New Arrival

AI chips are overheating as data centers scale up to meet global demand for artificial intelligence (AI). Traditional cooling methods like cold plates are reaching their limits, but Microsoft has announced a revolutionary microfluidic cooling system that could transform the future of AI hardware.
The new technology brings liquid coolant directly inside the silicon chip through tiny etched microchannels, cooling up to three times more effectively than current cold plate systems. By combining AI-driven heat mapping with precision fluid control, the system reduces silicon GPU temperatures by up to 65%, boosting efficiency, performance, and sustainability in next-generation AI datacenters.
“Microfluidics would allow for more power-dense designs that will enable more features that customers care about and give better performance in a smaller amount of space. But we needed to prove the technology and the design worked, and then the very next thing I wanted to do was test reliability,” said Judy Priest, Corporate VP and CTO of Cloud Operations and Innovation at Microsoft.
The new technology brings liquid coolant directly inside the silicon chip through tiny etched microchannels, cooling up to three times more effectively than current cold plate systems. By combining AI-driven heat mapping with precision fluid control, the system reduces silicon GPU temperatures by up to 65%, boosting efficiency, performance, and sustainability in next-generation AI datacenters.
“Microfluidics would allow for more power-dense designs that will enable more features that customers care about and give better performance in a smaller amount of space. But we needed to prove the technology and the design worked, and then the very next thing I wanted to do was test reliability,” said Judy Priest, Corporate VP and CTO of Cloud Operations and Innovation at Microsoft.
This innovation not only improves energy efficiency and lowers operational costs but also supports power-dense designs for more compact, high-performance chips. Microsoft successfully tested the solution on simulated Microsoft Teams workloads, proving its reliability and scalability.
With AI workloads intensifying, experts warn traditional cooling could cap innovation within five years. Microfluidics offers a game-changing solution that ensures sustainable, scalable, and high-performance AI infrastructure, keeping Microsoft at the forefront of AI chip cooling technology.
The breakthrough is just one example of how Microsoft is investing and innovating in infrastructure to meet demand for AI services and capabilities. For example, the company plans to spend over $30 billion on capital expenditures in the current quarter.
As a next step, Microsoft continues to investigate how microfluidic cooling can be incorporated into future generations of its first-party chips. It will also continue to work with fabrication and silicon partners to bring microfluidics into production across its data centers, the company said.
“Hardware is the foundation of our services,” said Jim Kleewein, technical fellow, Microsoft 365 Core Management. “We all have a vested interest in that foundation – how reliable it is, how cost effective, how fast, how consistent the behavior we can get from it, and how sustainable, to name just a few. Microfluidics improves each of those: cost, reliability, speed, consistency of behavior, sustainability.”
“Hardware is the foundation of our services,” said Jim Kleewein, technical fellow, Microsoft 365 Core Management. “We all have a vested interest in that foundation – how reliable it is, how cost effective, how fast, how consistent the behavior we can get from it, and how sustainable, to name just a few. Microfluidics improves each of those: cost, reliability, speed, consistency of behavior, sustainability.”
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