As machine learning devices operate at high speeds amid massive datasets, and as the training of complex models keeps chips in a constant high-load state, "high temperature" has become an invisible obstacle restricting the release of computing power. Excessive heat leads to reduced operational efficiency, compromised hardware stability, and even irreversible damage to delicate components.

The emergence of thermal conductive graphite sheets is bringing a robust cooling solution to machine learning devices. This new material, which combines high thermal conductivity with thin and lightweight properties, acts like a "thermal conduction highway," quickly transferring and diffusing the concentrated heat generated by chip cores. Whether in densely packed GPU clusters within deep learning servers or the compact s of edge computing devices, it flexibly adapts to complex structures, closely adheres to heat source surfaces, and achieves effective heat transfer and dissipation without occupying excessive .

Thermal conductive graphite sheets are graphite-added composite thermal conductive materials. Their excellent thermal conductivity effectively addresses common issues with thermal interface materials. Featuring an aluminum foil-reinforced structure, the material maintains structural integrity during application. It easily adheres to various surfaces, facilitating installation, and is commonly used as a thermal conduction interface between transistors and heat sinks, as well as between large-area components.

Key Features of Thermal Conductive Graphite Sheets

- Excellent thermal conductivity: 900W/mK~2000W/mK

- High forming temperature, stable and reliable performance, with no aging issues

- Good flexibility, easy for die-cutting processing and installation

- Soft and bendable, thin and lightweight, with high EMI shielding effectiveness

- Compliant with EU RoHS standards and meets requirements for halogen-free and other hazardous substance limits

From continuously trained algorithm models to real-time responsive intelligent decision-making, thermal conductive graphite sheets, with their stable heat dissipation capability, lay a solid "cool" foundation for machine learning devices. They enable more sustained computing power output and more thorough performance, emerging as a key enabler for driving intelligent iteration.