| 1. | EXECUTIVE SUMMARY |
| 1.1. | TDP Trend: Historic Data and Forecast Data - GPU |
| 1.2. | TDP Trend: Historic Data and Forecast Data - CPU |
| 1.3. | Ever increasing data center power demand and thermal demand |
| 1.4. | Cooling Methods Overview |
| 1.5. | Different Cooling on Chip Level |
| 1.6. | Yearly Revenue Forecast By Cooling Method: 2022-2036 |
| 1.7. | Summary of Yearly Revenue Forecast for Liquid Cooling: 2022-2036 |
| 1.8. | Summary of Yearly Revenue Forecast for Liquid Cooling Data: 2022-2036 |
| 1.9. | Cost analysis of cooling systems |
| 1.10. | Yearly Immersion Cooling Revenue Forecast: 2022 - 2036 |
| 1.11. | Cooling Technology Comparison |
| 1.12. | Data Center Efficiency - Analytical Evolution |
| 1.13. | Air Cooling |
| 1.14. | Liquid Cooling - Direct-to-Chip/Cold Plate and Immersion |
| 1.15. | Liquid Cooling - Single-Phase and Two-Phase |
| 1.16. | Heat dissipation path for two-phase D2C cooling |
| 1.17. | Yearly Number of Single- and Two-Phase Cold Plates Forecast: 2022-2036 |
| 1.18. | Immersion Tank Yearly Number Forecast: 2022-2036 |
| 1.19. | Coolant Comparison |
| 1.20. | Coolant Comparison - PFAS Regulations |
| 1.21. | Coolant Distribution Units (CDU) |
| 1.22. | Heat Transfer - Thermal Interface Materials (TIMs) (1) |
| 1.23. | Heat Transfer - Thermal Interface Materials (TIMs) (2) |
| 1.24. | Cooling cost analysis |
| 1.25. | OPEX and TCO Estimation |
| 1.26. | Pricing of Direct-to-Chip, Immersion and Air Cooling - US$/Watt |
| 2. | INTRODUCTION |
| 2.1. | Overview |
| 2.1.1. | Ever increasing data center power demand and thermal demand |
| 2.1.2. | Data Center Equipment - Top Level Overview |
| 2.1.3. | Data Center Server Rack and Server Structure |
| 2.1.4. | Power Use Effectiveness |
| 2.1.5. | Data Center Switch Topology - Three Layer and Spine-Leaf Architecture |
| 2.1.6. | K-ary Fat Tree Topology |
| 2.2. | Data Center Thermal Management Overview |
| 2.2.1. | Thermal Management Needs for Data Centers |
| 2.2.2. | Significant Consequences for Data Center Downtime |
| 2.2.3. | Data Center Location Choice |
| 2.2.4. | Increasing TDP Drives More Efficient Thermal Management |
| 2.2.5. | Overview of Thermal Management Methods for Data Centers |
| 2.2.6. | Thermal Management Categorization |
| 2.3. | Thermal Design Power (TDO) Evolution |
| 2.3.1. | Historic Data of TDP - GPU |
| 2.3.2. | TDP Trend: Historic Data and Forecast Data - CPU |
| 2.3.3. | Nvidia's Chips TDP Trend |
| 3. | THERMAL MANAGEMENT METHODS |
| 3.1. | Introduction to Data Center Cooling Classification |
| 3.2. | Cooling Technology Comparison (1) |
| 3.3. | Cooling Technology Comparison (2) |
| 3.4. | Air Cooling |
| 3.5. | Hybrid Liquid-to-Air Cooling |
| 3.6. | Hybrid Liquid-to-Liquid Cooling |
| 3.7. | Hybrid Liquid-to-Refrigerant Cooling |
| 3.8. | Hybrid Refrigerant-to-Refrigerant Cooling |
| 4. | AIR COOLING |
| 4.1. | Overview |
| 4.1.1. | Introduction to Air Cooling (1) |
| 4.1.2. | Introduction to Air Cooling (2) |
| 4.1.3. | Benefits and Drawbacks of Air-Cooling Methods |
| 4.1.4. | Use Case: Row-Level Cooling Liebert® CRV CRD25 |
| 4.1.5. | Overview: RDHx |
| 4.1.6. | Hybrid Air-to-Liquid Cooling - nVent |
| 4.1.7. | Cooling Tower - Adiabatic Cooling |
| 4.1.8. | Balance Between Water Use and Power Use - Case by Case in Practice |
| 4.1.9. | Use Case: Jaeggi - Adiabatic and Hybrid Dry Coolers |
| 4.1.10. | Trend for Air Cooling in Data Centers |
| 4.2. | Air Cooling Forecasts |
| 4.2.1. | Percentage of Air-Cooled Racks |
| 4.2.2. | TCO Comparison |
| 5. | LIQUID COOLING OVERVIEW |
| 5.1. | Liquid Cooling and Immersion Cooling |
| 5.2. | Comparison of Liquid Cooling Technologies (1) |
| 5.3. | Comparison of Liquid Cooling Technologies (2) |
| 5.4. | Liquid Cooling - Power Limitation of Different Cooling on Rack Level |
| 5.5. | Different Cooling on Chip Level |
| 5.6. | Data Center By Power |
| 5.7. | Liquid-Cooled Data Center Server Rack by Power |
| 5.8. | Liquid-Cooled Data Center Server Rack by Power |
| 6. | COLD PLATES |
| 6.1. | Overview |
| 6.1.1. | Cold Plate/Direct to Chip Cooling - Standalone Cold Plate |
| 6.1.2. | Liquid Cooling Cold Plates |
| 6.1.3. | Cold Plate/Direct to Chip Cooling in Server Boards |
| 6.1.4. | Benefits and Drawbacks of Cold Plate Cooling |
| 6.1.5. | Cold Plate Requirements |
| 6.1.6. | Considerations for Cold Plate Design (1) |
| 6.1.7. | Considerations for Cold Plate Design (2) |
| 6.1.8. | Thermal Cost Analysis of Cold Plate System - (1) |
| 6.1.9. | Thermal Cost Analysis of Cold Plate System - (2) |
| 6.1.10. | Performance comparison of single-phase and two-phase D2C cooling |
| 6.1.11. | Cooling power density of single- and two-phase D2C cooling |
| 6.1.12. | Liquid Cooling Technology Definitions (1) |
| 6.1.13. | Liquid Cooling Technology Definitions (2) |
| 6.2. | Single-Phase Cold Plate |
| 6.2.1. | Single-Phase Cold Plate Considerations |
| 6.2.2. | IEI Integration Corp |
| 6.2.3. | Why Single-Phase Cold Plate Might Dominate |
| 6.2.4. | Use case: Nvidia silicone photonics co-packaged optics cold plate cooling |
| 6.3. | Two-Phase Cold Plate |
| 6.3.1. | Two-phase D2C - higher thermal performance but different hardware designs |
| 6.3.2. | Benefits of two-phase D2C (1/3) |
| 6.3.3. | Benefits of two-phase D2C (2/3) |
| 6.3.4. | Benefits of two-phase D2C (3/3) |
| 6.3.5. | Heat dissipation path for two-phase D2C cooling |
| 6.3.6. | Wieland Group - Two-Phase Evaporator/Cold Plate |
| 6.3.7. | Passive Cold Plate Cooling - Frigel & Neurok Thermocon |
| 6.3.8. | Examples: Direct-to-Chip Cooling |
| 6.3.9. | Tyson - Passive Two-Phase Cooling |
| 6.3.10. | Passive Loop Heat Pipes (LHP) |
| 6.3.11. | Use Case: Calyos |
| 6.3.12. | Direct Water-Cooled Server - ABB |
| 6.3.13. | Cold plate and component material selection for 2-phase cold plates |
| 6.3.14. | Thermal performance testing results - Accelsius |
| 6.4. | Cold Plate Forecast |
| 6.4.1. | Yearly Number of Cold Plate for AI and Non-AI Forecast: 2022-2036 |
| 6.4.2. | Yearly Number of Single- and Two-Phase Cold Plates Forecast: 2022-2036 |
| 6.4.3. | Market Share Forecast of Single- and Two-Phase Cold Plate: 2022-2036 |
| 6.4.4. | Yearly Number of Cold Plate For Non-AI (mainly HPC) Forecast: 2026-2036 |
| 6.4.5. | Yearly Number of Cold Plate For Non-AI (mainly HPC) Forecast Data Table: 2026-2036 |
| 6.4.6. | Total Cost Analysis of Cold Plate (Cold plate + QD + Manifold, Hoses, etc.) |
| 6.4.7. | GPU and CPU Cold Plate System Forecast: 2025-2036 |
| 6.4.8. | Yearly Revenue Forecast Summary of Cold Plate: 2022-2036 |
| 6.4.9. | Yearly Cold Plate Revenue Forecast: 2022-2036 |
| 6.4.10. | Yearly Revenue of Cold Plate of CPU and GPU: 2025-2035 |
| 6.5. | Summary of Cold Plate Cooling |
| 6.5.1. | Overview: Cold Plate |
| 6.5.2. | Cold Plate Structure |
| 6.5.3. | Benefits and Challenges of Cold Plate Cooling (1) |
| 6.5.4. | Benefits and Challenges of Cold Plate Cooling (2) |
| 6.5.5. | Limitations of Cold Plate Cooling |
| 6.5.6. | Summary of Cold Plate Cooling - Considerations |
| 6.5.7. | Thermal Cost Analysis of Cold Plate System - (1) |
| 6.5.8. | Thermal Cost Analysis of Cold Plate System - (2) |
| 7. | SPRAY COOLING |
| 7.1. | Introduction to Spray Cooling |
| 7.2. | Advanced Liquid Cooling Technologies (ALCT) - Spray Cooling |
| 8. | IMMERSION COOLING |
| 8.1. | Overview |
| 8.1.1. | Single-Phase and Two-Phase Immersion - Overview (1) |
| 8.1.2. | Single-Phase Immersion Cooling (2) |
| 8.1.3. | SWOT: Single-Phase Immersion Cooling |
| 8.1.4. | Overview: Two-Phase Immersion Cooling |
| 8.1.5. | SWOT: Two-Phase Immersion Cooling |
| 8.2. | Single Phase |
| 8.2.1. | Use Case: Iceotope - Direct-to-Chip + Immersion |
| 8.2.2. | Use Case: LiquidCool Solutions - (1) |
| 8.2.3. | Use Case: LiquidCool Solutions - (2) |
| 8.2.4. | Use Case: Green Revolution Cooling (GRC) |
| 8.2.5. | nVent/Iceotope and LiquidCool Solutions - Limited Differentiation |
| 8.2.6. | DCX Liquid Cooling - Immersion |
| 8.3. | Two-Phase |
| 8.3.1. | Wieland - Two-Phase Immersion Cooling |
| 8.3.2. | Two-Phase Cooling - Phase Out Before Starting to Take Off? |
| 8.3.3. | Roadmap of Two-Phase Immersion Cooling |
| 8.3.4. | Roadmap of Single-Phase Immersion Cooling |
| 8.3.5. | Examples: Immersion |
| 8.3.6. | Use-Case: Iceotope and Meta |
| 8.3.7. | Use-Case: Microsoft |
| 8.3.8. | Use-Case: Microsoft Halted its Underwater Data Centers |
| 8.3.9. | Asperitas |
| 8.3.10. | Gigabyte |
| 8.3.11. | Summary (1) - Benefits of Immersion Cooling |
| 8.3.12. | Summary (2) - Challenges of Immersion Cooling |
| 8.3.13. | Cost Saving Comparison - Immersion and Air Cooling |
| 8.3.14. | Comparison of Liquid Cooling Methods |
| 8.3.15. | Pricing of Direct-to-Chip, Immersion and Air Cooling - US$/Watt |
| 8.3.16. | Immersion Tank Yearly Number Forecast: 2022-2035 |
| 8.3.17. | Immersion Cooling Revenue Forecast: 2022-2036 |
| 9. | MICROFLUIDIC COOLING |
| 9.1.1. | Benchmark Cooling Technologies for HPC |
| 9.1.2. | Microfluidic Overview |
| 9.1.3. | Benchmark of Cooling Configurations for HPC Packages |
| 9.1.4. | Microchannel studies - performance benchmark |
| 9.1.5. | Design Principles and Challenges of Microchannel Heat Sink Architecture - 1 |
| 9.1.6. | Design Principles and Challenges of Microchannel Heat Sink Architecture - 2 |
| 9.1.7. | Wafer-Level Microchannel Integration for Cooling |
| 9.1.8. | Thermal Design Considerations and Coolant Selection for Microchannel Systems |
| 9.1.9. | Barriers to Microchannel Integration and System Adoption |
| 9.1.10. | Microsoft - Integrated Silicon Microfluidic Cooling |
| 9.1.11. | Microfluidics Cooling Heatsink Structure and Manufacture |
| 9.1.12. | On-package liquid cooling for HPC |
| 9.1.13. | imec - microfluidic cooling (1/2) |
| 9.1.14. | imec - microfluidic cooling (2/2) |
| 9.1.15. | Intel foundry thermal capabilities with TIM options and in-package liquid cooling |
| 9.1.16. | IBM z17 |
| 9.1.17. | Microfluidic cooling ASP unit forecast: 2026-2036 |
| 10. | COOLANT |
| 10.1. | Immersion Coolant |
| 10.1.1. | Introduction to Cooling Fluid |
| 10.1.2. | Coolant Fluid Comparison - Operating Temperature |
| 10.1.3. | Thermal conductivity of coolant |
| 10.1.4. | Trend - Decline in Fluorinated Chemicals? |
| 10.1.5. | Immersion Coolant Liquid Suppliers |
| 10.1.6. | Engineered Fluids - Why Better Than Oils |
| 10.1.7. | What is the Roadmap for Coolant in Two-Phase Cooling? |
| 10.1.8. | Honeywell R-1233zd and Chemours' Opteon SF33 |
| 10.1.9. | Demand for Immersion Coolant Standardization - FOMs |
| 10.1.10. | Figures of Merit (FOM) |
| 10.1.11. | Force Convection FOM for Single-Phase Immersion |
| 10.1.12. | FOM3 - Viscosity for Pressure Drop |
| 10.1.13. | Density |
| 10.1.14. | Signal Integrity Evaluations |
| 10.1.15. | Global Warming Potential (GWP) |
| 10.1.16. | Material Compatibility Guide - Immersion Coolant and TIMs/Adhesives |
| 10.1.17. | Material Compatibility Guide - Seals/Gaskets/O-Rings and Immersion Coolant |
| 10.1.18. | Material Compatibility Guide - Plastics and Immersion Coolant |
| 10.1.19. | Material Compatibility Guide - Pipe & Fitting and Immersion Coolant |
| 10.1.20. | Material Compatibility Guide - Metal and Immersion Coolant |
| 10.1.21. | Yearly Coolant Volume for Immersion: 2022-2036 |
| 10.1.22. | Overview of PFAS Types, Post-PFAS Blends, PFAS-Free Data Center Coolant Alternatives |
| 10.1.23. | Mapping Refrigerants in Use and Technology Trends |
| 10.1.24. | Adoption Forecasts and Performance Assessment |
| 10.1.25. | Comparative Advantages and Limitations |
| 10.1.26. | Regulatory barriers |
| 10.1.27. | Classes of different refrigerants |
| 10.2. | D2C Coolant |
| 10.2.1. | Refrigerants for two-phase DLC (1/2) |
| 10.2.2. | Refrigerants for two-phase DLC (2/2) |
| 10.2.3. | Compatibility for thermoplastics and elastomers |
| 10.2.4. | Properties of PG-based coolant for single-phase D2C |
| 11. | SUPPLY CHAIN, PARTNERSHIPS AND ROADMAP |
| 11.1.1. | Data Center Cooling Value Chain |
| 11.1.2. | Cooling Solution Partner |
| 11.1.3. | Summary of a few cooling solution suppliers |
| 11.1.4. | Summary of key companies and their customers |
| 11.1.5. | Summary of key ODMs and Cooling Component Suppliers |
| 11.1.6. | Market Share of Cold Plate Suppliers |
| 11.1.7. | Server Supply Chain |
| 11.1.8. | Cost Analysis of Server Cooling Components |
| 11.1.9. | Nvidia's Liquid Cooling Supply Chain - 2025 |
| 11.1.10. | Intel and Submer - Heat Reuse and Immersion Cooling |
| 11.1.11. | Iceotope, Intel and HPE |
| 11.1.12. | Iceotope, Schneider Electric, and Avnet - Liquid Cooled Data Center |
| 11.1.13. | GRC and Intel |
| 11.1.14. | GRC and Dell - Edge Deployment |
| 11.1.15. | Iceotope and Meta |
| 11.1.16. | Development of New Immersion Coolant - ElectroSafe |
| 11.1.17. | Partnership - how does the value chain look like? |
| 11.1.18. | Roadmap of Liquid Cooling Adoption |
| 11.1.19. | Data Center Cooling Solution - Roadmap |
| 12. | TOTAL COST OF OWNERSHIP ANALYSIS |
| 12.1. | Cooling cost analysis |
| 12.2. | OPEX and TCO Estimation |
| 12.3. | TCO Comparison - Payback Time |
| 12.4. | Pricing of Direct-to-Chip, Immersion and Air Cooling - US$/Watt |
| 12.5. | TCO Analysis of D2C with Chiller |
| 12.6. | TCO Analysis of 1-PIC with Chiller |
| 12.7. | TCO Analysis - 10 Year |
| 12.8. | Cooling System Cost - Direct to Chip Cooling Hardware |
| 12.9. | Immersion Cooling Cost - Componentry and Facility Level |
| 12.10. | Cooling System Cost - CDUs Hardware |
| 12.11. | Cost - Fluids |
| 12.12. | Cooling System Cost - Thermal Interface Materials |
| 13. | COOLANT DISTRIBUTION UNITS (CDUS) |
| 13.1. | Overview |
| 13.1.1. | Overview |
| 13.1.2. | Trend of in-row and in-rack CDUs |
| 13.1.3. | Redundancy - (1) |
| 13.1.4. | Redundancy - (2) |
| 13.1.5. | Liquid-to-Liquid (also known as L2L) CDUs |
| 13.1.6. | Liquid-to-Air CDUs |
| 13.1.7. | Summary of Liquid-to-Liquid and Liquid-to-Air Cooling |
| 13.1.8. | Vertiv - Liebert® XDU 60 Heat Exchanger and CDU - (1) |
| 13.1.9. | Vertiv - Liebert® XDU Heat Exchanger and CDU - (2) |
| 13.1.10. | CDU - nVent |
| 13.1.11. | CDU - CoolIT - Teardown (1) |
| 13.1.12. | CDU - CoolIT - Teardown (2) |
| 13.1.13. | CDU - CoolIT - Teardown (3) |
| 13.1.14. | CDU Teardown - Motivair |
| 13.1.15. | LiquidStack's Liquid-to-Liquid Coolant Distribution Unit (CDU) |
| 13.1.16. | Boyd - Cold Plate and CDUs (1/2) |
| 13.1.17. | Boyd - Cold Plate and CDUs (2/2) |
| 13.1.18. | CDU - Cooling Capacity Evaluation |
| 13.1.19. | Revenue Forecast of CDU: 2022-2036 |
| 13.2. | Main Pump |
| 13.2.1. | Overview |
| 13.2.2. | Redundancy Analysis |
| 13.3. | Filtering |
| 13.3.1. | Overview |
| 13.3.2. | Filters - Schematic Drawing |
| 13.3.3. | Filters |
| 13.4. | Sensors |
| 13.4.1. | Overview of Sensors |
| 13.4.2. | Leakage Detection Sensors - Overview |
| 13.4.3. | Leakage Detection Sensors on Server Nodes (1) |
| 13.4.4. | Leakage Detection Sensors on Server Nodes (2) |
| 13.5. | Quick Disconnects (QDs) |
| 13.5.1. | Overview of QDs |
| 13.5.2. | Wetted materials |
| 13.5.3. | Quick disconnects - costs and operating requirements |
| 13.6. | Heat Reuse |
| 13.6.1. | Overview of the Heat Reuse in Data Center Cooling |
| 13.6.2. | Use Case: Amazon Data Center Heat Reuse |
| 13.6.3. | Facebook (Now Meta) Data Center Heat Reuse |
| 13.6.4. | Tencent - Tianjin Data Center Heat For Municipal Heating |
| 13.6.5. | Return on Investment of Heat Reuse |
| 13.6.6. | More Examples of Heat Reuse |
| 13.6.7. | More Examples of Heat Reuse |
| 14. | HEAT TRANSFER - THERMAL INTERFACE MATERIALS (TIMS) |
| 14.1. | TIM2 Overview |
| 14.1.1. | Thermal Interface Materials in Data Centers |
| 14.1.2. | Common Types of TIMs in Data Centers - Line Card Level |
| 14.1.3. | TIMs in Data Centers - Line Card Level - Transceivers |
| 14.1.4. | TIMs in Server Boards |
| 14.1.5. | Server Board Layout |
| 14.1.6. | TIMs for Data Center - Server Boards, Switches and Routers |
| 14.1.7. | Data Center Switch Players |
| 14.1.8. | How TIMs are Used in Data Center Switches - FS N8560-32C 32x 100GbE Switch |
| 14.1.9. | WS-SUP720 Supervisor 720 Module |
| 14.1.10. | Ubiquiti UniFi USW-Leaf Switch |
| 14.1.11. | FS S5850-48S6Q 48x 10GbE and 6x 40GbE Switch |
| 14.1.12. | Cisco Nexus 7700 Supervisor 2E module |
| 14.1.13. | TIMs for Power Supply Converters (1): AC-DC and DC-DC |
| 14.1.14. | Data Center Power Supply System |
| 14.1.15. | TIMs for Data Center Power Supplies (2) |
| 14.1.16. | TIMs for Data Center Power Supplies (3) |
| 14.1.17. | TIMs in Data Center Power Supplies (4) |
| 14.1.18. | How TIMs are Used in Data Center Power Supplies (5) |
| 14.1.19. | How TIMs are Used in data center power supply (6) |
| 14.1.20. | TIMs for Data Centers - Power Supply Converters |
| 14.1.21. | Differences Between TIM Forms - (1) |
| 14.1.22. | Differences Between TIM Forms - (2) |
| 14.1.23. | Novel material - Laminar Metal Form with High Softness (1) |
| 14.1.24. | Novel material - Laminar Metal Form with High Softness (2) |
| 14.1.25. | TIM Trends in Data Centers |
| 14.1.26. | Estimating the TIM Areas in Server Boards |
| 14.1.27. | Servers Number Forecast: 2021-2035 |
| 14.1.28. | TIM Requirement in Immersion Cooling |
| 14.1.29. | Common TIMs for Immersion Cooling |
| 14.1.30. | Area of TIM per Switch |
| 14.1.31. | TIM Area for Leaf and Spine Switch |
| 14.1.32. | Yearly TIM Area for Leaf and Spine Switch Forecast: 2026-2036 |
| 14.1.33. | TIM Consumption in Data Center Power Supplies |
| 14.1.34. | Forecast summary - Yearly TIM Area (m2) Forecast for Different Data Center Components: 2026-2036 |
| 14.1.35. | Forecast summary - Yearly TIM Revenue (US$ millions) Forecast for Data Center Components: 2026-2036 |
| 14.2. | TIM1 and TIM1.5 in advanced semiconductor packaging |
| 14.2.1. | Thermal interface material inside the packaging - TIM1 |
| 14.2.2. | Potential TIM1 options in the future |
| 14.2.3. | TIM1 Considerations |
| 14.2.4. | Indium foil TIM1 - issues with multiple reflow process |
| 14.2.5. | Traditional and mature product - Shin-Estu X-23 series for BGA |
| 14.2.6. | Thermal Gel - Shin-Etsu MicroSi |
| 14.2.7. | TIM1 and TIM1.5 market size forecast for ASP: 2026-2036 |
| 15. | FORECAST SUMMARY |
| 15.1. | Yearly Revenue Forecast By Cooling Method: 2022-2036 |
| 15.2. | Yearly Revenue Forecast By Cooling Method - Data Table: 2022-2036 |
| 15.3. | Summary of Yearly Revenue Forecast for Liquid Cooling: 2022-2036 |
| 15.4. | Summary of Yearly Revenue Forecast for Liquid Cooling Data: 2022-2036 |
| 15.5. | Summary of Yearly Volume Forecast for Liquid Cooling: 2022-2036 |
| 15.6. | Summary of Yearly Volume Forecast for Cooling - Data Table: 2022-2036 |
| 16. | PROFILES |
| 16.1. | Accelsius — Two-Phase Direct-to-Chip Cooling |
| 16.2. | Amazon AWS Data Center |
| 16.3. | Arieca |
| 16.4. | Arieca |
| 16.5. | Asperitas Immersed Computing |
| 16.6. | Calyos: Data Center Applications |
| 16.7. | Engineered Fluids |
| 16.8. | Green Revolution Cooling (GRC) |
| 16.9. | Henkel: microTIM and data centers |
| 16.10. | LiquidCool Solutions — Chassis-Based Immersion Cooling |
| 16.11. | LiSAT |
| 16.12. | LiSAT |
| 16.13. | Nano-Join |
| 16.14. | NeoFan |
| 16.15. | Neurok Thermocon Inc |
| 16.16. | Parker Lord: Dispensable Gap Fillers |
| 16.17. | Resonac Holdings |
| 16.18. | Sumitomo Chemical Co., Ltd |
| 16.19. | Taybo (Shanghai) Environmental Technology Co., Ltd |
| 16.20. | Tyson |
| 16.21. | Vertiv Holdings - Data Center Liquid Cooling |
| 16.22. | ZutaCore |