CÔNG TY TNHH CÔNG NGHỆ ZIITEK VIỆT NAM
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Your Professional & Reliable Partner.
CÔNG TY TNHH CÔNG NGHỆ ZIITEK VIỆT NAM is a high-tech enterprise which dedicated to the R&D, manufacture and sales of the thermal interface materials (TIMs). We have rich experiences in this field which can support you the latest, most effective and one -step thermal management solutions. We have many advanced production equipments,full test equipments and fully automatic coating production lines which can support the production for high performance thermal silicone pad, thermal graphite sheet/ ...
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Million+
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Million+
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China CÔNG TY TNHH CÔNG NGHỆ ZIITEK VIỆT NAM HIGH QUALITY
1. High-Quality Products: With over 20 years of experience, we offer best thermal interface materials(TIM). 2. Professional Guidance: ZIITEK team provides 1-to-1 service and technical guidance. 3. RoHS and Supplier Capability Assessment,company has strictly quality control system and professional test lab.
China CÔNG TY TNHH CÔNG NGHỆ ZIITEK VIỆT NAM DEVELOPMENT
1.Advanced Technology: Our team continuously explores emerging materials and advanced manufacturing processes. 2. Superior Product Design: Combine innovation with functionality to customize thermal interface materials to match your project. 3. Quality Assurance: All thermal interface materials with industry standards and undergo rigorous test.
China CÔNG TY TNHH CÔNG NGHỆ ZIITEK VIỆT NAM MANUFACTURING
1. Our factory was Inaugurated in 2006, spanning 10,000 square meters square meters 2. Our employing more than 1,000 people. 3. Advanced automatic machines, strictly process control system. Catering to both domestic and international markets, Ziitek offers customized services.
China CÔNG TY TNHH CÔNG NGHỆ ZIITEK VIỆT NAM 100% SERVICE
1. Online-service : 12 hours , Inquiry reply within fastest. 2. Working time: 8:00am - 5:30pm, Monday to Friday (UTC+8). 3. After-service: Even our products have passed strict inspection, if you find the parts can not work well, we will help you to deal with it and give you satisfactory solution.

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How to Reduce GPU Hotspots in High-Power Computing Systems
How to Reduce GPU Hotspots in High-Power Computing Systems Introduction As Artificial Intelligence (AI), machine learning, and high-performance computing (HPC) continue to evolve, GPUs are required to handle increasingly intensive workloads. Higher power consumption and greater computing density generate significant heat, making thermal management a critical challenge in modern computing systems.   One common issue is GPU hotspots—localized areas where temperatures are significantly higher than surrounding regions. If not properly managed, these hotspots can lead to thermal throttling, reduced computing performance, and potential reliability issues. Effective thermal interface materials (TIMs) and optimized cooling designs play an essential role in reducing GPU hotspots and maintaining stable system operation. 1. Understand the Causes of GPU Hotspots GPU hotspots typically occur when heat is concentrated in specific areas of the GPU package, particularly around high-power processing units, memory chips, and voltage regulator modules (VRMs).   Several factors contribute to this issue: Uneven heat distribution: Different GPU components generate varying amounts of heat. Air gaps between surfaces: Microscopic gaps between components and heatsinks increase thermal resistance. Insufficient thermal interface materials: Poor material selection or inadequate compression can reduce heat transfer efficiency. High power density: AI accelerators and high-performance GPUs generate substantial heat within compact spaces. Identifying these factors is the first step toward developing an effective thermal management solution. 2. Optimize Thermal Interface Materials (TIMs) Thermal interface materials help fill microscopic air gaps between heat-generating components and cooling structures, improving heat transfer efficiency.   Selecting the right TIM is essential for reducing GPU hotspots.   Thermal Pads: Soft and compressible thermal pads provide reliable thermal contact between GPUs, memory modules, VRMs, and heatsinks. They are particularly suitable for applications with varying component heights and uneven surface gaps. Thermal Grease: Thermal grease offers low thermal resistance for applications requiring thin bond lines and close contact between surfaces. Thermal Gel: Dispensing thermal gel provides flexibility for complex geometries and automated assembly processes, making it suitable for high-density electronic systems.   When selecting TIMs, engineers should consider thermal conductivity, softness, compressibility, thickness, dielectric properties, and long-term reliability—not just thermal conductivity alone. 3. Improve Heat Spreading and Cooling Design Effective hotspot control requires more than high-performance thermal materials. Engineers can improve GPU thermal performance through several design approaches: Optimize heatsink structures to increase effective heat dissipation. Use vapor chambers or heat pipes to spread concentrated heat across a larger surface area. Improve airflow paths and fan configurations in air-cooled systems. Consider liquid cooling solutions for high-power AI servers and HPC applications. Ensure consistent contact pressure between thermal components and cooling structures. Combining optimized cooling structures with suitable TIMs helps reduce localized temperature differences and improve overall thermal performance. 4. Ensure Long-Term Thermal Reliability GPU thermal management must remain effective throughout the product lifecycle. Thermal interface materials should maintain stable contact under repeated thermal cycling, mechanical vibration, and long-term operating conditions.   Important material properties include: Low thermal resistance Excellent compressibility and surface conformity Low compression set Good aging and thermal stability Reliable electrical insulation when required These characteristics help minimize interface degradation and maintain consistent heat transfer performance. 5. ZIITEK Thermal Solutions for GPU and AI Server Applications ZIITEK specializes in thermal interface materials designed for demanding electronic thermal management applications.   Our product portfolio includes thermal conductive pads, thermal gels, thermal greases, and phase change materials. These solutions help improve thermal contact between GPUs, HBM memory, VRMs, CPUs, and heatsinks in high-performance computing systems.   With different thermal conductivity levels, thicknesses, and hardness options, ZIITEK provides flexible material solutions to meet diverse thermal design requirements.   Whether for AI servers, GPU workstations, data centers, or high-power computing equipment, selecting the appropriate thermal interface material is an important step toward achieving efficient and reliable thermal management. Conclusion Reducing GPU hotspots requires a comprehensive thermal management strategy that combines effective heat spreading, optimized cooling structures, and suitable thermal interface materials.   By addressing localized heat concentration and minimizing thermal resistance, engineers can improve GPU operating stability, reduce thermal throttling risks, and support the growing performance demands of AI and high-performance computing systems.   Looking for reliable thermal interface materials for GPU and AI server applications? Contact ZIITEK to explore suitable thermal management solutions for your project.  
Ultra-Soft Thermal Pads for HBM, VRM and High-Density AI Servers
Ultra-Soft Thermal Pads for HBM, VRM and High-Density AI Servers Meeting the Thermal Challenges of Next-Generation AI Computing The rapid development of artificial intelligence (AI), machine learning, and high-performance computing has significantly increased the power density of modern servers. Advanced AI servers equipped with HBM (High Bandwidth Memory), GPUs, VRMs, and AI accelerators generate tremendous heat within extremely compact spaces.   Traditional thermal interface materials may struggle to meet the requirements of these applications due to limited compressibility, insufficient surface contact, and increased mechanical stress on sensitive components. To address these challenges, ultra-soft thermal pads have become an ideal thermal management solution for high-density computing systems.   ZIITEK’s ultra-soft thermal pads provide excellent thermal performance while maintaining low compression force, enabling efficient heat transfer and reliable operation for advanced AI hardware. Why Ultra-Soft Thermal Pads Are Essential for AI Servers 1. Excellent Conformability for Complex Component Gaps AI server structures often contain uneven surfaces, microscopic gaps, and different component heights between heat sources and cooling systems.   Ultra-soft thermal pads feature high flexibility and compressibility, allowing them to closely conform to irregular surfaces and maximize contact area. This helps minimize thermal resistance and improves heat dissipation efficiency.   For applications such as HBM stacks, VRM modules, GPU power components, and server cooling assemblies, soft thermal pads provide better interface contact compared with conventional rigid materials. 2. Low Compression Stress Protects Sensitive Components Modern AI processors and memory packages are becoming increasingly sophisticated and fragile. Excessive mechanical pressure during assembly may cause component deformation or reliability issues.   Ultra-soft thermal pads are designed with low compression stress, reducing mechanical load on delicate electronic components while maintaining stable thermal performance.   This makes them particularly suitable for: High-performance GPUs HBM memory modules VRM power circuits AI accelerator cards Data center server systems 3. High Thermal Conductivity for Increasing Heat Loads As AI workloads continue to grow, chip power consumption and heat generation are increasing rapidly. Efficient thermal management has become a critical factor affecting system performance and reliability. ZIITEK thermal pads are available with various thermal conductivity options to meet different cooling requirements. Combined with excellent softness and conformability, these materials help transfer heat effectively from electronic components to heat sinks, cold plates, or liquid cooling systems. Ultra-Soft Thermal Pads for HBM and VRM Cooling Applications HBM Thermal Management High Bandwidth Memory (HBM) plays a critical role in AI computing platforms by providing extremely high data transfer rates. However, HBM packages generate significant heat in a limited area. Ultra-soft thermal pads help provide: Improved contact between HBM modules and cooling structures Reduced thermal resistance Stable performance under continuous AI workloads VRM Thermal Management Voltage Regulator Modules (VRMs) are essential for supplying stable power to high-performance processors. During intensive computing operations, VRMs can generate substantial heat. A soft and reliable thermal pad solution helps efficiently transfer VRM heat to heat spreaders, chassis structures, or cooling plates, improving overall server reliability. ZIITEK Thermal Solutions for High-Density AI Servers With extensive experience in thermal interface materials (TIMs), ZIITEK provides customized thermal solutions for advanced electronic applications, including: AI servers and data centers GPU computing platforms High-performance workstations Automotive electronics Industrial control systems ZIITEK ultra-soft thermal pads can be customized in thickness, size, hardness, and thermal conductivity to meet different application requirements.   Key advantages include: ✔ Ultra-soft and highly compressible design ✔ Excellent surface conformability ✔ Low mechanical stress on components ✔ Reliable long-term thermal performance ✔ Custom die-cut shapes available Conclusion: Enabling Efficient Cooling for Future AI Infrastructure As AI servers continue to evolve toward higher computing density and greater power consumption, advanced thermal management solutions are becoming increasingly important.   Ultra-soft thermal pads provide an effective balance between thermal conductivity, flexibility, and mechanical protection, making them an ideal choice for HBM, VRM, GPU, and high-density AI server applications.   ZIITEK is committed to developing high-performance thermal interface materials that help customers achieve reliable cooling performance and support the next generation of AI computing technologies.   Contact ZIITEK today for customized ultra-soft thermal pad solutions for your AI server thermal management needs.
Thermal Interface Materials for Cold Plate Cooling: A Practical Guide
Thermal Interface Materials for Cold Plate Cooling: A Practical Guide For high-power AI servers, power electronics and liquid cooling systems   As power density surges in GPUs, ASICs and power modules, cold plate liquid cooling has become the mainstream thermal solution to replace traditional air cooling. Many engineers focus on cold plate structure, channel design and coolant selection, yet overlook a decisive link in the heat transfer chain: thermal interface materials (TIMs). Even a precision-machined cold plate cannot achieve perfect contact with the component surface. Microscopic gaps filled with air create extra thermal resistance and bottleneck heat dissipation. The right TIM displaces trapped air, fills surface irregularities, and builds a continuous, stable thermal path from die to cold plate. This practical guide helps you select, validate and deploy TIMs reliably for cold plate cooling systems.   Why TIM Performance Makes or Breaks Cold Plate Cooling The heat flow path in cold plate cooling follows a simple sequence: heat source → TIM → cold plate → circulating coolant. The cold plate itself only performs well when the interface stays low-resistance and stable over the product lifecycle. In cold plate applications, TIMs face harsher challenges than air-cooled scenarios: repeated thermal cycling, assembly compression, mechanical vibration, package warpage, and long-term risk of pump-out, dry-out or material migration. A poor TIM choice leads to rising junction temperature, unexpected thermal throttling, reduced computing uptime, accelerated component ageing and even premature field failure. For high-density AI computing, EV power converters and industrial high-power equipment, consistent interface performance is non-negotiable. Common TIM Types for Cold Plate Cooling: Match Material to Application No single thermal interface material fits all cold plate designs. Each category carries trade-offs in thermal resistance, BLT (bond line thickness), compressibility, reworkability, electrical insulation and long-term reliability.   Thermal Grease Offers ultra-thin bond line and very low thermal resistance for flat, rigid interfaces such as GPU integrated heat spreaders. It wets metal surfaces well under assembly pressure. Main drawbacks: pump-out risk after thousands of thermal cycles, messy dispensing and limited rework suitability. Best for controlled, low-warpage, high-volume assembly.   Phase Change Materials (PCM) Solid or semi-solid at room temperature; softens at designed phase-change temperature to conform tightly to mating surfaces. Balances low thermal resistance and less pump-out risk than grease. Easy to handle as preform sheets, cleaner in mass production. Widely adopted for AI server cold plates with moderate warpage.   Thermal Gel Single-component, dispensable, non-curing gel. Self-filling for variable gaps around HBM, VRMs and uneven surfaces. Good vibration resistance, reworkable and compatible with automated dispensing lines. Ideal for mixed-component cold plate assemblies where gap heights vary across the interface area.   Thermal Pads Solid, pre-cut sheets with controlled hardness and compression. Simple stacking, no contamination, excellent electrical insulation. Suited for larger, uneven gaps or components requiring cushioning. Note: thicker pads bring higher inherent thermal resistance, so specify the minimum usable thickness for your pressure window. Special TIMs (Liquid Metal, Solder TIM) Deliver industry-leading thermal resistance for extreme heat flux scenarios. However, they impose strict process constraints, carry electrical short risks and demand special handling. Reserved for premium high-performance systems with dedicated process controls.   Core Selection Checklist for Cold Plate TIMs Use these practical criteria to narrow down candidates instead of choosing by thermal conductivity alone: Target thermal resistance and BLT: Define the required bond line thickness under your actual assembly torque / pressure. Thermal conductivity is only meaningful at the compressed working thickness. Surface flatness and warpage: Severe die or cold plate warpage needs compliant materials such as gel or soft PCM, not thin grease. Pressure budget: Check TIM compression curve against your mounting hardware; avoid over-compression that damages chips or under-compression that leaves voids. Thermal cycling and lifetime requirement: Prioritize pump-out resistance, thermal stability and ageing data for data centre and 24/7 continuous operation. Electrical property: Confirm isolation requirements; conductive TIMs must never touch exposed circuits. Manufacturing flow: Evaluate dispensing, stencil printing, pick-and-place, rework and cleaning compatibility for your production line. Material compatibility: Verify no chemical interaction with cold plate surface finishes (Ni, Au, passivation), sealants and coolant vapour exposure.   Best Practices for Assembly & Validation Selection is half the work; proper integration unlocks the material’s rated performance. Control surface cleanliness: oil, release agent and dust create voids and raise thermal resistance. Standardise torque and pressure distribution: uneven clamping leads to local high resistance and hotspots. Characterise in the real system: bench thermal resistance tests in isolation often deviate from final cold plate assembly results. Run thermal cycling validation under representative power and temperature profiles. Monitor for degradation markers: rising junction delta-T after long-run testing signals pump-out, drying or delamination. Keep serviceability in mind: data centre cold plates that require field maintenance prefer reworkable gel or pad solutions over permanent bonding TIMs.   Tailored TIM Solutions for Your Cold Plate Projects Cold plate cooling is not one-size-fits-all, and neither is thermal interface material. Whether you design high-power GPU cold plates for AI racks, power module liquid cooling for energy conversion, or compact cold plates for transportation electronics, the optimal TIM stack balances thermal performance, manufacturability and long-term reliability. Our thermal engineering team supports material recommendation, sample validation, process guidance and custom formulation matching your cold plate design parameters, power loads and qualification standards. Turn thermal interface uncertainty into predictable, stable cooling performance. Contact our thermal experts today to review your cold plate specification and identify the best TIM solution for your application.

2026

10/23

How to Select Thermal Pad Thickness for AI Server Applications
How to Select Thermal Pad Thickness for AI Server Applications As AI servers continue to handle increasingly demanding workloads, effective thermal management has become essential for maintaining system performance and reliability. GPUs, CPUs, AI accelerators, and power components generate significant heat during operation. Choosing the right thermal pad thickness helps improve heat transfer, reduce thermal resistance, and maintain stable contact between components and heat sinks. But how do you select the right thermal pad thickness for AI server applications? 1. Understand the Gap Between Components and Heat Sinks The first step is to measure the actual gap between the heat-generating component and the heat sink or cold plate. This gap may vary depending on component height, PCB layout, assembly tolerances, and mechanical deformation. A thermal pad that is too thin may not fill the gap completely, resulting in air pockets and poor thermal contact. A pad that is too thick may require excessive compression force, potentially placing unwanted stress on sensitive electronic components. For AI servers with multiple GPUs or high-power processors, accurate gap measurement is particularly important for consistent thermal performance. 2. Consider Thermal Conductivity and Compression Thermal pad thickness should not be selected based on thermal conductivity alone. The material's compressibility, hardness, and thermal resistance are also important. A softer thermal pad can conform to uneven surfaces with lower pressure, while a pad with excessive hardness may require greater assembly force. Selecting a material with suitable compression characteristics helps establish reliable contact without damaging components. In general, a thinner thermal pad may offer lower thermal resistance when other properties remain comparable. However, the best choice depends on the actual gap, contact pressure, surface conditions, and operating requirements. 3. Match Thickness to AI Server Components Different AI server components require different thermal interface solutions. GPUs and AI accelerators: Select thickness based on package height, heat sink design, and assembly tolerances. CPUs and power modules: Evaluate the interface gap and required thermal resistance under operating conditions. Memory modules and surrounding components: Consider component height variations and the available mounting pressure. VRMs and other power components: Choose a pad that provides reliable contact while accommodating different component heights. For assemblies with components at different heights, multiple pad thicknesses may be required to achieve consistent thermal contact across the board. 4. Validate Thickness Under Real Operating Conditions Before finalizing a thermal pad, engineers should evaluate thermal performance under representative workloads and assembly conditions. Key factors include operating temperature, compression ratio, mounting pressure, electrical insulation requirements, and long-term reliability. Testing different thicknesses can help identify the most suitable balance between heat transfer, mechanical stress, and assembly convenience. For high-performance AI servers, validation under actual system conditions is more reliable than selecting a pad based on thickness or thermal conductivity alone. 5. Choose the Right Thermal Pad with ZIITEK Selecting the right thermal pad thickness is a balance between gap dimensions, thermal performance, compressibility, and mechanical design. A properly selected thermal interface material helps support efficient heat dissipation and reliable AI server operation.   ZIITEK provides thermal management materials for demanding electronic applications, including thermal pads and other thermal interface solutions for GPUs, CPUs, AI accelerators, and data center equipment.   Contact ZIITEK to discuss your application requirements and identify a suitable thermal pad based on your target thickness, thermal conductivity, component gap, and assembly conditions.

2026

10/09

ZIITEK TIF® 100N 8085-06: Low-Dielectric Thermal Management Solution for 5G, AI Computing, and High-Frequency Electronics
ZIITEK TIF® 100N 8085-06: Low-Dielectric Thermal Management Solution for 5G, AI Computing, and High-Frequency Electronics With the rapid development of 5G communications, millimeter-wave radar, AI computing, and high-performance computing, electronic devices are becoming increasingly high-frequency, power-dense, and highly integrated. As electronic components generate more heat, efficient thermal management becomes essential, while thermal interface materials must also meet the electrical and high-frequency performance requirements of modern electronics. To address these demands, ZIITEK TIF®100N 8085-06 Low-Dielectric Thermal Pad combines high thermal conductivity, low dielectric properties, and excellent electrical insulation, providing a reliable thermal management solution for high-frequency and high-performance electronic devices. 1. AI Computing Servers: Managing Heat from High-Power Chips With the rapid growth of artificial intelligence, large AI models, and data centers, high-performance chips such as GPUs, CPUs, and ASICs in AI computing servers are required to process massive amounts of data. As chip power density continues to increase, efficient thermal management has become increasingly important. High-performance thermal interface materials can fill microscopic gaps between chips and heat sinks, helping establish an efficient and stable thermal transfer path.   Developed by ZIITEK, TIF®100N 8085-06 provides a thermal conductivity of up to 8.0 W/m·K and can be used for thermal interface management in AI servers and high-performance computing equipment. Its low-dielectric and electrical insulation properties provide a comprehensive TIM solution for advanced electronic devices. 2. 5G Base Stations: Thermal Management for High-Frequency Communication Equipment RF modules and power components in 5G base stations need to operate reliably for extended periods, while high-power operation generates continuous heat.TIF®100N 8085-06 combines 8.0 W/m·K thermal conductivity, low dielectric properties, and electrical insulation, making it suitable for thermal interface applications in communication equipment. The material helps transfer heat from heat-generating components to heat dissipation structures. 3. Millimeter-Wave Radar: Balancing Thermal Management and High-Frequency Signal Performance Millimeter-wave radar systems contain high-frequency electronic components that require thermal interface materials with both high thermal conductivity and suitable dielectric properties.TIF®100N 8085-06 features a dielectric constant of 4.0 @1MHz. Its low-dielectric design helps reduce energy loss during high-frequency signal transmission, while its 8.0 W/m·K thermal conductivity supports efficient heat transfer from electronic components. 4. RF Power Amplifiers: Combining Thermal Conductivity and Electrical Insulation RF power amplifiers generate significant heat during operation and require thermal interface materials with excellent thermal and electrical insulation performance.TIF®100N 8085-06 has a volume resistivity of >1.0×10¹² Ohm·cm and a dielectric breakdown strength of ≥3000 V/mm, helping provide efficient heat transfer while meeting electrical insulation requirements. 5. Semiconductor Microwave Components: Adaptable to Different Structural Designs Semiconductor microwave components typically feature highly integrated structures and require thermal materials with balanced thermal, electrical, and high-frequency performance. TIF®100N 8085-06 features a ceramic-filled silicone rubber construction and is available in standard thicknesses from 0.30 to 3.00 mm. The material can also be die-cut into different shapes to meet specific product and assembly requirements. 6. Product Features: Combining High Thermal Conductivity with Low Dielectric Properties To meet the comprehensive requirements of high-frequency and high-performance electronic devices, ZIITEK TIF®100N 8085-06 offers: 8.0 W/m·K high thermal conductivity Low dielectric properties, dielectric constant of 4.0 @1MHz Excellent electrical insulation UL94 V-0 flame retardancy Recommended operating temperature range of -40°C to 200°C Standard thicknesses from 0.30 to 3.00 mm Die-cutting and custom shape processing available Excellent weather resistance, aging resistance, and long-term reliability 7. ZIITEK: Focused on High-Performance Thermal Management Materials From AI computing servers, 5G base stations, millimeter-wave radar, and RF power amplifiers to semiconductor microwave components, different electronic products have different requirements for thermal interface materials.ZIITEK focuses on the research, development, and application of Thermal Interface Materials (TIMs), providing application-oriented thermal management solutions through different thermal conductivity levels, thicknesses, and material technologies.With 8.0 W/m·K thermal conductivity, low dielectric properties, electrical insulation, and reliable performance, TIF®100N 8085-06 provides comprehensive thermal management support for AI computing, high-frequency communications, and high-performance electronic devices.

2026

09/04