A53852-004 Intel 350-Watts AC Redundant Power Supply

This high-performance power supply unit provides reliable and efficient power delivery to your system, ensuring optimal performance and stability. Featuring a robust design and advanced technology, it meets the demanding requirements of modern computing systems.

The A53852-004 model boasts an impressive 350-watt capacity, capable of powering multiple GPUs, CPU fans, and other high-power components with ease. Its modular design and redundant power stages ensure that your system remains uninterrupted in case of a failure, providing peace of mind for users who rely on it daily.

With its sleek and compact enclosure, this power supply is designed to fit seamlessly into any desktop or tower configuration, making it an ideal choice for both professionals and enthusiasts alike. The 80+ Gold certification ensures that it meets the highest standards of efficiency, while the high-quality insulation and connectors ensure safe and reliable operation.

Measuring only 5 inches in height, this power supply is lightweight and easy to handle, making it perfect for small form factor systems or those who require quick installation and disassembly. Additionally, its compact size makes it an excellent choice for users who need to save space on their workstations or servers.

The A53852-004 features four 6-pin PCIe power connectors, supporting the latest PCIe-based devices and graphics cards, ensuring that your system stays up-to-date with the latest technological advancements. The included cable management system helps keep your workspace organized and clutter-free, making it easy to maintain a clean and efficient computing environment.

Overall, this high-performance power supply is a must-have for anyone looking for reliable and efficient power delivery in their computer systems. Its advanced technology, compact design, and high-quality construction make it an excellent choice for professionals and enthusiasts alike, ensuring optimal performance and stability in even the most demanding workloads.