://www.linkedin.com/pulse/fundamentals-liquid-cold-plate-cooling-igbt-modules-amar-vishal-5cxxe/
  14. D6 Industries, https://d6industries.com/capabilities/technologies/
  15. ITS Cooling, https://www.itscooling.com/pages/solutions
  16. Baknor Thermal, https://www.baknorthermal.com/flat-copper-tube-liquid-cold-plate-to-dissipate-heat-from-power-electronics/
  17. Kaytus, https://www.kaytus.com/techpedia/13752.html
  18. Kenfa, https://www.kenfatech.com/liquid-cold-plate-thermal-management-guide/
  19. Advanced Thermal Solutions, Inc., https://www.qats.com/Learning-Hub/Case-Studies/High-Power-Liquid-Cooling-Architecture-for-Radar-Subarray-Electronics
  20.  Science Direct, https://www.sciencedirect.com/science/article/abs/pii/S073519332200700X
  21. Calgavin, https://www.calgavin.com/articles/heat-exchangers-for-batch-reactors
  22. AMS Technologies, https://shop.amstechnologies.com/Products/Thermal-Management/Liquid-Cooling-Components/Cold-Plates/
  23. HRS, https://www.hrs-heatexchangers.com/news/specify-heat-exchanger/
  24. JayzTwoCents, https://www.youtube.com/watch?v=RnPB_q51iVk
  25. AMS Technologies, https://shop.amstechnologies.com/CP10G21-Aluminum-Cold-Plate-with-4-Pass-Stainless-Steel-tube-beaded-fittings/C008684-6
  26. KingKa, https://www.kingkatech.com/what-are-the-top-5-liquid-cold-plate-technologies-and-which-one-is-right-for-your-application.html

Making the Change

Air cooling was once the dominant method for cooling processors on a PCB, employing heat sinks, fans, and blowers. These solutions are still popular, but faster-running, higher-powered devices, like most GPUs used for AI can’t be sufficiently cooled with air. Liquid cooling is needed. [1,7]

There isn’t a universal application point where engineers must switch from air cooling to liquid cooling. The decision mainly depends on allowable temperature and heat flux. Other considerations include higher costs and power needs, added hardware, space and weight, and required more monitoring. [1,3]

Fig 1 – Air Cooling Heat Sink vs. Liquid Cooling. [9,10]

In practice, once devices reach several hundred watts in a compact package, or when the required thermal resistance approaches 0.1°C/W or lower, liquid cooling often becomes the preferred solution.

Low Thermal Resistance

Engineers usually don’t switch to liquid cooling simply because a chip reaches a particular wattage. They switch when the required junction-to-ambient thermal resistance falls below what can be achieved economically and reliably with available airflow and heat sink models. [2,3,5]

Fig 2 – Typical Chip Temperature Location [11]

Consider an equation and example:

Tj = Tα+ P x RαJA                              [2]

Where:

Tj = junction temperature

Tα = ambient temperature

P = power dissipation

RαJA = thermal resistance from junction to ambient

If keeping the chip within its temperature limits requires an unrealistically low thermal resistance, air cooling may not be practical.

Example:

Ambient = 40°C

Maximum junction temp = 90°C

Chip power = 500 W

The allowable thermal resistance is:

RαJA = 90 – 40 /500 = 0.1°C/W

Achieving 0.1°C/W with air is extremely difficult. Liquid cooling is the practical solution. [2,3]

High Heat Flux

Heat flux (power per unit area) is often more important than total power. [3]

For example:

  • A 100 W device spread onto a large heat sink may be easy to air-cool
  • A 100 W device concentrated in a 1 cm² die can be much harder

Modern high-performance processors, GPUs, laser diodes, RF power amplifiers, and power electronics often reach heat fluxes that make air cooling difficult.

Fig 3 – Heat Flux Measures the Amount of Heat Energy Transferred from a Warmer Side to a Cooler Side. [12]

Typical industry guidance suggests:

  • Air cooling: comfortable below ~10–20 W/cm² [1,6]
  • Advanced air cooling: can sometimes handle 50–100 W/cm² with aggressive airflow [1,6]
  • Liquid cooling: often becomes attractive above ~100 W/cm² [1,6,7]

In basic terms:

  • Air cooling is usually limited by how much heat you can transfer from the heat sink to the air.
  • Liquid cooling is usually limited by how much heat you can get from the chip into the coolant.

Where Air Cooling Works Well

Fig 4 – Heat Sinks from Advanced Thermal Solutions, Inc. [9]

  • Total heat dissipation is relatively modest, up to a few hundred watts
  • There is enough surface area for heat sinks
  • There is sufficient airflow through the enclosure
  • Higher fan noise is acceptable  [1,3]

Air cooling is used in many consumer electronics products and networking devices.

Coolants Remove More Heat

Since water-based coolants have much higher heat capacity and thermal conductivity than air, they can transport large amounts of heat away with relatively small temperature rises. [3,9]

For example:

  • Air’s specific heat capacity is about 1 kJ/kg·K 
  • Water’s is about 4.2 kJ/kg·K   

And water is about 830 times denser than air, so a small coolant flow can carry away an enormous amount of heat compared with an equivalent volume flow of air. [9]

Fig 5 – Tubing and Ports on a Liquid Cooling System [9]

That’s why modern AI accelerators, high-power motor drives, and high-density data-center servers are increasingly moving toward liquid cooling: not because air cooling is impossible, but because the required heat removal density becomes impractical with fans and heat sinks alone. [1,7,8]

The Benefits of Faster Flow Rates

Air cooling performance increases when the rate of airflow increases. Thus, many heat sinks are supported with fans and blowers to enhance heat transfer into the passing air. [3]

Liquid cooling, similarly, is enhanced with higher flow rates. A common expectation is that a coolant that stays longer at the heat source (chip) will absorb more heat. But, at slower flow rates, the coolant heats up as it moves through a cold plate and downstream in the cooling loop. As a result, the returning coolant has less of a temperature difference from the chip, and heat transfer becomes less effective. [3,4]

With a faster flow of liquid coolant, the fluid temperature stays more uniform and keeps a steady, higher temperature difference from the chip. This makes heat extraction more efficient and improves the lowering of chip temperatures. [3,4]

Flow rates can be optimized per application. There are diminishing returns on performance as flow rates increase, as well as added costs. Your liquid cooling system provider should provide performance data and recommendations for proper flow rates. [3,4]

In-Between Air and Liquid Cooling

There are options that fall between air and liquid cooling methods. Engineers should look through these choices before designing in a liquid system. They could provide simpler, lower-cost, but reliably effective cooling       

The expanded options include:

  1. Better PCB thermal design (thermal vias, thicker copper planes)
  2. Larger heat sinks
  3. Forced-air cooling with optimized airflow paths
  4. Heat pipes or vapor chambers to spread heat
  5. Remote heat exchangers connected by heat pipes
  6. Liquid cold plates       [3,4]

Fig 6 – Heat Pipes May Meet Cooling Needs in Place of Air or Liquid Cooling [9]

Not a Tradeoff

Traditional air cooling is inadequate for many of today’s thermal management needs. Other methods, including enhanced air cooling  systems, may offer solutions. But for many applications, including fast-growing AI units and data centers, liquid cooling is essential. In this case, there is no tradeoff because its use is the only option. [1,6,7]

Consider This

Here are some analogies for comparing air to liquid (water) cooling:

Air is a ghost. Because air is so light and empty, a single cubic meter of it can only grab a tiny handful of heat before it gets too hot and gives up.

Water is a sponge. Because water is about 830 times denser and packed tight with mass, that same one cubic meter acts like a massive thermal sponge. It can swallow up a staggering amount of heat before its temperature rises even a single degree.

To cool a hot system, you either have to blow a hurricane of lightweight air past it, or gently glide a tiny, heavy stream of water over it.

References

  1. ASHRAE. Thermal Guidelines for Data Processing Environments, latest edition.
  2. JEDEC Solid State Technology Association. JESD51 Series: Methodology for the Thermal Measurement of Component Packages.
  3. Frank P. Incropera, David P. DeWitt, Theodore L. Bergman, and Adrienne S. Lavine. Fundamentals of Heat and Mass Transfer, Wiley.
  4. David A. Reay, Ryan McGlen, and Peter Kew. Heat Pipes: Theory, Design and Applications.
  5. Texas Instruments. Thermal Design by Insight, Not Hindsight (Application Report).
  6. Open Compute Project Foundation. Advanced Cooling Solutions documentation.
  7. NVIDIA. Data Center Liquid Cooling technical papers and deployment guides.
  8. National Institute of Standards and Technology (NIST). Thermophysical Properties of Fluids Database.
  9. Advanced Thermal Solutions, Inc., https://www.qats.com
  10. Chatsworth Products, https://www.chatsworth.com/en-us/resources/blogs/2026/5-misunderstood-facts-about-direct-to-chip-liquid-cooling/
  11. Advanced Thermal Solutions, Inc, https://www.qats.com/
  12. EngineerExcel, https://engineerexcel.com/flow-of-heat/

Powering the Future: ATS Thermal Engineer Sridevi Iyengar on AI, Innovation, and Sustainable Engineering

ATS proudly recognizes our own Sridevi Iyengar, an accomplished thermal engineer whose insights reflect both deep experience and forward-thinking innovation. On the future of engineering, Sridevi emphasizes “With the growing role of artificial intelligence in transforming everyday workflows, tasks that once required significant manual effort are now being streamlined through AI. This allows engineers to focus on more complex challenges. More importantly, our unique experience remains irreplaceable. So, while AI can accelerate progress, it cannot replicate the intuition and judgment that engineers develop over decades in the field.”

Iyengar is also experiencing how AI and high-performance computing are making a major impact on her field of electronics thermal management. “As systems become more powerful, the demand for advanced cooling solutions has intensified. Traditional cooling methods are no longer sufficient to handle the extreme heat generated at the component level. Innovations such as liquid cooling and next-generation cold plate technologies are becoming essential. Without these advancements, the continued growth of AI could face significant limitations.”

 Equally important is the challenge of sustainability. Iyengar underscores the need for the international community to rethink how it handles the vast amounts of heat produced by modern technologies. “Rather than allowing energy to be wasted, I envision a future where excess heat is captured and reused—turning a challenge into an opportunity. Whether it’s heating communities or being converted into other forms of energy, these solutions will require collaboration, creativity, and commitment across the world community.” Through voices like Sridevi Iyengar’s, ATS continues to highlight the leadership and impact of women driving meaningful change in engineering.

Cooling AI Data Centers

How important are AI data centers? In just months, Elon Musk’s xAI team converted a factory outside Memphis into a cutting-edge, 100,000-GPU center for training the Colossus supercomputer—home to the Grok chatbot.

Initially powered by temporary gas turbines (later replaced by grid power), Colossus installed its first 100,000 chips in only 19 days, drawing praise from NVIDIA CEO Jensen Huang. Today, it operates 200,000 GPUs, with plans to reach 1 million GPUs by the end of 2025. [1]

Figure 1 – Elon Musk’s 1 Million Sq Ft xAI Colossus Supercomputer Facility near Memphis, TN. [1]

There are about 12,000 data centers throughout the world, nearly half of them in the United States. Now, more and more of these are being built or retrofitted for AI-specific workloads. Leaders include Musk’s xAI, Microsoft, Meta, Google, Amazon, OpenAI, and others.

High power is essential for such operations, and like computational electronics of all sizes heat issues need to be resolved.

GenAI

A key driver of data center growth is Generative AI (GenAI)—AI that creates text, images, audio, video, and code using deep learning. Chatbots and large language model ChatGPT are examples of GenAI, along with text-to-image models that generate images from written descriptions.

Managing all this is possible from new generations of processors, mainly GPUs. They all draw on higher levels of power and generate higher amounts of heat.

Figure 2 – Advanced AI Processor, the NVIDIA GH200 Grace Hopper Superchip with Integrated CPU to Increase Speed and Performance. [2,3]

AI data centers prioritize HPC hardware: GPUs, FPGAs, ASICs, and ultra-fast networking. Compared to CPUs (150–200 W), today’s AI GPUs often run >1,000 W.  . To handle massive datasets and complex computations in real-time they need significant power and cooling infrastructure.

Data Center Cooling Basics

Traditional HVAC was sufficient for older CPU-driven data centers. Today’s AI GPUs demand far more cooling, both at the chip level and facility-wide. This has propelled a need for more efficient thermal management systems at both the micro (server board and chip) and macro (server rack and facility) levels. [4]

Figure 3 – The Colossus AI Supercomputer Now Runs 200,000 GPUs. It Operates at 150MW Power, Equivalent to 80,000 Households. [5]

At Colossus, Supermicro 4U servers house NVIDIA Hopper GPUs cooled by:

  • Cold plates
  • Coolant distribution manifolds (1U between each server)
  • Coolant distribution units (CDUs) with redundant pumps at each rack base [6]

Each 4U server is equipped with eight NVIDIA H100 Tensor Core GPUs. Each rack contains eight 4U servers, totaling 64 GPUs per rack.

Between every server is a 1U manifold for liquid cooling. They connect with CDUs, heat-exchanging Coolant Distribution Units at the bottom of each rack that include a redundant pumping system. The choice of coolant is determined by a range of hardware and environmental factors.

Figure 4 – Each Colossus Rack Contains Eight 4U Servers, Totaling 64 GPUs Per Rack. Between Each Server is a 1U Manifold for Liquid Cooling. [7]
Figure 5 – The Base of Each Rack Has a 4U CDU Pumping System with Redundant Liquid Cooling. [7]

Role of Cooling Fans

Fans remain essential for DIMMs, power supplies, controllers, and NICs.

Figure 6 – Rear Door Liquid-Cooled Heat Exchangers. [7]

At Colossus, fans in the servers pull cooler air from the front of the rack, and exhaust the air at the rear of the server. From there, the air is pulled through rear door heat exchangers. The heat exchangers pass warm air through a liquid-cooled, finned heat exchanger/radiator, lowering its temperature before it exits the rack.

Direct-to-Chip Cooling

NVIDIA’s DGX H100 and H200 server systems feature eight GPUs and two CPUs that must run between 5°C and 30°C. An AI data center with a high rack density houses thousands of these systems performing HPC tasks at maximum load. Direct liquid cooling solutions are required.

Figure 7 – An NVIDIA DGX H100/H200 System Featuring Eight GPUs [8]
Figure 8 – The NVIDIA H100 SmartPlate Connects to a Liquid Cooling System to Bring Microconvective Chip-Level Cooling That Outperforms Air Cooling by 82%. [9]

Direct liquid cooling (cold plates contacting the GPU die) is the most effective method—outperforming air cooling by 82%. It is preferred for high-density deployments of the H100 or GH200.

Scalable Cooling Modules

Colossus represents the world’s largest liquid-cooled AI cluster, using NVIDIA + Supermicro technology. For smaller AI data centers, Cooling Distribution Modules (CDMs) provide a compact, self-contained solution.

Figure 9 – The iCDM-X Cooling Distribution Module from ATS Includes Pumps, Heat Exchanger and Liquid Coolant for Managing Heat from AI GPUs and Other Components. [10]

Most AI data centers are smaller, and power and cooling needs are lower, but essential. Many heat issues can be resolved using self-contained Cooling Distribution Modules.

The compact iCDM-X cooling distribution module provides up to 1.6MW of cooling for a wide range of AI GPUs and other chips. The module measures and logs all important liquid cooling parameters. It uses using just 3kW of power, and no external coolant is required.

These modules include:

•         Pumps

•         Heat exchangers

•         Cold plates

•         Digital monitoring (temp, pressure, flow)

Their sole external component is one or more cold plates removing heat from AI chips. ATS provides an industry-leading selection of custom and standard cold plates, including the high-performing ICEcrystal series.

Figure 10 – The ICEcrystal Cold Plates Series from ATS Provide 1.5 kW of Jet Impingement Liquid Cooling Directly onto AI Chip Hotspots.

Cooling Edge AI and Embedded Applications

AI isn’t just for big data centers—edge AI, robotics, and embedded systems (e.g., NVIDIA Jetson Orin, AMD Kria K26) use processors running under 100 W. These are effectively cooled with heat sinks and fan sinks from suppliers like Advanced Thermal Solutions. [11]

Figure 11 – High Performance Heat Sinks for NVIDIA and AMD AI Processors in Embedded and Edge Applications. [11]

NVIDIA also partners with Lenovo, whose 6th-gen Neptune cooling system enables full liquid cooling (fanless) across its ThinkSystem SC777 V4 servers—targeting enterprise deployments with NVIDIA Blackwell + GB200 GPUs. [12]

Figure 12 – Lenovo’s Neptune Direct Water Cooling Removes Heat from Power Supplies, for Completely Fanless Operation. [12]

Benefits gained from the Neptune system include:

  • Full system cooling (GPUs, CPUs, memory, I/O, storage, regulators)
  • Efficient for 10-trillion-parameter models
  • Improved performance, energy efficiency, and reliability

Conclusion

With surging demand, AI data centers are now a major construction focus. Historically, cooling problems are the #2 cause of data center downtime (behind power issues). With the high power needed for AI computing, these builds should carefully fit with their local communities in terms of electrical needs and sources, and water consumption. [13]

AI workloads will increase U.S. data center power demand by 165% by 2030 (Goldman Sachs), with nearly double 2022 levels (IBM/Newmark). Sustainable design and resource-conscious cooling are essential for the next wave of AI infrastructure. [14,15]

References

1. The Guardian, https://www.theguardian.com/technology/2025/apr/24/elon-musk-xai-memphis

2. Fibermall, https://www.fibermall.com/blog/gh200-nvidia.htm

3. NVIDA, https://resources.nvidia.com/en-us-grace-cpu/grace-hopper-superchip?ncid=no-ncid

4. ID Tech Ex, https://www.idtechex.com/en/research-report/thermal-management-for-data-centers-2025-2035-technologies-markets-and-opportunities/1036

5. Data Center Frontier, https://www.datacenterfrontier.com/machine-learning/article/55244139/the-colossus-ai-supercomputer-elon-musks-drive-toward-data-center-ai-technology-domination

6. Supermicro, https://learn-more.supermicro.com/data-center-stories/how-supermicro-built-the-xai-colossus-supercomputer

7. Serve The Home, https://www.servethehome.com/inside-100000-nvidia-gpu-xai-colossus-cluster-supermicro-helped-build-for-elon-musk/2/

8. Naddod, https://www.naddod.com/blog/introduction-to-nvidia-dgx-h100-h200-system

9. Flex, https://flex.com/resources/flex-and-jetcool-partner-to-develop-liquid-cooling-ready-servers-for-ai-and-high-density-workloads

10. Advanced Thermal Solutions, https://www.qats.com/Products/Liquid-Cooling/iCDM

11. Advanced Thermal Solutions, https://www.qats.com/Heat-Sinks/Device-Specific-Freescale

12. Lenovo, https://www.lenovo.com/us/en/servers-storage/neptune/?orgRef=https%253A%252F%252Fwww.google.com%252F

13. Deloitte, https://www2.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/2025/genai-power-consumption-creates-need-for-more-sustainable-data-centers.html

14.GoldmanSachs, https://www.goldmansachs.com/insights/articles/ai-to-drive-165-increase-in-data-center-power-demand-by-2030

15. Newmark, https://www.nmrk.com/insights/market-report/2023-u-s-data-center-market-overview-market-clusters

Chiller Line Reaches 3.5Kw and beyond!

Chillers in liquid cooling loops condition the coolant before it returns to the cold plate and the heat source. The ATS-CHILL V series are re-circulating, vapor compression chillers that offer precise coolant temperature control using a PID controller. ATS iM series chillers are immersed for precise control of the fluid bath temperature. TEChill is a chiller and heater system based on thermoelectric technology. 

Learn about ATS’s Chillers on our YouTube Channel by Clicking the Image