· Engineering  · 8 min read

PCB Thermal Design for Edge AI Inference Modules: Copper Pour Strategy and Via Array Optimization

Practical thermal management guide for PCBs carrying edge AI inference modules (NVIDIA Jetson, Hailo-8, Google Coral). Covers thermal via array sizing, copper pour techniques, stackup considerations, and heat spreader integration for processors dissipating 5-25W in compact form factors.

Practical thermal management guide for PCBs carrying edge AI inference modules (NVIDIA Jetson, Hailo-8, Google Coral). Covers thermal via array sizing, copper pour techniques, stackup considerations, and heat spreader integration for processors dissipating 5-25W in compact form factors.

Quick Design Parameters

ParameterRecommendationNotes
Thermal via diameter0.3mm (filled) or 0.25mm (tented)Filled preferred
Via pitch0.6-0.8mmTighter = better, limited by drill registration
Minimum via count25 (5x5 array) for 10W moduleScale linearly with power
Copper weight (outer)2oz (70um) minimum3oz for >20W
Copper weight (inner)1oz (35um) minimum2oz if budget allows
Minimum ground planes2 continuous planesMore planes = more spreading
Exposed pad solder paste50-60% coverage patternPrevents voiding while maintaining thermal contact
PCB thickness1.6mm standardThinner = lower thermal resistance through via

The Thermal Challenge: Edge AI in Compact Form Factors

Edge AI inference modules present a specific thermal problem: high power density (5-25W) in small packages (15x15mm to 30x30mm), mounted on compact PCBs (often 50x80mm or smaller), frequently in sealed enclosures without active cooling.

Unlike server-class AI accelerators where liquid cooling and massive heatsinks are standard, edge AI boards must dissipate heat through the PCB itself and a modest heatsink. The PCB becomes a critical thermal component, not just an electrical interconnect.

Typical edge AI modules and their thermal profiles:

ModuleTDPPackage SizeExposed Pad
NVIDIA Jetson Orin Nano7-15W29.9x29.9mm (SoM)Yes, bottom
Hailo-82.5W (typical), 5W (peak)13x13mm BGA9x9mm exposed
Google Coral Edge TPU2-4W10x10mm6x6mm exposed
Intel Movidius Myriad X1-2W12x12mmNo exposed pad
Custom FPGA inference (Xilinx KV26)10-25W23x23mm16x16mm exposed

The heavier designs (Jetson, FPGA-based) absolutely require optimized PCB thermal paths. Even the lighter modules (Hailo, Coral) benefit from proper thermal design in sealed enclosures where ambient rises to 50-60C.

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Thermal Via Array Design: Sizing and Layout

Step 1: Determine Required Thermal Resistance

For reliable operation, the total thermal resistance from junction to ambient must keep Tj below the module’s maximum (typically 105-125C for commercial-grade AI chips):

Tj = Ta + P * (Rjc + Rpcb + Rhs)

Where:
- Ta = ambient temperature (design for worst case: 50-60C in enclosure)
- P = module TDP (watts)
- Rjc = junction-to-case thermal resistance (from datasheet)
- Rpcb = PCB thermal resistance (what you're designing)
- Rhs = heatsink-to-ambient (if used)

Target: Rpcb < 15 C/W for modules up to 15W. Below 10 C/W for 20W+ modules.

Step 2: Size the Via Array

Each filled thermal via (0.3mm drill, 25um plating, 1.6mm board) provides approximately:

  • Plated through-hole (unfilled): Rvia ~ 70-100 C/W per via
  • Non-conductive filled + capped: Rvia ~ 50-70 C/W per via
  • Conductive filled (copper epoxy): Rvia ~ 20-40 C/W per via

Vias in parallel: Rtotal = Rvia / N (where N = number of vias)

Example calculation for 15W Jetson Orin Nano:

  • Target Rpcb = 12 C/W
  • Using conductive-filled vias (Rvia ~ 30 C/W each)
  • Required vias: 30/12 = 2.5 → minimum 3 vias (but practically, use 25-36 for uniform heat distribution)
  • A 6x6 array (36 vias) on 0.6mm pitch fits within a 3.6x3.6mm area — well within the exposed pad footprint

Step 3: Via Layout Rules

  • Pitch: 0.6mm minimum (limited by drill-to-drill clearance). 0.8mm more conservative.
  • Edge clearance: Keep vias 0.3mm inward from exposed pad edge
  • Solder paste pattern: Use windowed stencil (50-60% coverage) over thermal pad to prevent solder voiding
  • Via fill requirement: Mandatory for pads that will be soldered. Unfilled vias wick solder away from the joint.
  • Avoid vias directly under BGA balls in the non-thermal area of the same component

Copper Pour Strategy for Lateral Heat Spreading

Thermal vias transfer heat vertically (Z-axis). Copper planes spread heat laterally (X-Y plane). Both are essential.

Inner Layer Copper Pour Rules

  1. Dedicate at least 2 inner layers as unbroken copper planes under the AI module footprint
  2. Minimum copper fill: 80% in the thermal zone (25mm radius from module center)
  3. Avoid routing signals through the thermal zone on ground/power planes — every trace cut reduces thermal spreading
  4. Connect thermal vias to ALL inner copper planes — each connected plane adds parallel thermal spreading area
  5. Extend copper planes beyond the module footprint — the spreading radius should be at least 2x the module dimension in each direction

Outer Layer Copper Strategy

  • Bottom layer (opposite side from module): Maximum copper fill with thermal pad for heatsink attachment or convective cooling
  • Top layer (module side): Copper fill around module perimeter. Keep ground flood connected to via array.
  • Thermal relief: Do NOT use thermal reliefs on thermal via connections to planes. Use solid connections (direct connect) for minimum thermal resistance.

Critical design error: Using thermal relief pads on thermal vias. The spoke pattern adds 2-5 C/W per plane connection. For AI module thermal vias, always use solid (direct) pad-to-plane connections.

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Stackup Considerations for Edge AI Boards

4-Layer Stackup (Budget Edge AI, < 10W)

L1: Signal + Component (2oz) — module on this side
L2: Ground plane (1oz) — continuous under module
L3: Power plane (1oz) — continuous under module  
L4: Signal + Thermal pad (2oz) — heatsink attach side

Thermal path: Module → solder joint → thermal vias → L2/L3 planes (spreading) → L4 copper pad → heatsink/air

6-Layer Stackup (Performance Edge AI, 10-20W)

L1: Signal + Component (2oz)
L2: Ground plane (1oz) — thermal spreading
L3: Signal (1oz) — route AWAY from thermal zone
L4: Power plane (1oz) — thermal spreading
L5: Ground plane (1oz) — thermal spreading
L6: Signal + Thermal pad (2oz) — heatsink side

Three continuous copper planes (L2, L4, L5) provide excellent lateral spreading. Route high-speed signals on L3 but avoid the thermal zone directly under the module.

8-Layer Stackup (High-Performance AI SoC, 15-25W)

L1: Signal + Component (2oz)
L2: Ground (2oz) — primary thermal spreading
L3: Signal (1oz) — DDR/PCIe routing
L4: Power (1oz) — VRM planes
L5: Ground (1oz) — signal return/thermal
L6: Signal (1oz) — DDR/PCIe routing  
L7: Power (1oz) — thermal spreading
L8: Signal + Thermal pad (2oz) — heatsink

For detailed stackup design methodology, see our guide on AI accelerator PCB thermal and power delivery design.


Heatsink Integration: PCB Interface Design

The PCB bottom layer (opposite the AI module) often interfaces with a chassis heatsink or heat spreader. Design considerations:

Thermal interface pad: Expose copper (no solder mask) in a defined area matching the heatsink contact footprint. Specify ENIG or immersion silver finish to prevent oxidation while maintaining thermal contact.

Flatness requirement: PCB warpage in the heatsink contact zone must be < 100um to ensure thermal interface material (TIM) fills the gap uniformly. For boards with heavy copper planes, specify < 0.5% bow/twist per IPC-6012.

Mounting hardware: Plan for heatsink mounting screws/clips in the PCB layout. Through-board mounting holes near the thermal zone help clamp the PCB flat against the heatsink.

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Validation: How to Verify Your Thermal Design

Before committing to production, verify thermal performance:

  1. Thermal simulation: Use Ansys Icepak or Siemens FloTHERM to model board-level thermal resistance. Input actual copper fill percentages, via array parameters, and enclosure conditions.

  2. First-article thermal testing: Place thermocouples on module case (top) and PCB bottom (under via array). Run inference workload at maximum utilization for 30 minutes. Verify steady-state temperatures.

  3. IR thermal imaging: Non-contact verification of heat spreading pattern. Reveals uneven thermal distribution caused by insufficient copper fill or broken ground planes.

Acceptance criteria:

  • Tj < Tj_max - 20C margin (accounts for aging and manufacturing variation)
  • PCB bottom temperature uniform within +/-5C across thermal zone
  • No hotspots indicating void in thermal via fill

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Reviewed by AtlasPCB Engineering Team — IPC-certified manufacturing specialists with 15+ years of production experience in HDI, RF, and high-reliability PCB fabrication. Content based on factory floor data and real customer design reviews.

  • ai-hardware
  • thermal-management
  • edge-ai
  • pcb-design
  • copper-pour
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