Aonyxx develops next-generation thermal interface materials engineered for AI accelerators, high-power computing, and advanced electronics. Our technology is designed to reduce thermal bottlenecks at the chip-to-cooling interface, where system performance is often won or lost.
Aonyxx is a member of NVIDIA Inception program, accelerating the development of advanced thermal interface technology for AI compute systems.
Minimize resistance at the critical chip-to-cooling interface to maximize heat transfer efficiency.
Prevent thermal throttling and maintain peak clock speeds during intensive AI workloads.
Engineered specifically for the extreme power densities of modern accelerators and advanced packaging.
Aonyxx is focused on the interface layer that often determines whether expensive compute hardware can actually sustain rated performance under load.
Vertically Aligned Carbon Nanotubes (VACNT's) provide an exceptionally conductive thermal path, minimizing interfacial resistance at the thinnest bond lines.
Advanced Metallic TIM ensures robust contact and durability across repeated thermal cycling.
As accelerator power density increases, improvements at the thermal interface can materially affect throughput, energy efficiency, cooling burden, and hardware reliability.
Focus on performance proof rather than generic marketing language.
Lower temperatures versus a baseline comparison material in benchmark testing. Verified by AI OEMs.
More stable clocks and sustained workloads.
Higher ROI per GPU Hour.
Lower cooling burden per deployed system.
Optimized for high-density racks and liquid-cooled environments where every degree matters.
Reliable thermal transfer for sustained workloads in supercomputing and enterprise clusters.
Durable, high-performance interfaces for aerospace, defense, and advanced industrial applications.
Better thermal interface materials can support sustained performance, lower wasted energy, fewer thermal excursions, and stronger infrastructure economics.
Let’s review your thermal stack, benchmark goals, and evaluation path.
