Views: 2 Author: Site Editor Publish Time: 2025-09-10 Origin: Site
A CPU/GPU waterblock solution significantly reduces server energy costs by enabling more efficient thermal management, directly cutting down the power consumed by fans and air conditioning. This allows for higher server density, prevents thermal throttling, and offers potential for heat reuse, collectively lowering Power Usage Effectiveness (PUE) and decreasing overall operational expenses for data centers and AI clusters.
In the fast-paced world of data centers and AI clusters, the demand for computational power is skyrocketing. But with great power comes great heat, and with great heat comes soaring energy bills. As energy costs continue to climb, data center operators are urgently seeking innovative ways to curb their electricity consumption without sacrificing performance. The answer might just lie in a technology that’s revolutionizing thermal management: the CPU/GPU waterblock solution. This isn't just about keeping things cool; it's about fundamentally reshaping the economics of server operation, paving the way for greener, more efficient, and more cost-effective infrastructure.
In today's digital economy, modern servers are the backbone of virtually every industry, from cloud computing to advanced AI. However, their immense power comes at a significant environmental and financial cost, making energy efficiency a critical concern for every data center operator.
Energy efficiency matters in modern servers because rising electricity costs directly impact operational expenses, with cooling often consuming 30-50% of a data center's total power. In high-density AI clusters, inefficient cooling leads to thermal throttling and wasted energy, making liquid cooling solutions like CPU/GPU waterblocks essential for sustainable performance and cost reduction.
The sheer scale of modern data centers and the computational intensity of AI clusters mean that electricity consumption is astronomical. According to some estimates, data centers globally consume roughly 1-2% of the world's electricity, a figure that is projected to grow significantly with the expansion of AI and cloud services. This translates directly into massive operational expenses for data center operators.
For instance, a single rack of high-performance AI servers equipped with multiple GPUs (e.g., NVIDIA H100s) can draw tens of kilowatts of power. Multiply that by hundreds or thousands of racks, and the monthly electricity bill becomes staggering. As energy prices fluctuate and generally trend upwards, these costs become an increasingly heavy burden. Without effective strategies to reduce energy consumption, the profitability and sustainability of data center operations are severely threatened. This is why solutions like a CPU/GPU waterblock solution are gaining traction, offering a direct path to mitigating these rising costs.
Data Center Type | Typical Power Consumption (per rack) | Primary Energy Cost Driver |
Enterprise | 5-15 kW | Servers, cooling |
Hyperscale | 15-30 kW+ | Servers, cooling, network |
AI/HPC Cluster | 20-50 kW+ | GPUs, CPUs, cooling |
It's a common misconception that most of a server's energy goes directly to its processors. In reality, a significant portion of a data center's total energy consumption is dedicated to cooling. Traditional air-cooling systems, which rely on large Computer Room Air Conditioners (CRACs) and an array of server fans, can account for 30% to 50% or even more of a data center's total electricity bill.
These air-cooling systems are inherently inefficient for high-density, high-heat environments like AI clusters. They cool the entire room or rack, not just the hot components, and air is a poor conductor of heat compared to liquid. This means fans have to work harder, CRAC units run constantly, and a lot of energy is wasted moving air around. For example, a data center with a Power Usage Effectiveness (PUE) of 1.8 means that for every watt of power consumed by IT equipment, 0.8 watts are consumed by supporting infrastructure, with cooling being a major component of that overhead. A CPU/GPU waterblock solution directly targets this inefficiency by removing heat at the source, drastically reducing the load on the entire cooling infrastructure.
Given the challenges, liquid cooling has emerged as a highly promising solution for achieving sustainable energy efficiency in modern servers. Unlike air, liquid coolants (like water or dielectric fluids) are far more effective at absorbing and transporting heat. This allows for much more precise and efficient thermal management.
A CPU/GPU waterblock solution is at the forefront of this shift. By directly cooling the hottest components, it prevents heat from building up in the server chassis and the data center environment. This leads to:
Reduced Fan Power: Server fans can run slower or even be eliminated, saving significant power.
Lower AC Load: The need for massive air conditioning systems is reduced, as less heat is released into the data center air.
Higher PUE: Data centers can achieve much lower PUE values (closer to the ideal 1.0), indicating greater energy efficiency.
This not only cuts down on electricity bills but also contributes to a greener, more sustainable data center operation. For companies like KINGKA, specializing in custom cold plates and thermal management, providing these advanced liquid cooling solutions is central to helping clients achieve their energy efficiency goals.
To understand how a CPU/GPU waterblock solution reduces energy costs, it's essential to first grasp what these components are and how they work. They are the unsung heroes of modern thermal management, especially in high-performance computing.
A CPU/GPU waterblock is a precision-engineered component, typically a microchannel cold plate made of highly conductive copper, designed to transfer heat directly from a server's processor (CPU or GPU) to a circulating liquid coolant. Unlike air cooling, which relies on inefficient air movement, waterblocks provide superior, direct-to-chip heat removal, enabling stable temperatures for demanding 24/7 workloads.
At its core, a CPU/GPU waterblock is a specialized heat exchanger. It's a solid block, most commonly made from high-purity copper due to its exceptional thermal conductivity (around 400 W/m·K). This block is machined with intricate internal channels, often referred to as microchannels or fin arrays, which maximize the surface area in contact with the liquid coolant.
The working principle is straightforward yet highly effective:
Direct Contact: The flat base of the waterblock is placed directly onto the Integrated Heat Spreader (IHS) of the CPU or GPU, with a thin layer of thermal interface material (TIM) to ensure optimal contact.
Heat Absorption: Heat generated by the processor is rapidly absorbed by the highly conductive copper base.
Heat Transfer to Liquid: As liquid coolant (typically a water-based solution) flows through the internal microchannels, it picks up the absorbed heat. The large internal surface area and turbulent flow within the channels facilitate efficient heat exchange.
Heat Removal: The now-heated coolant exits the waterblock and is pumped to a radiator or Cooling Distribution Unit (CDU), where the heat is dissipated, and the cooled liquid returns to the waterblock to repeat the cycle.
This direct, efficient heat transfer is what makes a CPU/GPU waterblock solution so powerful for thermal management in high-performance servers.
Component Part | Material (Typical) | Function |
Base Plate | Copper | Absorbs heat from CPU/GPU. |
Internal Fins | Copper | Maximizes surface area for heat transfer to liquid. |
Top Cover | Copper, Stainless Steel | Seals the liquid channels. |
Inlet/Outlet | Brass, Stainless Steel | Connects to the liquid cooling loop. |
To truly appreciate the value of a CPU/GPU waterblock solution, it's helpful to compare it with traditional air cooling.
Heat Transfer Medium: Air is a poor conductor of heat and has a low specific heat capacity. This means it takes a lot of air movement (noisy, power-hungry fans) to remove a relatively small amount of heat. Liquid coolants, on the other hand, are far more efficient at absorbing and transporting heat, often by a factor of 25-30x compared to air.
Direct Contact vs. Indirect: Air coolers rely on fins that are exposed to air, which then moves over them. This is an indirect method. Waterblocks provide direct contact with the heat source, removing heat immediately and preventing it from radiating into the server chassis.
Space and Density: Air coolers, especially for high-TDP components, are bulky. They require significant space around them for airflow. Liquid cooling components are much more compact, enabling higher server and component density within a rack.
Noise: Air cooling relies on fans, which generate significant noise, especially in a data center with hundreds or thousands of servers. Liquid cooling systems are much quieter, as the primary heat dissipation (radiators) can be located remotely.
For a high-TDP component like a 385W server CPU or a 700W+ AI GPU, an air cooler might struggle to maintain optimal temperatures, leading to thermal throttling. A CPU/GPU waterblock, with its superior thermal resistance (e.g., R-ca = 0.028°C/W), can easily manage these loads, ensuring sustained peak performance.
For enterprise environments and AI clusters running 24/7, a CPU/GPU waterblock solution isn't just about performance; it's about unwavering reliability. This demands specific design considerations:
Robust Materials: High-quality materials like pure copper, often with nickel plating for corrosion resistance, are essential. Stainless steel is used for fittings and covers for durability.
Leak-Proof Construction: Given the proximity of liquid to sensitive electronics, leak prevention is paramount. Advanced manufacturing techniques such as vacuum brazing (for copper) or Friction Stir Welding (FSW for aluminum) create incredibly strong, leak-proof bonds.
Pressure Testing: Every enterprise-grade waterblock undergoes rigorous pressure testing to ensure there are no leaks under operational conditions.
Durability: Components must withstand continuous operation, temperature fluctuations, and the physical stresses of a data center environment.
KINGKA, with over 15 years of experience in custom cold plates and precision manufacturing, understands these critical requirements. Our designs prioritize both thermal efficiency and long-term reliability for demanding enterprise workloads.
The direct, efficient heat removal provided by a CPU/GPU waterblock solution translates into significant energy cost reductions across multiple facets of data center operation. It's a multi-pronged approach to efficiency.
A CPU/GPU waterblock solution reduces energy costs by drastically cutting fan and air conditioning loads, enabling higher server density that optimizes space and power, and offering the potential for heat reuse. This holistic approach lowers the data center's Power Usage Effectiveness (PUE), directly translating to substantial savings on electricity bills and a greener operational footprint.
This is the most direct way a CPU/GPU waterblock solution slashes energy costs. In traditional air-cooled data centers, a huge amount of electricity is consumed by:
Server Fans: Each server has multiple fans (CPU, GPU, chassis, PSU) that spin at high RPMs to push air over heatsinks. For high-TDP components, these fans consume significant power and generate noise. With waterblocks, the heat is removed directly by liquid, allowing server fans to run much slower, or in some cases, be eliminated entirely.
Computer Room Air Conditioners (CRACs)/Computer Room Air Handlers (CRAHs): These massive units cool the entire data center room. They are incredibly energy-intensive. By removing heat directly from the source via liquid, less heat is released into the data center's ambient air. This significantly reduces the workload on CRAC/CRAH units, allowing them to run less frequently or at lower capacities, leading to massive energy savings.
For example, a data center might see its cooling energy consumption drop by 20-30% or more after implementing liquid cooling for its high-density racks. This directly impacts the data center's Power Usage Effectiveness (PUE), bringing it closer to the ideal 1.0. A custom copper liquid cold plate handling a 385W TDP component with an R-ca of 0.028°C/W means that the cooling system is working at peak efficiency, minimizing wasted energy.
Cooling System Component | Energy Reduction with Waterblocks | Impact on OpEx |
Server Fans | Significant (slower speeds/fewer fans) | Lower |
CRAC/CRAH Units | Substantial (reduced workload) | Much Lower |
Chillers | Moderate (if used) | Lower |
Another powerful way a CPU/GPU waterblock solution reduces energy costs is by enabling higher server density. In air-cooled environments, the amount of heat generated dictates how many servers can be packed into a rack and how many racks can fit into a data center. Overheating risks force operators to leave empty "buffer" spaces or deploy fewer servers.
Liquid cooling changes this equation. Because heat is removed directly by liquid, the thermal density of a rack can be dramatically increased. More powerful CPUs and GPUs can be installed in each server, and more servers can be installed in each rack, without encountering thermal limits.
This higher density means:
Optimized Space Utilization: Data centers can achieve more computational power per square foot, reducing the need for expensive physical expansion.
Reduced Infrastructure Costs: Fewer racks, less cabling, and a smaller overall footprint can lead to savings in construction, power distribution, and network infrastructure.
Consolidated Operations: Managing a denser, more powerful infrastructure can be more efficient, reducing labor costs.
For an AI cluster, where every square inch of rack space is precious, a CPU/GPU waterblock solution allows for maximum computational power in a minimal footprint, directly translating to more efficient use of resources and lower overall energy consumption for a given workload.
Perhaps the most innovative way a CPU/GPU waterblock solution can reduce energy costs is through the potential for heat reuse. Traditional air cooling dissipates heat into the atmosphere as low-grade, unusable warmth. Liquid cooling, however, can capture heat at a higher temperature.
This "waste heat" from the servers, now carried by the liquid coolant, can be integrated into energy recovery systems. For example:
Hot Water Reuse: The heated coolant can be used to pre-heat water for the data center's own facilities (e.g., showers, heating systems).
District Heating: In some advanced setups, the heat can be fed into a district heating network, providing warmth for nearby buildings or communities.
Absorption Chillers: The heat can even be used to power absorption chillers, which generate cooling without electricity, creating a highly efficient closed-loop system.
While implementing heat reuse requires additional infrastructure, it represents a significant opportunity for data centers to turn a cost (waste heat) into a valuable resource, further reducing their reliance on external energy sources and enhancing their sustainability profile. This is a key component of a truly green data center strategy.
At KINGKA, we understand that reducing server energy costs requires not just any CPU/GPU waterblock solution, but one that is engineered for peak performance, reliability, and customizability. Our products are designed with these critical factors in mind.
KingKa Tech’s CPU/GPU waterblocks feature high thermal efficiency through advanced microchannel designs, utilizing reliable materials like copper or nickel-plated copper for optimal heat transfer. Our products are manufactured with CNC precision and undergo strict quality control, offering customizable solutions tailored to specific server architectures and demanding 24/7 workloads, ensuring maximum energy cost reduction and reliability.
The core of KINGKA's CPU/GPU waterblock solution lies in its superior thermal efficiency. We achieve this through:
Optimal Material Selection: We primarily use high-purity copper, known for its exceptional thermal conductivity (approx. 400 W/m·K). For enhanced corrosion resistance and long-term durability, we also offer nickel-plated copper options.
Advanced Microchannel Design: Our waterblocks feature meticulously engineered internal microchannels or fin arrays. These designs are optimized to maximize the surface area in contact with the coolant, promoting turbulent flow for efficient heat exchange, while minimizing pressure drop across the block. This ensures that even high-TDP components (e.g., 385W CPUs or 700W+ GPUs) can be cooled effectively with a low thermal resistance (e.g., R-ca = 0.028°C/W).
Thermal Analysis Software: Our highly technical design team utilizes advanced thermal analysis software to simulate performance and optimize designs, ensuring the most efficient heat transfer for your specific application.
This focus on thermal efficiency means our waterblocks can rapidly pull heat away from your processors, preventing thermal throttling and allowing your servers to operate at peak performance while simultaneously reducing the load on your data center's cooling infrastructure, directly contributing to lower energy costs.
Feature | Benefit for Energy Cost Reduction |
High Thermal Conductivity (Copper) | Rapid heat absorption, prevents heat buildup. |
Advanced Microchannel Design | Maximizes heat transfer to liquid, minimizes pump energy. |
Low Thermal Resistance (R-ca) | Keeps components cooler, reduces fan/AC workload. |
Reliability is non-negotiable for enterprise-grade liquid cooling solutions. KINGKA ensures this through:
Diverse Material Options: Beyond copper, we offer waterblocks in stainless steel and aluminum, allowing us to select the best material for specific coolant chemistries and application requirements.
CNC Precision Manufacturing: Our facility is equipped with 35 sets of high-end CNC machines, enabling us to manufacture complex internal geometries and achieve micron-level flatness on mating surfaces. This precision is critical for optimal thermal contact and leak-proof construction.
Advanced Sealing Techniques: We employ robust sealing methods such as vacuum brazing (for copper/stainless steel) and Friction Stir Welding (FSW for aluminum). These techniques create incredibly strong, leak-proof bonds, essential for the long-term integrity of the waterblock.
Strict Quality Control: Every product undergoes at least four rigorous inspections using advanced testing equipment, including Automatic CMM, projectors, and micrometers. Crucially, all waterblocks are pressure-tested to guarantee leak-free operation before shipment.
This meticulous approach to materials, manufacturing, and quality control ensures that KINGKA's CPU/GPU waterblock solutions are not only highly efficient but also exceptionally reliable, minimizing the risk of costly downtime and hardware damage in your AI data center.
One size rarely fits all in the complex world of server infrastructure. KINGKA excels in providing custom cold plates that are perfectly tailored to your unique needs:
Bespoke Design: We can design waterblocks to fit specific CPU sockets (e.g., Intel EGS platforms), GPU modules, or custom server chassis dimensions. This includes optimizing port placement for seamless integration with your existing plumbing.
Workload Optimization: Our designs can be fine-tuned for specific thermal profiles of your workloads, whether it's continuous AI training, high-frequency trading, or scientific simulations. We can balance thermal performance with pressure drop to match your pump and coolant loop capabilities.
Free Technical Design Support: Our experienced R&D team, with over 25 years of combined expertise in mechanical machining and thermal fields, offers free technical design support, including thermal design and airflow simulations. This ensures that your custom cold plates are optimized for your exact server architecture and cooling system.
This level of customization ensures that your CPU/GPU waterblock solution is not just an add-on, but an integral, optimized part of your server infrastructure, maximizing its energy efficiency and performance.
Deploying a CPU/GPU waterblock solution requires a strategic approach that considers the entire cooling ecosystem. It's not just about installing waterblocks; it's about integrating them into a robust and reliable liquid cooling system.
Implementing a waterblock cooling system requires assessing thermal hotspots and power consumption, choosing the right CPU-only, GPU-only, or combined cold plate configurations, and carefully integrating pumps, radiators, and coolant loops with robust safety measures. Best practices include thorough compatibility checks, establishing regular maintenance protocols, and ensuring long-term reliability for optimal energy cost reduction and performance.
Before deploying any liquid cooling system, a thorough assessment of your existing server infrastructure is crucial. This involves:
Identifying Thermal Hotspots: Pinpointing which servers, racks, CPUs, and GPUs are generating the most heat and experiencing thermal throttling. This data helps prioritize where to implement waterblocks first.
Analyzing Power Consumption: Measuring the current power draw of your IT equipment and, critically, your cooling infrastructure (fans, CRACs, chillers). This establishes a baseline for measuring energy cost reductions.
Understanding Workload Profiles: Different AI workloads, for example, have different thermal characteristics. Understanding these profiles helps in designing a cooling solution that can handle peak demands consistently.
KINGKA's technical team can assist with initial thermal analysis and simulations, helping you identify critical areas and quantify potential energy savings from a CPU/GPU waterblock solution. This data-driven approach ensures that your investment in thermal management yields the maximum return.
Assessment Area | Data to Collect | Purpose |
Server/Rack Temperatures | CPU/GPU temps, ambient rack temps. | Identify throttling, quantify heat load. |
Power Draw | Server power, cooling system power. | Establish PUE baseline, calculate potential energy savings. |
Workload Utilization | CPU/GPU utilization rates, duration of peak loads. | Understand thermal demands, optimize waterblock design. |
The type of CPU/GPU waterblock solution you implement will depend on your specific server architecture and thermal needs:
CPU-only Cold Plates: Ideal for servers with high-TDP CPUs (e.g., Intel EGS platforms) but less demanding GPUs, or for general-purpose compute servers where CPU performance is the primary bottleneck.
GPU-only Cold Plates: Essential for AI clusters and GPU servers where GPUs are the dominant heat source. These are often the first components to throttle under heavy AI workloads.
Combined Cold Plates: For servers where both the CPU and GPU generate significant heat, a combined solution can offer a holistic approach to thermal management, often integrating both into a single liquid loop within the server.
KINGKA offers a range of custom cold plates for all these configurations, including specialized liquid cold plates for high-power GPUs and CPUs. Our design team can help you determine the most effective configuration for your specific hardware and workload requirements.
Implementing a CPU/GPU waterblock solution means integrating it into a complete liquid cooling system. This involves several critical components:
Pumps: Selecting pumps with adequate flow rate and head pressure to circulate the coolant efficiently through all waterblocks and the rest of the loop. Redundancy is crucial for enterprise reliability.
Radiators/CDUs: Choosing the right size and type of heat exchanger (e.g., air-to-liquid radiators, liquid-to-liquid CDUs) to dissipate the total heat load from the servers.
Coolant Loops: Designing the plumbing, including tubing, quick-disconnects, and manifolds, to ensure optimal flow, minimize pressure drop, and facilitate easy maintenance.
Safety Considerations: Implementing robust leak detection systems, automatic shut-off valves, and alarm systems to protect valuable IT equipment from potential liquid leaks. This is paramount for any green data center adopting liquid cooling.
KINGKA's one-stop service extends to advising on these system-level integrations, ensuring that your CPU/GPU waterblock solution is part of a cohesive, safe, and highly efficient thermal management system.
To maximize the energy cost reductions and long-term benefits of a CPU/GPU waterblock solution, adherence to best practices is vital:
Compatibility Checks: Thoroughly verify compatibility between waterblocks, server hardware, and other liquid cooling components. KINGKA's custom design capabilities minimize compatibility issues.
Professional Installation: Ensure installation is performed by experienced technicians to prevent leaks and ensure proper seating of waterblocks.
Regular Maintenance: Implement a schedule for checking coolant levels, inspecting for leaks, cleaning radiators, and potentially replacing coolant. This proactive approach prevents issues and maintains peak efficiency.
Monitoring: Continuously monitor coolant temperatures, flow rates, and component temperatures to ensure the system is operating optimally.
Long-Term Reliability: Choose high-quality, enterprise-grade components from reputable manufacturers like KINGKA, known for strict quality control (e.g., 4+ inspections, CMM, leak testing) and durable construction.
By following these best practices, data centers can ensure their CPU/GPU waterblock solution delivers consistent energy savings and reliable performance for years to come.
While reducing server energy costs is a primary driver for adopting a CPU/GPU waterblock solution, the benefits extend far beyond the balance sheet, impacting performance, reliability, and the overall sustainability of your data center.
Beyond cost savings, a CPU/GPU waterblock solution offers reduced overall energy consumption, enhanced server performance by preventing thermal throttling, and significantly improved computing density. It also leads to greater system reliability, extended hardware lifespan, and substantial long-term operational savings, contributing to a more sustainable and competitive data center infrastructure.
The most direct benefit, closely tied to cost savings, is the significant reduction in overall energy consumption. By drastically lowering the power required for cooling (fans, CRACs, chillers), a CPU/GPU waterblock solution improves the data center's Power Usage Effectiveness (PUE) closer to the ideal 1.0. This means a larger percentage of the electricity consumed goes directly to powering the IT equipment, rather than supporting infrastructure.
For a green data center, this reduction in energy consumption directly translates to a smaller carbon footprint and a more environmentally responsible operation. It helps data centers meet sustainability targets and comply with evolving environmental regulations, enhancing their public image and attracting eco-conscious clients.
Energy Metric | Impact of Waterblock Solution |
PUE | Significantly Lowered |
Total Energy | Reduced |
Carbon Footprint | Smaller |
A CPU/GPU waterblock solution unlocks the full potential of your server hardware. By preventing thermal throttling, it allows CPUs and GPUs to operate at their maximum boost clocks for extended periods, even under sustained heavy loads. This means:
Faster Workload Completion: AI training models complete quicker, simulations run faster, and data processing accelerates.
Higher Throughput: More tasks can be completed in the same amount of time, maximizing the return on your hardware investment.
Increased Computing Density: The compact nature and superior cooling capacity of waterblocks allow more powerful processors and more servers to be packed into each rack. This means more compute power per square foot, optimizing valuable data center real estate.
For AI clusters, where every ounce of performance matters, this enhanced performance and density are critical for maintaining a competitive edge.
Overheating is a leading cause of hardware failure and system instability. By maintaining consistently low and stable operating temperatures, a CPU/GPU waterblock solution dramatically improves the reliability of your server infrastructure:
Extended Hardware Lifespan: Reduced thermal stress on components like CPUs and GPUs means they last longer, delaying costly replacements.
Fewer Failures: Lower temperatures mitigate degradation mechanisms, leading to fewer unexpected component failures.
Increased Uptime: Fewer hardware failures and thermal-induced crashes mean higher system uptime, which is crucial for mission-critical applications and revenue generation.
This enhanced reliability translates into less maintenance, fewer emergency repairs, and a more stable environment for your operations.
The combination of reduced energy costs, extended hardware lifespan, and improved reliability leads to substantial long-term operational savings. The initial investment in a CPU/GPU waterblock solution pays dividends over many years through:
Lower Total Cost of Ownership (TCO): Reduced electricity bills, fewer hardware replacements, and less maintenance contribute to a significantly lower TCO for your server infrastructure.
Future-Proofing: Liquid cooling provides the thermal headroom for future generations of high-TDP processors, allowing for seamless upgrades without needing a complete overhaul of the cooling system.
Sustainability Leadership: Positioning your data center as a leader in energy efficiency and environmental responsibility, which can attract new clients and meet corporate sustainability goals.
These comprehensive benefits underscore why a CPU/GPU waterblock solution is a strategic investment for any modern data center looking to optimize its operations for both performance and sustainability.
The escalating energy demands of modern servers, particularly in high-density AI clusters, necessitate a fundamental shift in thermal management strategies. A CPU/GPU waterblock solution stands out as a powerful and proven method to not only prevent overheating but also to significantly reduce server energy costs. By leveraging the superior heat transfer capabilities of liquid, these precision-engineered components cut down on fan and air conditioning loads, enable higher server density, and even open doors for innovative heat reuse. The result is a data center that is not only more energy-efficient but also more performant, reliable, and sustainable.
At KINGKA, we are dedicated to being your trusted partner in this journey towards greener, more efficient server infrastructure. With over 15 years of experience as a one-stop thermal solutions provider, we specialize in designing and manufacturing high-quality, custom cold plates and CPU/GPU waterblocks tailored to the exact needs of your enterprise. Our expertise in advanced microchannel designs, reliable materials, CNC precision manufacturing, and rigorous quality control ensures that our solutions deliver maximum thermal efficiency and unwavering reliability for your 24/7 workloads.
Don't let rising energy costs and overheating issues hold back your data center's potential. Explore our custom designs or consult with KingKa Tech's expert team today to discover how a tailored CPU/GPU waterblock solution can transform your server energy efficiency and drive your operational savings.