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Microsoft Announces AI-Steered Microfluidic Cooling Built Into Chip Backs

Microsoft pitches a lab prototype that routes liquid through etched channels near hot spots to cut GPU heat, with claimed gains pending reliability tests.

Overview

  • The design moves coolant through thread-like channels etched on the chip’s backside, using AI to target hot spots with leaf-like, bio-inspired flow patterns.
  • Microsoft claims up to three times better cooling than cold plates and about a 65 percent drop in maximum GPU silicon temperature rise, depending on workload and chip type.
  • Demonstrated on a server running simulated Teams meetings, the approach is pitched to enable overclocking, denser rack layouts that can reduce latency, and higher-quality waste-heat reuse.
  • The company emphasizes performance and efficiency in its messaging, with environmental benefits referenced only briefly as sustainability and reduced grid stress.
  • The work remains a prototype requiring reliability testing, manufacturing integration, scaling plans, and independent verification before any broad deployment.