Imagine a computer that uses its own waste heat to power its own air conditioner. Instead of using massive, power-hungry fans and chillers, this system uses special 3D-printed materials and liquids to soak up heat and turn it back into cooling. It's like a smart thermos that keeps the processor cool by recycling the heat it generates.
High-performance computing chips generate extreme heat that traditional air and water cooling cannot handle efficiently. This leads to massive energy waste and expensive cooling infrastructure costs.
A system of adsorption chillers using 3D-printed heat exchangers and composite adsorbents. It includes a two-phase cooling loop and an AI-assisted management tool for processor optimization.
If you are an operator dealing with massive heat loads from AI chips—this project developed a two-phase cooling system that handles heat fluxes like the Nvidia H100's 70 W/cm2. It recovers 50% of waste heat to create more cooling power, slashing electricity bills.
If you are a manufacturer dealing with space constraints in small data centers—this project developed rack-integrated adsorption chillers for rear doors. This allows high-power processors to be cooled without needing separate, bulky external cooling infrastructure.
If you are a provider dealing with overheating in remote HPC installations—this project developed an active management system that optimizes processor tasks based on cooling capacity. This prevents thermal throttling and extends hardware lifespan.
Based on available project data, specific pricing or cost-per-unit is not provided; the project focuses on technical development and efficiency gains.
The project is currently developing new designs for adsorption chillers and 3D-printed heat exchangers. It targets two scales: large HPC supercomputers and small individual racks.
Based on available project data, specific licensing terms are not mentioned, though the project involves 8 industrial partners who likely contribute to and benefit from the IP.
It integrates via two-phase cooling for processors and an interoperable control system based on the EAR platform, including a rear-door solution for racks.
The project period runs from 2024-07-01 to 2027-06-30, suggesting the technology will be refined through 2027.
The consortium is heavily industry-driven with a 67% industry ratio, comprising 8 SMEs and 4 other partners across 5 countries. This strong industrial presence, combined with only one university and two research centers, suggests a high priority on commercial viability and practical application over pure academic research.
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