1. | EXECUTIVE SUMMARY |
1.1. | Trend of Thermal Design Power (TDP) of GPUs |
1.2. | Cooling Methods Overview |
1.3. | Yearly Revenue Forecast by Cooling Approach: 2016-2033 |
1.4. | Air Cooling |
1.5. | Yearly Revenue of Air Cooling Forecast by Data Center Capacity: 2016-2033 |
1.6. | Liquid Cooling - Direct-to-Chip/Cold Plate and Immersion |
1.7. | Liquid Cooling - Single-Phase and Two-Phase |
1.8. | Cold Plate/Direct-to-Chip Cooling Revenue Forecast: 2016-2033 |
1.9. | Immersion Cooling Revenue Forecast 2016-2033 |
1.10. | Component Selection For Liquid Cooling |
1.11. | Coolant Comparison |
1.12. | Coolant Comparison - PFAS Regulations |
1.13. | Coolant Distribution Units (CDU) |
1.14. | Yearly CDU Sales Number Forecast: 2017-2033 |
1.15. | Heat Transfer - Thermal Interface Materials (TIMs) (1) |
1.16. | Heat Transfer - Thermal Interface Materials (TIMs) (2) |
1.17. | Yearly TIM Area Forecast by Data Center Component: 2021-2034 |
2. | INTRODUCTION |
2.1. | Data Center Overview |
2.1.1. | Introduction to Data Centers |
2.1.2. | Data Center Demographics |
2.1.3. | Data Center Equipment - Top Level Overview |
2.1.4. | Data Center Server Rack and Server Structure |
2.1.5. | Power Use Effectiveness |
2.1.6. | Data Center Switch Topology - Three Layer and Spine-Leaf Architecture |
2.1.7. | K-ary Fat Tree Topology |
2.2. | Thermal Management for Data Centers 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 Thermal Design Power (TDP) Drives More Efficient Thermal Management |
2.2.5. | Overview of Thermal Management Methods for Data Centers |
2.2.6. | Thermal Management Categorization |
3. | THERMAL DESIGN POWER (TDP) EVOLUTION |
3.1. | TDP Increases Over Time - GPU |
3.2. | Server Boards TDP Increases - Moore's Law |
4. | THERMAL MANAGEMENT METHODS |
4.1. | Overview |
4.1.1. | Introduction to Data Center Cooling Classification |
4.1.2. | Cooling Technology Comparison (1) |
4.1.3. | Cooling Technology Comparison (2) |
4.1.4. | Air Cooling |
4.1.5. | Hybrid Liquid-to-Air Cooling |
4.1.6. | Hybrid Liquid-to-Liquid Cooling |
4.1.7. | Hybrid Liquid-to-Refrigerant Cooling |
4.1.8. | Hybrid Refrigerant-to-Refrigerant Cooling |
4.1.9. | Server Board Number Forecast - Methodology (1) |
4.1.10. | Server Board Number - Methodology |
4.1.11. | Data Center Power Forecast |
4.1.12. | Data Center Number |
4.1.13. | Cooling Categorization By Data Center Capacity (1) |
4.1.14. | Cooling Categorization By Data Center Capacity (2) |
4.1.15. | Data Center Number Forecast by Capacity: 2016-2033 |
4.2. | Air Cooling |
4.2.1. | Introduction to Air Cooling (1) |
4.2.2. | Introduction to Air Cooling (2) |
4.2.3. | Benefits and Drawbacks of Air-Cooling Methods |
4.2.4. | Use Case: Row-Level Cooling Liebert® CRV CRD25 |
4.2.5. | Overview: RDHx |
4.2.6. | Hybrid Air-to-Liquid Cooling - nVent |
4.2.7. | Cooling Tower - Adiabatic Cooling |
4.2.8. | Balance Between Water Use and Power Use - Case by Case in Practice |
4.2.9. | Use Case: Jaeggi - Adiabatic and Hybrid Dry Coolers |
4.2.10. | Trend for Air Cooling in Data Centers |
4.2.11. | SWOT of Air Cooling |
4.3. | Forecasts |
4.3.1. | Forecast - Air-Cooled Data Center - Hyperscale |
4.3.2. | Air-Cooled Data Centers Number Forecast: 2016-2033 |
4.3.3. | TCO Comparison |
4.3.4. | Power Distribution for Data Center with Capacity <20MW |
4.3.5. | Air-Cooled Data Center Power Forecast 2016-2033 |
4.3.6. | Data Centers Using Air Cooling Forecast 2016-2033 |
4.3.7. | Data Centers Using Air Cooling Forecast by Data Center Power 2016-2033 |
4.3.8. | Air Cooling Yearly Revenue Forecast 2016-2033 |
4.3.9. | Data Centers with Air Cooling Only Revenue Forecast 2016-2033 |
4.4. | Liquid cooling |
4.4.1. | Liquid Cooling and Immersion Cooling |
4.4.2. | Comparison of Liquid Cooling Technologies (1) |
4.4.3. | Comparison of Liquid Cooling Technologies (2) |
4.5. | Cold Plates |
4.5.1. | Overview |
4.5.2. | Single-Phase Cold Plate |
4.5.3. | Two-Phase Cold Plate |
4.5.4. | Cold Plate Forecast |
4.5.5. | Summary of Cold Plate Cooling |
4.6. | Spray Cooling |
4.6.1. | Introduction to Spray Cooling |
4.6.2. | Advanced Liquid Cooling Technologies (ALCT) - Spray Cooling |
4.7. | Immersion Cooling |
4.7.1. | Single-Phase and Two-Phase Immersion - Overview (1) |
4.7.2. | Single-Phase Immersion Cooling (2) |
4.7.3. | SWOT: Single-Phase Immersion Cooling |
4.7.4. | Use Case: Iceotope |
4.7.5. | Use Case: Green Revolution Cooling (GRC) |
4.7.6. | Overview: Two-Phase Immersion Cooling |
4.7.7. | SWOT: Two-Phase Immersion Cooling |
4.7.8. | Wieland - Two-Phase Immersion Cooling |
4.7.9. | Two-Phase Cooling - Phase Out Before Starting to Take Off? |
4.7.10. | Roadmap of Two-Phase Immersion Cooling |
4.7.11. | Roadmap of Single-Phase Immersion Cooling |
4.7.12. | Examples: Immersion |
4.7.13. | Use-Case: Iceotope and Meta |
4.7.14. | Use-Case: Microsoft |
4.7.15. | Asperitas |
4.7.16. | Gigabyte |
4.7.17. | Summary (1) - Benefits of Immersion Cooling |
4.7.18. | Summary (2) - Challenges of Immersion Cooling |
4.7.19. | Cost Saving Comparison - Immersion and Air Cooling |
4.7.20. | Comparison of Liquid Cooling Methods |
4.7.21. | Pricing of Direct-to-Chip, Immersion and Air Cooling - US$/Watt |
4.7.22. | Total Cost of Ownership (TCO) Comparison: Air Cooling and Immersion (1) |
4.7.23. | Total Cost of Ownership (TCO) Comparison: Air Cooling and Immersion (2) |
4.7.24. | Forecast of Server Boards - Capacity>143MW: 2016-2033 |
4.7.25. | Immersion Yearly Revenue Forecast - Capacity>143MW: 2016-2033 |
4.7.26. | Immersion Cumulative Revenue Forecast - Capacity>143MW: 2016-2033 |
4.8. | Coolant |
4.8.1. | Introduction to Cooling Fluid |
4.8.2. | Coolant Fluid Comparison |
4.8.3. | Trend - Decline in Fluorinated Chemicals? |
4.8.4. | Immersion Coolant Liquid Suppliers |
4.8.5. | Engineered Fluids - Why Better Than Oils |
4.8.6. | What is the Roadmap for Coolant in Two-Phase Immersion? |
4.8.7. | Demand for Immersion Coolant Standardization - FOMs |
4.8.8. | Figures of Merit (FOM) |
4.8.9. | Force Convection FOM for Single-Phase Immersion |
4.8.10. | FOM3 - Viscosity for Pressure Drop |
4.8.11. | Density |
4.9. | Partnerships |
4.9.1. | Intel and Submer - Heat Reuse and Immersion Cooling |
4.9.2. | Iceotope, Intel and HPE |
4.9.3. | Iceotope, Schneider Electric, and Avnet - Liquid Cooled Data Center |
4.9.4. | GRC and Intel |
4.9.5. | GRC and Dell - Edge Deployment |
4.9.6. | Iceotope and Meta |
4.9.7. | Development of New Immersion Coolant - ElectroSafe |
5. | COOLANT DISTRIBUTION UNITS (CDUS) |
5.1. | Introduction |
5.1.1. | Overview - (1) |
5.1.2. | Overview - (2) |
5.1.3. | Redundancy - (1) |
5.1.4. | Redundancy - (2) |
5.1.5. | Overview of CDU - Teardown |
5.1.6. | Liquid-to-Liquid (also known as L2L) CDUs |
5.1.7. | Liquid-to-Air CDUs |
5.1.8. | Summary of Liquid-to-Liquid and Liquid-to-Air Cooling |
5.1.9. | Vertiv - Liebert® XDU 60 Heat Exchanger and CDU - (1) |
5.1.10. | Vertiv - Liebert® XDU Heat Exchanger and CDU - (2) |
5.1.11. | CDU - nVent |
5.1.12. | CDU - CoolIT - Teardown (1) |
5.1.13. | CDU - CoolIT - Teardown (2) |
5.1.14. | CDU - CoolIT - Teardown (3) |
5.1.15. | CDU Teardown - Motivair |
5.1.16. | Yearly CDUs Sales Number Forecast: 2017-2033 |
5.2. | Main Pump |
5.2.1. | Overview |
5.2.2. | Yearly Pumps Sales Number Forecast: 2017-2033 |
5.3. | Filtering |
5.3.1. | Overview |
5.3.2. | Filters - Schematic Drawing |
5.3.3. | Filters |
5.4. | Sensors |
5.4.1. | Overview of Sensors |
5.4.2. | Leakage Detection Sensors - Overview |
5.4.3. | Leakage Detection Sensors on Server Nodes (1) |
5.4.4. | Leakage Detection Sensors on Server Nodes (2) |
5.5. | Heat Reuse |
5.5.1. | Overview of the Heat Reuse in Data Center Cooling |
5.5.2. | Use Case: Amazon Data Center Heat Reuse |
5.5.3. | Facebook (Now Meta) Data Center Heat Reuse |
5.5.4. | Tencent - Tianjin Data Center Heat For Municipal Heating |
5.5.5. | Return on Investment of Heat Reuse |
5.5.6. | More Examples of Heat Reuse |
6. | HEAT TRANSFER - THERMAL INTERFACE MATERIALS (TIMS) |
6.1. | Overview |
6.1.1. | Thermal Interface Materials in Data Centers |
6.1.2. | Common Types of TIMs in Data Centers - Line Card Level |
6.1.3. | TIMs in Data Centers - Line Card Level - Transceivers |
6.1.4. | TIMs in Server Boards |
6.1.5. | Server Board Layout |
6.1.6. | TIMs for Data Center - Server Boards, Switches and Routers |
6.1.7. | Data Center Switch Players |
6.1.8. | How TIMs are Used in Data Center Switches - FS N8560-32C 32x 100GbE Switch |
6.1.9. | WS-SUP720 Supervisor 720 Module |
6.1.10. | Ubiquiti UniFi USW-Leaf Switch |
6.1.11. | FS S5850-48S6Q 48x 10GbE and 6x 40GbE Switch |
6.1.12. | Cisco Nexus 7700 Supervisor 2E module |
6.1.13. | TIMs for Power Supply Converters (1): AC-DC and DC-DC |
6.1.14. | Data Center Power Supply System |
6.1.15. | TIMs for Data Center Power Supplies (2) |
6.1.16. | TIMs for Data Center Power Supplies (3) |
6.1.17. | TIMs in Data Center Power Supplies (4) |
6.1.18. | How TIMs are Used in Data Center Power Supplies (5) |
6.1.19. | How TIMs are Used in data center power supply (6) |
6.1.20. | TIMs for Data Centers - Power Supply Converters |
6.1.21. | Differences Between TIM Forms - (1) |
6.1.22. | Differences Between TIM Forms - (2) |
6.1.23. | Novel material - Laminar Metal Form with High Softness (1) |
6.1.24. | Novel material - Laminar Metal Form with High Softness (2) |
6.1.25. | TIM Trends in Data Centers |
6.1.26. | Estimating the TIM Areas in Server Boards |
6.1.27. | Servers Number Forecast: 2021-2034 |
6.1.28. | Total TIM Area in Server Boards Forecast: 2021-2034 |
6.1.29. | Data Center Switches Number Forecast: 2021-2034 |
6.1.30. | Area of TIM per Switch |
6.1.31. | TIM Area for Leaf and Spine Switch |
6.1.32. | TIM Area for Leaf and Spine Switch Forecast: 2021-2034 |
6.1.33. | TIM Consumption in Data Center Power Supplies |
6.1.34. | Number of Power Supplies Forecast and TIM Area Forecast: 2021-2034 |
6.1.35. | Forecast summary - TIM Area for Different Data Center Components: 2021-2034 |
6.2. | Summary |
6.2.1. | Cooling Methods Cumulative Revenue Forecast 2016-2033 |
6.2.2. | Cooling Methods Yearly Revenue Forecast 2017-2033 |
6.2.3. | Number of Air-Cooled Data Centers Forecast: 2016-2033 |
6.2.4. | Hyperscale - Air + Liquid Cooling Forecast 2016-2033 |
6.2.5. | Power Forecast for Data Centers with Power < 20MW |
6.2.6. | Air Cooling Revenue Forecast: 2016-2033 |