NovoLINC launches MaxLINC thermal interface material

Key Takeaways

Ultra‑low resistance: MaxLINC delivers a thermal resistance as low as 0.7 mm²·K/W.
Energy efficiency: Field data show >20 % cooling‑energy savings versus conventional phase‑change TIMs or thermal greases.
Heat‑flux capacity: Engineered for >100 W/cm² heat‑flux environments, suitable for multi‑kilowatt AI accelerators.
Mechanical compliance: Accommodates package warpage up to 350 µm, reducing hot‑spot formation.
Production ramp‑up: NovoLINC is expanding to a new Sharpsburg, PA facility to meet rising demand.

Introduction: Why a New TIM Matters for AI Computing

AI workloads are pushing GPUs, CPUs, ASICs and other accelerators into the multi‑kilowatt power envelope. Traditional thermal interface materials (TIMs) – typically phase‑change compounds or silicone‑based greases – struggle to keep up with the resulting heat‑flux densities and mechanical stresses. NovoLINC’s MaxLINC is positioned as a next‑generation TIM that directly tackles these bottlenecks, enabling higher performance while cutting cooling‑system power draw.

Technical Highlights of MaxLINC

Ultra‑Low Thermal Resistance

Measured 0.7 mm²·K/W (typical) – roughly 30 % lower than the best‑in‑class phase‑change TIMs.
Enables a 20 % reduction in overall cooling‑energy consumption for AI server racks.

High‑Heat‑Flux Design

Proven capability up to 100 W/cm², well beyond the 40–60 W/cm² limits of most commercial greases.
Nanostructured composite architecture distributes heat laterally, mitigating localized hot spots.

Mechanical Flexibility

Tolerates warpage up to 350 µm, accommodating thermal expansion mismatches in large‑scale chip‑to‑cold‑plate assemblies.
Maintains contact pressure across chip‑to‑cold‑plate, chip‑to‑package spreader, and package‑to‑cold‑plate interfaces.

Reliability

Accelerated life‑cycle testing (10 k cycles, 85 °C) shows no measurable increase in thermal resistance, confirming long‑term stability under AI‑grade operating conditions.

Application Landscape

Application	Typical Power	Required Heat‑Flux	MaxLINC Benefit
Multi‑kilowatt GPU module	2–4 kW	80–120 W/cm²	0.7 mm²·K/W, warpage tolerance
High‑performance CPU (Xeon, EPYC)	1–2 kW	60–90 W/cm²	20 % lower coolant power
ASIC AI accelerator (TPU, custom ASIC)	0.5–3 kW	70–110 W/cm²	Uniform heat spreading
Direct‑liquid‑cooling cold plate	1–5 kW	90–130 W/cm²	Compatibility with liquid‑cool loops

Manufacturing Scale‑Up in Pennsylvania

NovoLINC has opened a new Sharpsburg, PA manufacturing site adjacent to its existing Pittsburgh operations. The expansion adds:

30 % more production line capacity for high‑volume TIM dispensing.
Dedicated qualification labs for thermal cycling, reliability, and warpage testing.
An R&D sandbox to iterate on next‑generation nanocomposite formulations.

Samples of MaxLINC are already in customer qualification with leading hyperscalers, AI‑focused semiconductor firms, and OEMs of AI servers.

Market Position & Partnerships

Open Compute Project (OCP) Startup Program member, aligning MaxLINC with industry‑standard server designs.
NVIDIA Inception Program participant, giving early access to NVIDIA’s upcoming GPU roadmap.
Recognized as a Pittsburgh Technology Council Tech 50 honoree, underscoring regional innovation leadership.

These affiliations accelerate adoption across the AI infrastructure ecosystem, from chip designers to cooling‑system integrators.

Comparison with Conventional TIMs

Metric	MaxLINC (NovoLINC)	Phase‑Change TIM	Thermal Grease
Thermal resistance (mm²·K/W)	0.7	1.0–1.2	1.2–1.5
Heat‑flux capability (W/cm²)	>100	40–60	30–50
Energy savings vs. baseline	>20 %	10–15 %	<10 %
Warpage accommodation (µm)	≤350	≤200	≤150
Reliability (10 k cycles @85 °C)	No degradation	5–10 % rise	8–12 % rise
Typical cost (USD/ft²)	$12‑$15	$8‑$10	$6‑$9

Bottom Line

MaxLINC represents a significant leap in thermal interface technology for AI‑driven data centers. Its sub‑1 mm²·K/W resistance, ability to handle >100 W/cm² heat flux, and tolerance for 350 µm warpage directly address the thermal bottlenecks emerging in multi‑kilowatt accelerators