Zalman 9X Optima RGB CPU Air Cooler

This high-performance CPU cooler boasts an array of advanced features designed to deliver excellent cooling performance and a superior user experience. At its core is a long-life rifle bearing that ensures stable and low-noise operation for an extended period.

The cooler's key highlight is its shark fin-shaped blade, which has been optimized for efficient air flow. This innovative design minimizes noise and vibration while increasing air volume, resulting in powerful yet quiet cooling.

Fully compatible with the latest Intel LGA 1700, 1200, 115X, as well as AMD Ryzen AM4 processors, this cooler seamlessly integrates with the power management technology of each CPU, eliminating any compatibility issues.

Catering to user preferences, the cooler employs PWM control to automatically adjust the fan speed based on the ambient noise level, providing optimal performance while maintaining a low noise profile of just 26dB(A).

At the heart of the cooling system is the DTH (Direct Touch Heat Pipe) technology, which directly transfers heat from the CPU to the heat pipes, minimizing thermal resistance and maximizing cooling efficiency. This, combined with the pure copper heat pipes and aluminum radiation fins, ensures rapid and effective heat dissipation, handling up to 180W of thermal design power (TDP).

The cooler is equipped with a 120mm PWM RGB LED fan that delivers a powerful airflow of 60.89 CFM while maintaining a low noise level. The fan's rifle bearing design not only contributes to its quiet operation but also enhances its durability, with an impressive lifespan of 40,000 hours.

The package includes all the necessary mounting hardware for both Intel and AMD platforms, including clips, screws, and a pre-applied thermal compound, making installation a straightforward process.

In summary, this CPU cooler offers an exceptional combination of advanced cooling technology, user-centric features, and long-lasting reliability, making it an ideal choice for demanding gaming and high-performance computing applications.

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