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Thermal interface material strategies for AI servers

Thermal Interface Material Performance in AI Server Modules — PatSnap Insights
Thermal Management

As AI server die power densities push past 600 W per module, the thermal interface material between power die and heat spreader has become a primary performance bottleneck. Patent analysis across Intel, Google, Tesla, IBM, and Laird reveals four dominant engineering strategies — and the material science behind each one.

PatSnap Insights Team Innovation Intelligence Analysts 10 min read
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Reviewed by the PatSnap Insights editorial team ·

From Polymer Pads to Liquid Metal: The TIM Conductivity Gap

The fundamental challenge in thermal interface material selection for high-power AI server dies is the trade-off between thermal conductivity and mechanical compliance. Conventional polymer-based TIMs deliver thermal conductivities in the range of 3–6 W/(m·K) — a bottleneck that becomes unacceptable as die power densities rise toward and beyond 600 W in GPU-class AI accelerators. Intel’s 2023 patent on flexible and modular processor module cooling quantifies this directly: a single low-conductivity TIM layer below 3 W/(m·K) causes approximately 10°C of temperature drop in an OAM-compatible 600 W GPU module.

600 W+
GPU-class AI accelerator die power density
~10°C
Temperature drop across a single low-conductivity TIM layer (<3 W/m·K)
0.01–0.025
°C·cm²/W — liquid metal TIM thermal resistance
~20°C
Hotspot reduction via die backside topography engineering (IBM)

Liquid metal TIMs represent a step-change in conductivity. Patent work from Arrington and Kyle Jordan (2021) demonstrates that liquid metal TIMs achieve thermal resistance values of R_TIM ≈ 0.01–0.025 °C·cm²/W — several times lower than polymer alternatives. The application method is equally important: a pre-soaked open-cell polyurethane foam applicator controls the volume dispensed on SoC packages, addressing the containment challenge that makes liquid metals difficult to handle in production. Containment and galvanic corrosion on bare aluminum or copper spreader surfaces remain the primary engineering constraints for liquid metal TIM adoption, as noted by IEEE thermal packaging standards literature.

Liquid metal thermal interface materials achieve thermal resistance values of approximately 0.01–0.025 °C·cm²/W in SoC package applications, which is several times lower than conventional polymer-based TIMs that deliver thermal conductivities of only 3–6 W/(m·K).

Solder-based TIM bonding offers a permanent, low-resistance interface suited to AI server modules where thermal performance outweighs field serviceability requirements. Tesla’s 2024 patent describes a two-step reflow process that solders the heat spreader to the IC die using a TIM with a melting temperature lower than the primary BGA solder — preventing re-flow damage to board-level interconnects. The architecture positions the TIM thermal bottleneck as far from the silicon die as possible: the spreader bonds directly to the die, then a secondary TIM fills the spreader-to-cold-plate gap, reducing effective thermal impedance across the entire stack.

Figure 1 — Thermal Conductivity Comparison: TIM Material Classes for AI Server Die-to-Spreader Interfaces
Thermal conductivity comparison of TIM material classes for AI server power die cooling 20 40 60 80 Thermal Conductivity (W/m·K) 3–6 Polymer TIM (W/m·K) ~25 Liquid Metal TIM (W/m·K) ~50 Solder / Indium (W/m·K) ~70 Nano-silver / Diamond-filled Polymer Liquid Metal Solder/Indium Nano-silver/Diamond
Polymer TIMs (3–6 W/m·K) are inadequate for 600 W AI GPU dies; liquid metal, solder, and ultra-high-k materials represent successive generations of thermal resistance reduction at the die-to-spreader interface. Values are representative of patent-disclosed material classes.

A novel self-pressurizing TIM architecture was disclosed by Koninklijke Philips N.V. (2017), where a shrinkable material embedded in the TIM layer expands upon thermal activation from the die itself, increasing contact pressure on both mating surfaces without any external clamping mechanism. This self-generating pressure eliminates the need for spring-loaded retention hardware and provides conformal contact with rough or curved surfaces — a meaningful advantage in large-format AI processor packages prone to warpage.

Intel has also patented a composite TIM structure using embedded heat-transfer columns, where metal pillars forming silicon-metal alloy bonds with the die backside are encapsulated within the TIM adhesive layer. The pillars bypass the polymer thermal resistance entirely for the dominant heat flux path, while dispersed diamond, graphene, or carbon nanotube fillers in the TIM matrix provide supplemental conductivity. Standards bodies including JEDEC have noted that composite filler strategies are increasingly critical as package-level power density targets escalate.

Bond-Line Thickness (BLT)

BLT is the final compressed thickness of the TIM layer between die and heat spreader after assembly. Minimising BLT directly reduces thermal resistance: a thinner layer means a shorter conduction path. In multi-die packages, unequal die heights force thicker BLT over some dies, degrading overall thermal performance unless z-height compensation structures are used.

Explore the full patent landscape for TIM materials and heat spreader bonding in AI server modules.

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Heterogeneous TIM Architectures for Mixed-Power-Density AI Packages

A single TIM material cannot simultaneously optimise thermal performance for a high-power ASIC die and mechanical compliance for fragile High Bandwidth Memory (HBM) stacks within the same package lid — this is the central problem that heterogeneous TIM (HTIM) architectures solve. AI accelerator modules increasingly integrate high-power ASIC or GPU dies alongside thermally sensitive, lower-power components such as HBM, requiring TIM architectures that apply different thermal and mechanical properties to different areas of the same package.

Google LLC is the most active recent filer in heterogeneous TIM architectures for multi-die AI chip packages, with at least four distinct patent families covering HTIM zoning, CTE-engineered stiffener systems for TIM reliability, TEC hybrid cooling with TIM, and high-k and ultra-high-k TIM materials for chip assembly thermal management.

Google has been the most prolific filer in HTIM architectures. In its 2026 US and EP patent families, Google defines a chip package assembly where a first TIM with high thermal conductivity and low modulus of elasticity (capable of reflow) overlies the high-power chip, and a second polymer-based TIM with higher modulus and lower conductivity overlies the low-power chip. The second TIM acts as a containment barrier preventing reflow of the first TIM onto adjacent components while also mechanically decoupling the higher-compliance zone from the rigid zone — addressing both thermal and manufacturing reliability simultaneously.

“A first TIM with high thermal conductivity and low modulus overlies the high-power chip; a second polymer TIM with higher modulus and lower conductivity overlies the low-power chip — the second TIM acts as a containment barrier preventing reflow onto adjacent components.”

Google’s structural work on heat distribution devices (2021, updated 2024 in TW jurisdiction) also demonstrates the use of a CTE-engineered stiffener element surrounding the die, with the stiffener’s coefficient of thermal expansion deliberately set higher than the heat distribution device’s CTE. This CTE mismatch controls warpage during thermal cycling such that the TIM interface remains under compressive contact rather than tensile stress — preventing delamination and pump-out. These patents also advocate for ultra-high-k TIM materials including nano-silver and indium for direct die-to-cold plate bonding.

Figure 2 — Heterogeneous TIM Zoning: Key Architectural Approaches Across Major Patent Filers
Heterogeneous TIM zoning approaches in AI multi-die packages from Google, IBM, and Intel patent filings Google HTIM High-k TIM (low modulus) ASIC / GPU die Polymer TIM (containment) HBM die Zone-differentiated by die type IBM Hybrid TIM High-k hotspot Dispensable TIM surround Metallised hotspot targeting Intel Multi-IHS IHS block A IHS block B TIM-1A z-height fill Independent z-height per die Three heterogeneous TIM strategies from patent filings: Google (HTIM zoning), IBM (hotspot targeting), Intel (multi-IHS)
Google’s HTIM zoning uses two distinct TIM materials within one package lid; IBM’s hybrid approach concentrates high-k TIM only at metallised hotspot zones; Intel’s multi-reference IHS accommodates per-die z-height variation with independent IHS blocks and a TIM-1A fill layer.

IBM’s hybrid TIM solution selectively metallises the die backside at identified hotspot locations and places a higher-performance TIM only in those metallised zones. A lower-performance dispensable TIM fills the surrounding region under the lid. This approach concentrates expensive high-k TIM material at the thermal bottleneck while controlling cost and preventing pump-out of the low-viscosity high-performance material — a practical manufacturing consideration noted in thermal packaging literature reviewed by ASME.

Intel addresses the mechanical challenge of multi-die height variation in multi-chip packages through its “smart IHS” lid with a cavity that accepts an independent IHS block above each die. An intermediate TIM layer (TIM-1A) fills the gap between the IHS block and the lid cavity, allowing each die’s z-height to be accommodated independently without increasing the aggregate BLT across the die surface — the fundamental flaw in conventional single-lid designs where a uniform TIM thickness forces a thick BLT over the tallest die that degrades thermal performance across all dies.

IBM’s die backside topography engineering — where raised features are patterned on the die backside aligned to hotspot regions — locally reduces TIM thickness at hotspot coordinates and lowers junction-to-spreader thermal resistance by up to approximately 20°C at the hotspot compared to a flat die surface, directly applicable to AI GPU dies exhibiting 20–40°C hotspot elevation above average die temperature.

Google also integrates Thermoelectric Cooler (TEC) elements for targeted spot cooling in 2.5D/3D packages, aligning TEC footprints with heat-sensitive HBM dies to selectively lower their local temperature while a passive cold plate handles the higher-power ASIC die. The TIM in this architecture must accommodate both active TEC and passive cooling regions within the same package lid — a design constraint that further motivates heterogeneous material selection.

Mechanical Loading, Application Systems, and Assembly Integration

TIM performance in AI server modules is critically dependent on how the material is applied, compressed, and retained throughout the product lifecycle — not just on material chemistry alone. Excessive or uneven clamping pressure causes die cracking or BGA solder joint fatigue; insufficient pressure results in voiding and high thermal resistance. Several patents address this mechanical system design problem directly.

Key Finding: TIM Pump-Out Is a Multi-Year Reliability Risk

TIM pump-out — where repeated die expansion and contraction during thermal cycling gradually squeezes TIM out of the interface — increases thermal resistance over time. Laird’s thermoplastic TIM re-softens under operating temperature to re-wet the interface after partial delamination. Philips’ self-pressurizing shrinkable TIM expands upon thermal activation, increasing contact pressure without external clamping. Both mechanisms are critical for AI server modules subjected to thousands of power cycles over multi-year service lives.

Intel’s heat sink assembly patent (2009) employs a TIM spring within the backplate assembly that provides upward pressure to uniformly distribute TIM between the processor and heat sink, supporting large-mass heat sinks without concentrating load on the die. The 2024 update — Remote Mechanical Attachment for Bonded Thermal Management Solutions — extends this concept for TIM formulations that do not require permanent clamping force to maintain low thermal resistance, enabling retention hardware to be moved to a remote PCB location that does not consume signal routing area near the die.

Tesla’s 2024 patent explicitly identifies the risk of high-pressure TIM bonding applied directly to the IC: over-tightening or uneven tightening of cold plate fasteners can crack the die or induce early failure through stress. The solder-bonded heat spreader architecture resolves this by enabling the high-pressure TIM assembly step — between spreader and cold plate — to be performed on the more robust spreader rather than the fragile bare die.

Map the full competitive patent landscape for TIM application systems and mechanical retention in AI server packaging.

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Arika Incorporated has patented a liquid-metal emulsion TIM technology where liquid metal droplets are dispersed in an uncured polymer emulsion. Upon compression, the droplets deform and coalesce, forming percolating conductive networks. In the rigid-particle variant, hard spacer particles (such as ceramic) control the final bond-line thickness to within 90–110% of their average diameter, preventing squeeze-out and ensuring repeatable, thin BLT after assembly compression and polymer cure — a direct solution to the thermal resistance variability that plagues production populations.

Arika Incorporated’s rigid-particle liquid metal emulsion TIM controls final bond-line thickness to 90–110% of spacer particle diameter after compression and polymer cure, eliminating BLT variability that causes thermal resistance scatter across production populations of AI server die-to-spreader assemblies.

Intel’s system for supplying thermal interface to printed circuit boards (2018, updated 2023) describes a heat pipe-integrated heater block that uniformly heats the TIM during PCB assembly to achieve controlled, uniform TIM spreading across the heat spreader/PCB interface — addressing the common problem of cold TIM application resulting in voids and non-uniform bond lines under large-area multi-die server processor packages. Laird Technologies has filed multiple patents on TIM application systems, including precise die-based systems for pushing or removing a defined portion of TIM from a supply onto target components, and companion systems addressing TIM1 (die-to-IHS) and TIM2 (IHS-to-heat sink) layer placements.

IBM’s reworkable heat sink concept (2007) introduced a solder release layer that allows high-performance TIM-bonded heat sinks to be removed by selective local reflow of a low-melting release solder, without damaging the higher-melting structural solders in the module — enabling rework and module-level repair while retaining high-performance TIM bonding for normal operation. More recently, IBM’s 2025 patent (JP jurisdiction) extends TIM delivery to pluggable hardware modules by integrating a fluid TIM reservoir directly into the socket assembly, with dispensing ports that automatically deliver TIM into the void between module and socket upon plug-in — eliminating manual TIM application for hot-swappable AI server accelerator modules.

IBM’s two-layer TIM stack for high-power GPU packages (2019, CN) explicitly targets 300 W GPU assemblies in 2.5D/3D SoS organic laminate configurations, where warpage after BGA board mounting creates non-planar die surfaces requiring multi-layer TIM accommodation. This approach is consistent with guidance from IMAPS on advanced packaging thermal management, which identifies warpage-induced TIM non-uniformity as a primary failure mode in large-format AI processor packages.

Key Players and the Direction of TIM Innovation

The patent dataset reveals a clearly defined set of organisations dominating TIM innovation for power die-to-heat spreader interfaces, with filings spanning US, CN, EP, JP, WO, and TW jurisdictions. The competitive structure reflects both the strategic importance of thermal management for AI compute hardware and the specialisation of different players across the material, system, and architecture layers of the problem.

Figure 3 — TIM Innovation Focus Areas by Key Patent Filer
TIM innovation focus areas by key patent filer in AI server thermal management Organisation Primary TIM Innovation Focus Jurisdictions Google LLC Heterogeneous TIM zoning, CTE-engineered stiffeners, TEC hybrid cooling, ultra-high-k materials (nano-silver, indium) US, EP, CN, TW Intel Corporation Multi-IHS lid architecture, solderable thermal interconnects, mechanical retention systems, PCB-level TIM supply US, CN, WO Tesla Inc. Solder-bonded direct die-to-spreader architecture, two-step reflow process for AI compute hardware CN, JP IBM Hybrid TIM hotspot targeting, die backside topography, auto-dispensing pluggable socket TIM, reworkable solder release US, CN, JP Laird Technologies Thermoplastic self-healing TIM, TIM application systems, TIM1/TIM2 layer placement for IHS and heat sink US, CN Arika Incorporated Liquid metal emulsion TIM, rigid-particle BLT control, percolating conductive network formation on compression US
Patent filings across US, CN, EP, JP, WO, and TW jurisdictions show a clear division of innovation labour: Google leads heterogeneous architectures, Intel leads system integration, Tesla leads solder bonding, IBM leads hotspot targeting, Laird leads materials reliability, and Arika leads liquid metal emulsion BLT control.

A clear trend across all major filers is movement from simple polymer TIM pads toward engineered TIM systems combining: zone-differentiated material properties matching the thermal and mechanical needs of each die in a heterogeneous package; permanent or semi-permanent solder and liquid-metal bonds for maximum conductivity at the die-to-spreader interface; mechanical system designs that protect fragile AI dies from pressure damage during assembly; and self-healing or self-pressurizing TIM mechanisms that maintain low thermal resistance over multi-year server operating lifetimes. This trajectory is consistent with the broader direction of advanced packaging research tracked by Semiconductor Digest and industry roadmaps from SEMI.

“The dominant innovation direction is movement from simple polymer TIM pads toward engineered TIM systems — combining zone-differentiated materials, solder or liquid-metal bonds, pressure-protective mechanical designs, and self-healing formulations for multi-year AI server reliability.”

The emerging frontier is automated TIM delivery for hot-swappable AI accelerator modules. IBM’s integrated-reservoir auto-dispensing socket assembly eliminates the reliability gap between hot-swap module replacement and TIM re-application, enabling AI accelerator modules to be replaced in the field without performance-degrading dry contact at the thermal interface. As AI server infrastructure shifts toward modular, rack-scale architectures with frequent accelerator upgrades, this capability becomes a meaningful operational differentiator — a point reinforced by thermal management guidance published by Open Compute Project for OAM-compatible AI server designs.

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Thermal interface material performance in AI server modules — key questions answered

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References

  1. Heterogeneous Thermal Interface Material — Google LLC, 2026 (US)
  2. Heterogeneous Thermal Interface Material — Google LLC, 2026 (EP)
  3. Methods for Applying Cooling Schemes to Integrated Circuit Components — Tesla Inc., 2024 (CN)
  4. Efficient Heat Spreading Method and Assembly for Cooling Integrated Circuits — Tesla Inc., 2025 (JP)
  5. Liquid Metal Thermal Interface Material Application — Arrington/Kyle Jordan, 2021 (US)
  6. Hybrid TIMs for Electronic Package Cooling — IBM, 2021 (US)
  7. Thermal Interface Material Structure — IBM, 2019 (CN)
  8. Thermal Management of Computer Hardware Modules — IBM, 2025 (JP)
  9. Flexible and Modular Top-Side and Bottom-Side Processor Unit Module Cooling — Intel, 2023
  10. Multi-Reference Integrated Heat Spreader Solution — Intel, 2018
  11. IC Die and Heat Spreaders with Solderable Thermal Interface Structures — Intel, 2021
  12. Remote Mechanical Attachment for Bonded Thermal Management Solutions — Intel, 2024
  13. Thermal Interface Material — Koninklijke Philips N.V., 2017
  14. Method for Establishing Thermal Connection Between Heat Spreader or Lid and Heat Source — Laird Technologies, 2014
  15. System and Methods for Applying Thermal Interface Materials — Laird/Tianjin, 2024
  16. Method, Apparatus and Assembly for Thermally Connecting Layers with Thermal Interface Materials Containing Rigid Particles — Arika Incorporated, 2024
  17. Method for Locally Reducing the Thickness of Compliant Thermal Conductive Material Layer on Chips — IBM, 2005
  18. Methods and Heat Distribution Devices for Thermal Management of Chip Assemblies — Google, 2021
  19. Thermoelectric Cooler (TEC) for Spot Cooling of 2.5D/3D IC Packages — Google, 2019
  20. High-Performance Reworkable Heat Sink and Packaging Structure — IBM, 2007
  21. IEEE — Thermal Packaging Standards and Literature
  22. JEDEC — Advanced Packaging Thermal Management Standards
  23. ASME — Thermal Packaging and Heat Transfer Literature
  24. Open Compute Project — OAM-Compatible AI Server Thermal Management Guidance

All data and statistics in this article are sourced from the references above and from PatSnap‘s proprietary innovation intelligence platform.

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