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Monday, February 23, 2026

AI Knowledge Facilities Examine Excessive-Temperature Superconductors


Knowledge facilities for AI are turning the world of energy era on its head. There isn’t sufficient energy capability on the grid to even come near how a lot vitality is required for the quantity being constructed. And conventional transmission and distribution networks aren’t environment friendly sufficient to take full benefit of all the facility accessible. In keeping with the U.S. Vitality Info Administration (EIA), annual transmission and distribution losses common about 5 p.c. The speed is way larger in another elements of the world. Therefore, hyperscalers corresponding to Amazon Internet Companies, Google Cloud and Microsoft Azure are investigating each avenue to achieve extra energy and lift effectivity.

Microsoft, for instance, is extolling the potential virtues of high-temperature superconductors (HTS) as a substitute for copper wiring. In keeping with the corporate, HTS can enhance vitality effectivity by decreasing transmission losses, rising the resiliency {of electrical} grids, and limiting the influence of knowledge facilities on communities by decreasing the quantity of house required to maneuver energy.

“As a result of superconductors take up much less house to maneuver giant quantities of energy, they might assist us construct cleaner, extra compact methods,” Alastair Speirs, the final supervisor of worldwide infrastructure at Microsoft wrote in a weblog submit.

Copper is an effective conductor, however present encounters resistance because it strikes alongside the road. This generates warmth, lowers effectivity, and restricts how a lot present could be moved. HTS largely eliminates this resistance issue, because it’s made from superconducting supplies which are cooled to cryogenic temperatures. (Regardless of the identify, high-temperature superconductors nonetheless depend on frigid temperatures—albeit considerably hotter than these required by conventional superconductors.)

The ensuing cables are smaller and lighter than copper wiring, don’t decrease voltage as they transmit present, and don’t produce warmth. This suits properly into the wants of AI knowledge facilities which are making an attempt to cram huge electrical masses right into a tiny footprint. Fewer substations would even be wanted. In keeping with Speirs, next-gen superconducting transmission traces ship capability that’s an order of magnitude larger than typical traces on the similar voltage degree.

Microsoft is working with companions on the development of this know-how together with an funding of US $75 million into Veir, a superconducting energy know-how developer. Veir’s conductors use HTS tape, mostly based mostly on a category of supplies often known as rare-earth barium copper oxide (REBCO). REBCO is a ceramic superconducting layer deposited as a skinny movie on a metallic substrate, then engineered right into a rugged conductor that may be assembled into energy cables.

“The important thing distinction from copper or aluminum is that, at working temperature, the superconducting layer carries present with nearly no electrical resistance, enabling very excessive present density in a way more compact type issue,” says Tim Heidel, Veir’s CEO and co-founder.

Liquid Nitrogen Cooling in Knowledge Facilities

A man poses in front of a server rack next to a large display showing graphs. Ruslan Nagimov, the principal infrastructure engineer for Cloud Operations and Innovation at Microsoft, stands close to the world’s first HTS-powered rack prototype.Microsoft

HTS cables nonetheless function at cryogenic temperatures, so cooling have to be built-in into the facility supply system design. Veir maintains a low working temperature utilizing a closed-loop liquid nitrogen system: The nitrogen circulates by means of the size of the cable, exits on the far finish, is re-cooled, after which recirculated again to the beginning.

“Liquid nitrogen is a plentiful, low value, secure materials utilized in quite a few vital business and industrial purposes at huge scale,” says Heidel. “We’re leveraging the expertise and requirements for working with liquid nitrogen confirmed in different industries to design steady, knowledge heart options designed for steady operation, with monitoring and controls that match vital infrastructure expectations slightly than lab situations.”

HTS cable cooling can both be finished throughout the knowledge heart or externally. Heidel favors the latter as that minimizes footprint and operational complexity indoors. Liquid nitrogen traces are fed into the power to serve the superconductors. They ship energy to the place it’s wanted and the cooling system is managed like different facility subsystem.

Uncommon earth supplies, cooling loops, cryogenic temperatures—all of this provides significantly to prices. Thus, HTS isn’t going to switch copper within the overwhelming majority of purposes. Heidel says the economics are most compelling the place energy supply is constrained by house, weight, voltage drop, and warmth.

“In these instances, the worth exhibits up on the system degree: smaller footprints, decreased resistive losses, and extra flexibility in the way you route energy,” says Heidel. “Because the know-how scales, prices ought to enhance by means of higher-volume HTS tape manufacturing and higher yields, and likewise by means of standardization of the encompassing system {hardware}, set up practices, and working playbooks that scale back design complexity and deployment threat.”

AI knowledge facilities have gotten the proper proving floor for this strategy. Hyperscalers are prepared to spend to develop higher-efficiency methods. They will steadiness spending on improvement in opposition to the income they could make by delivering AI companies broadly.

“HTS manufacturing has matured—significantly on the tape aspect—which improves value and provide availability,” says Husam Alissa, Microsoft’s director of methods know-how. “Our focus presently is on validating and derisking this know-how with our companions with concentrate on methods design and integration.”

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