$10,000 AI-engineered cooler keeps Core i9-14900KF cool at 7.5GHz

Pushing the boundaries: Enthusiasts are always looking for an edge in the world of overclocking and extreme cooling. In this wild test, the team tried to determine if advanced GenAI and 3D printing could help them squeeze more performance out of today’s processors. To answer this, they built a container of liquid nitrogen (LN2) in a completely new way – and came to some interesting conclusions.

The project brought together experts from across the ecosystem – Skatterbencher which is known for its overload capability; Diabatix, specializing in generative AI for thermal solutions; 3D systems for additive manufacturing; and finally ElmorLabs for overclocking equipment.

The team took ElmorLabs’ existing Volcano LN2 container as a benchmark, then loaded Diabatix’s AI ColdStream Next to generate an improved design. 3D Systems then brought that digital plan to life, 3D printing a prototype using oxygen-free copper powder. Shockingly, though, the advanced process commanded a steep price tag of $10,000 — a far cry from the $260 cost of the original Volcano.

The AI/3D printed design showed promise in early testing, focusing on three key metrics: cooling time from room temperature to -194°C, heating time from -194°C to 20°C under a load 1250 W, and the lowest temperature achieved using 500 mL of liquid nitrogen.

It passed the volcano at cooling speed, cooling from 28°C to -194°C in less than a minute compared to the volcano’s 3-minute pace. Heating performance was also better, with the AI ​​container heating up 30% faster. Efficiency also favored the AI ​​design – using 500ml of LN2, it reached -133°C, while the volcano stopped at -100°C.

However, since these tests are not representative of real-world performance, the team decided to run three more using the Intel Core i9-14900KF Raptor Lake processor. First, they fired up Cinebench 2024 to find the most stable maximum CPU frequency.

“We find that both LN2 containers can handle the Core i9-14900KF with P cores clocked at 7.4GHz without any problems. It looked like the AI-generated design could probably hold 7.5GHz just a bit longer. But this can be run – variation to run,” they noted.

In the second test, they checked the temperature deltas of the CPU between the heat spreader and the base of the cooling container to evaluate the real heat transfer capabilities. There was also a comprehensive stress test, pushing over 600W through the chip for several minutes.

While the AI ​​container pulled ahead a bit, the gains were relatively muted compared to the theory test results. The temperature deltas between the CPU heat spreader and the base of the container were narrower on the 3D printed model, but not by an earth-shattering margin. Even the performance boost in Cinebench was quite modest, as seen above.

After crunching the numbers, the team determined that while technically impressive, the AI/3D printed design currently doesn’t break out from a cost/benefit perspective for modest overload scenarios. Not at that $10,000 price tag.

However, they have not yet been carried out. While “nothing concrete” is in hand, the team says they may look into performance and cost optimization. The design of the LN2 container does not necessarily have to be circular, for example. They are also exploring new models for higher powered CPUs like Ryzen Threadripper or Intel’s Xeon 6.

Overall, the feasibility study may have exposed some limitations, but it also proved that generative AI has better uses than just churning out six-finger patterns.

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Image Source : www.techspot.com

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