Data Center and AI Server Thermal Materials

Build Lower-Resistance Interfaces for High-Density Compute

Control heat across GPU, HBM, CPU, VRM, NIC and storage hardware with thermal materials selected around cold-plate flatness, bond-line thickness, pressure distribution, serviceability and long-term rack operation.

Application-Led Selection Prototype to Production Custom Thickness and Shapes
High-density server racks operating inside a modern data center
One Thermal StackGPU power, cold-plate contact, pressure and serviceability must work together.
Heat SourcesGPU, HBM, CPU, VRM and high-speed I/O
CoolingCold plate, heat sink or chassis spreader
MechanicalFlatness, pressure and height variation
ReliabilityPump-out, aging, vertical use and rework

Inside the Compute Node

Map Every Interface in the AI Server

Accelerators place multiple high-flux devices beside memory, voltage regulation and networking hardware. Each interface has a different gap, pressure budget and service requirement.

Liquid cold plate installed above a high-performance GPU and HBM assembly
Primary Heat Path

GPU, HBM and Cold-Plate Interfaces

Manage high heat flux with a controlled, thin interface while protecting the package from uneven pressure, cold-plate bow and mounting variation.

Explore Thermal Interface Materials →
Thermal material applied to a processor and high-density electronic assembly
Board-Level Cooling

VRM, Memory and Accelerator Components

Bridge component-height variation into a heat spreader or chassis without transferring excessive compression into packages, solder joints or the PCB.

Read the MOSFET and VRM Guide →
High-speed networking, storage and server communication equipment
Rack Infrastructure

NICs, Switches, Storage and Power Shelves

Move heat from controllers, optics, power stages and dense board assemblies into housings under continuous load and constrained airflow.

Explore Thermal Gap Fillers →

Material Families

Choose the Interface Function Before the Chemistry

Start with heat flux, gap, surface flatness, mounting pressure, orientation and maintenance. Then compare the material format that can preserve contact over the server life.

01

High-Performance Thermal Pads

Bridge defined gaps around HBM, memory, VRMs, controllers and board-level components with repeatable placement.

  • Custom thickness and die-cut shape
  • Controlled hardness and compression
  • Electrical insulation options
View Silicone Thermal Pads →
02

Single-Component Thermal Gels

Conform to uneven component arrays and variable gaps with low stress and production-ready dispensing.

  • Soft dispensable interface
  • No mix-ratio management
  • Manual or automated application
View Single-Component Thermal Gel →
03

Low-Resistance Thermal Grease

Wet thin, flat and clamped CPU or GPU interfaces where minimum bond-line thickness is the priority.

  • Low contact resistance
  • Thin interface potential
  • Serviceable assembly
View Low-Resistance Grease →
04

Phase Change Interface Materials

Provide clean placement and operating-temperature wetting for processors, accelerators and cold plates.

  • Pre-applied or sheet format
  • Thin bond-line potential
  • Cleaner production handling
Explore Phase Change TIMs →
05

Graphite Heat-Spreading Pads

Spread local heat laterally across thin spaces near controllers, memory, optics and compact board regions.

  • Thin in-plane spreading
  • Hot-spot reduction
  • Custom die-cut geometry
Explore Graphite Thermal Pads →
06

Thermally Conductive Adhesives

Bond heat spreaders, sensors and cooling components where clips or mechanical fasteners are impractical.

  • Attachment plus heat transfer
  • Controlled cure and modulus
  • Vibration-resistant assembly
Explore Thermal Adhesives →

Format Comparison

Match the Material to the Real Compute Interface

The strongest candidate is the one that reaches the required component temperature at final thickness, pressure and orientation—and remains serviceable at rack scale.

Material FormatBest-Fit Server InterfacePrimary AdvantageDesign Watch Points
Thermal padHBM, VRM, memory, NIC and component-to-spreader gapsDefined thickness and clean die-cut placementCompression, height variation and long-term set
Thermal greaseThin GPU, CPU or package-to-cold-plate interfaceLow bond line and strong surface wettingPump-out, application volume, vertical use and rework
Phase change TIMFlat processor or accelerator interfaceClean handling with operating-temperature wettingActivation temperature, pressure and cycling stability
Thermal gelVRM arrays, uneven boards and multi-height component fieldsLow-stress conformance and dispensing flexibilityDispense control, slump, bleed and serviceability
Graphite sheetThin controller, memory, optics or chassis hot spotsLateral heat spreading in constrained spacesAnisotropy, insulation, handling and edge protection
Thermal adhesiveSpreader, sensor, heat sink or permanently attached cooling partBond and thermal path in one operationCure, modulus, strength and removal strategy

Selection Workflow

Build the Server Interface Brief in Five Steps

A useful material brief connects device power and cooling architecture to measurable interface, mechanical, maintenance and reliability requirements.

STEP 01

Map the Heat Sources

List GPU, HBM, CPU, VRM, NIC and storage losses, temperature limits and operating profiles.

STEP 02

Measure the Stack

Record contact area, minimum and maximum gap, coplanarity, cold-plate flatness and fastener layout.

STEP 03

Set the Pressure Budget

Define allowable package, HBM, PCB and solder-joint stress across assembly tolerances.

STEP 04

Plan Production and Service

Confirm placement, dispense, inspection, rack orientation, disassembly and field replacement needs.

STEP 05

Validate Reliability

Test impedance, pump-out, compression set and contact after cycling, aging and repeated service.

Engineering Variables

What Should Be Specified Before Sampling?

AI server material selection improves when the sample represents the actual cold plate, package stack, pressure and orientation. Share a range when the mechanical design is still changing.

GPU, HBM and cold-plate stack used to define server thermal interface requirements The complete silicon-to-coolant path—not a single W/mK value—defines server performance.
01

Power and Temperature

Steady and transient device power, throttling limit, junction or case target, coolant and ambient conditions.

02

Gap and Flatness

Bond-line range, package height, HBM coplanarity, cold-plate bow, roughness and tolerance stack-up.

03

Pressure Distribution

Fastener pattern, torque, clamp load, package stress limit and pressure uniformity across the active area.

04

Material Cleanliness

Bleed, outgassing, silicone sensitivity, contamination limits and compatibility with nearby optics or contacts.

05

Reliability and Orientation

Thermal cycling, continuous load, vertical installation, pump-out, compression set and expected service life.

06

Assembly and Rework

Placement or dispense method, cycle time, inspection, cold-plate removal and field replacement strategy.

Have These Six Inputs Ready?Send a Clearer Material Brief

Failure Prevention

Design Around the Risks That Appear After Assembly

A prototype can cool well on the bench and still lose contact or serviceability after continuous loading, cycling and repeated rack maintenance.

Geometry

Incorrect Pad Thickness

A pad that is too thin can miss contact; one that is too thick can increase resistance and package stress.

Review Pad Thickness Selection →
Mechanical

Uneven GPU or HBM Pressure

Cold-plate bow, fastener sequence and hardness can create local hot spots or overload the package stack.

Review Compression Guidance →
Reliability

Grease Pump-Out or Pad Aging

Continuous load and cycling can change contact, elasticity and interface coverage over the product life.

Understand GPU Pad Lifespan →
Tolerance

Poor Contact Across Mixed Heights

One interface material may not suit GPU, memory and VRM gaps with very different tolerance ranges.

Compare Putty and Pad Formats →

Compute Platforms

Different Systems Create Different Thermal Priorities

Power density, accelerator layout, cooling architecture, rack orientation and service model change the ideal balance of impedance, compliance and reworkability.

High-density AI server racks and accelerator infrastructure
01 / AI Compute

GPU and Accelerator Servers

  • High heat flux and liquid cooling
  • GPU/HBM pressure control
  • Serviceable cold plates
High-density semiconductor compute and server board assembly
02 / Compute

CPU and High-Density Compute Nodes

  • Thin processor interfaces
  • Memory and VRM gap control
  • Repeated thermal cycles
Network switches and high-speed communication equipment in data centers
03 / Network

Switches, NICs and Optical Systems

  • ASIC and optics hot spots
  • Compact airflow paths
  • Long unattended operation
Storage controllers, memory and compact server electronics
04 / Storage

Storage and Memory Systems

  • Controller and flash heating
  • Thin chassis constraints
  • High-volume assembly

Validation Plan

Test the Final Stack, Not Only the Material Coupon

Coupon data helps compare candidates. Server validation confirms whether the interface maintains temperature and contact through real pressure, orientation, load and maintenance cycles.

Review Common TIM Test Standards →

Thermal Impedance

Measure device-to-coolant or component-to-chassis performance at actual thickness and pressure.

Pressure Mapping

Confirm fastener torque, cold-plate flatness and load distribution across GPU and HBM regions.

Pump-Out and Bleed

Evaluate migration, coverage and material stability under continuous load and cycling.

Vertical Orientation

Test slump, flow and long-term contact in the installed rack direction.

Aging and Cycling

Track impedance after temperature cycling, high-temperature storage and long-duration operation.

Serviceability

Check removal force, residue, pad damage, replacement repeatability and field reassembly.

From Prototype to Rack Scale

Material Performance Must Survive the Assembly Process

Haktak can support formulation and delivery format. Share cold-plate drawings, package heights, pressure limits, annual volume, placement method and rework expectations early.

Custom Thickness and Hardness

Balance contact, package stress and tolerance coverage for GPU, HBM, VRM and memory interfaces.

Die-Cut Conversion

Supply pads and graphite parts with openings, tabs, liners and placement-ready geometry.

Dispensing Support

Align gel or grease packaging with bead shape, shot size, equipment, cycle time and inspection.

Prototype Samples

Compare material formats and property ranges before cold-plate tooling and server validation.

Engineering Resources

Build a Stronger AI Server Material Specification

Use these guides to compare material formats, define stack geometry and prepare a practical validation and service plan.

AI Server Guide

Thermal Pads for AI Servers and High-Power GPUs

Connect GPU, HBM, VRM and cold-plate requirements to thermal pad selection.

Read the AI Server Guide →
Geometry

How Bond-Line Thickness Affects Performance

See why final interface thickness belongs in every GPU and cold-plate comparison.

Review Bond-Line Effects →
Metrics

Thermal Conductivity vs. Thermal Resistance

Understand how material properties and complete stack geometry affect temperature.

Review Thermal Metrics →
Cleanliness

Low-Outgassing Thermal Materials

Consider contamination, volatile loss and clean-contact requirements near sensitive hardware.

Read the Low-Outgassing Guide →
Product Directory

Browse Haktak Material Products

Review available thermal interface and adhesive product families and individual grades.

Browse All Products →

Frequently Asked Questions

AI Server Thermal Material FAQ

Final selection should be validated in the real GPU, HBM, cold-plate and rack stack-up.

Which thermal material is best for a GPU cold plate?

Thermal grease and phase change materials are common for thin, flat GPU interfaces. Thermal pads or gels may be better where the stack has a defined or variable gap. Flatness, pressure, pump-out risk and serviceability determine the best format.

What thermal material is used around HBM and VRMs?

Soft thermal pads and dispensable gels are common because they bridge component-height variation while limiting package and PCB stress. Thickness and pressure should be validated across the complete accelerator assembly.

Is higher thermal conductivity always better for AI servers?

No. Final temperature also depends on thickness, contact resistance, pressure, surface wetting and long-term stability. A lower-resistance complete interface is more important than bulk W/mK alone.

How can thermal grease pump-out be reduced?

Use controlled application volume, stable clamping, compatible viscosity and a formulation validated through the expected load and temperature cycles. Cold-plate flatness and thermal expansion also affect migration.

When should a thermal pad be replaced during server service?

Replace it when the pad tears, remains permanently compressed, loses elasticity, becomes contaminated or cannot reproduce full contact after disassembly. The service procedure should define inspection and replacement criteria.

What information does Haktak need for a recommendation?

Share device power, temperature target, contact area, gap, package heights, cold-plate flatness, mounting pressure, orientation, cycling profile, assembly process, rework needs and expected volume.

Start With the Complete Compute Stack

Send the Power, Gap, Pressure and Cold-Plate Design

Haktak can help compare thermal pads, grease, phase change materials, gels, graphite and adhesives for high-density compute and data center hardware.

Request a Material Recommendation
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