Intel Unveils 1,000 W Liquid Cooling Modules for High-Performance Chips

Intel´s new package-level liquid cooling architecture promises to move up to 1,000 watts of heat, aiming to meet the demands of Artificial Intelligence, scientific computing, and next-gen data centers.

Intel has introduced an advanced liquid cooling solution, showcasing prototypes that integrate microchanneled copper blocks directly onto the processor package at its Foundry Direct Connect event. The innovation was demonstrated on LGA desktop CPUs, BGA server processors, and Artificial Intelligence acceleration modules. Rather than cooling the bare silicon itself, a precisely etched copper block channels coolant directly over the chip´s hottest areas, reportedly removing up to 1,000 watts of heat in laboratory tests. This thermal output addresses the requirements of tasks like Artificial Intelligence training, scientific simulations, and professional workstation loads rather than commonplace consumer PC use.

The core of Intel´s approach is meticulous management of every thermal interface layer, from the silicon die and solder or liquid-metal thermal interfaces to the integrated heat spreader and water block. By minimizing or eliminating traditional barriers, the system achieves approximately 20% more effective cooling compared to conventional water blocks mounted on delidded dies. The copper microchannel block measures only a few millimeters in height yet supports substantial coolant flow rates. During chip design, Intel´s engineers optimize the placement of power-intensive components to ensure the new cooling channels target the most thermally demanding regions, enabling a denser and more powerful chip architecture.

This package-level liquid cooling design reflects nearly two decades of research and refinement by Intel, representing a deep co-design of chip and cooling hardware unattainable with current off-the-shelf solutions. As processors continue to increase in performance and density, such tightly integrated liquid cooling technology could become essential for high-density data centers and enthusiast computing platforms, potentially transitioning from experimental labs to mainstream deployment in the near future.

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