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Cryogenic Cooling for AI Data Centers: 2026 UK Guide

London · Servnet News Desk · IT infrastructure analysis4 min read
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AirTrunk has signed an MoU with deep-tech firm Emergence Quantum to explore cryogenic cooling for AI silicon and future quantum systems. It's an early-stage pilot, not a shipping product — and, in our analysis, it lands alongside a broader shift as rising rack densities push UK operators toward liquid cooling as a baseline.

AI rack power density by chip generation (industry analyst projections)
600 kW450 kW300 kW150 kW0 kW163 kWGB300 2026300 kWNVL144 2026600 kWNVL576 2027Projected peak rack power
View the data behind this chart
AI rack power density by chip generation (industry analyst projections)
GB300 2026NVL144 2026NVL576 2027
Projected peak rack powerkW163kW300kW600

What AirTrunk and Emergence Quantum actually announced

AirTrunk, founded in 2018, this week confirmed a partnership and memorandum of understanding with Emergence Quantum (EQ) aimed at bringing cryogenic cooling and quantum computing into its facilities. The companies say cryo-cooling can "significantly improve" the speed and energy efficiency of today's silicon chips, and that the same infrastructure is foundational to future quantum systems.

AirTrunk VP for innovation and intelligence Jose Castaneda framed it as part of a push to keep the company "redefining data centers with cutting-edge technologies," while EQ co-founder and CEO Professor David Reilly put the underlying physics bluntly: "It's been understood for decades that computers run significantly faster and more efficiently in the cold... the cryo-computing epoch has arrived." AirTrunk's current campuses are in Sydney, Melbourne, Singapore, Hong Kong, Johor, Tokyo and Osaka.

Why cryogenic cooling is surfacing now, not five years ago

This isn't happening in isolation. IBM announced on 19 August 2026 that it had joined and cooled two modular cryogenic systems together for the first time, with individual modules standing over 8 feet tall and wide, reaching 4 Kelvin in under five days before falling below 15 millikelvin shortly after. IBM frames this explicitly as a scaling step toward fault-tolerant quantum computing, with plans to install its Quantum Nighthawk processors into the modules later in 2026.

The modules, linked by protected cryogenic tunnels, represent the kind of engineering detail a facilities team would need before even beginning a site feasibility study. That level of specificity, alongside AirTrunk's AI-silicon pilot, suggests cryogenics is edging from physics lab into infrastructure planning conversation, even if commercial deployment remains distant.

The bigger driver: liquid cooling is already becoming mandatory

The more immediate pressure on UK buyers isn't cryogenics — it's the pace at which conventional liquid cooling has gone from optional to unavoidable. Industry analyses project Blackwell GB300 racks to hit 163kW by the end of 2026, Vera Rubin NVL144 racks to need 300kW or more this year, and Rubin Ultra NVL576 racks to exceed 600kW per rack by 2027.

The Register reported that separate tests on two-phase cooling systems found facility water temperatures tolerated up to 54°C (59°C at higher flow), and that a Dell PowerEdge XE9680L fitted with Nvidia B200 accelerators saw cold-plate temperatures cut by as much as 19°C. These figures point to how rapidly thermal design margins are tightening as rack density climbs.

Illustration: Cryogenic Cooling for AI Data Centers: 2026 UK Guide

What this means for UK hyperscalers and colocation operators

For UK buyers, the practical takeaway is a layered one. Cryogenic cooling — as explored by AirTrunk and EQ, and as demonstrated at module scale by IBM — remains a research-and-pilot proposition tied largely to quantum roadmaps, not a near-term retrofit option for commercial AI halls. The real, immediate decision facing UK operators is whether their next-generation racks will need direct-to-chip liquid cooling as standard, given where GB300 and Vera Rubin density curves are heading.

Hyperscalers such as Microsoft are also exploring parallel thermal paths like microfluidics, though independently verified performance figures are not yet publicly available — a reminder that vendors are hedging across several next-generation thermal approaches simultaneously, not betting on one. UK colocation providers evaluating hosting AI racks in UK colocation facilities should treat this as a signal that thermal architecture, not just floor space, is fast becoming a binding constraint on which AI tenants they can serve.

Decision points for buyers planning 2026-2027 refresh cycles

Three things follow directly from the brief facts. First, density is the real trigger: any UK operator planning for GB300, NVL144 or NVL576-class deployments should model rack power density requirements now rather than waiting for hardware delivery dates. Second, power as the real AI bottleneck compounds the cooling question — high-density racks strain both electrical and thermal capacity together, and site selection decisions should reflect that jointly. Third, cryogenics belongs on the watch list, not the 2026 procurement list; it is worth tracking via the UK AI data centre buildout tracker as AirTrunk, EQ and IBM publish further pilot results, but current UK build decisions should be made against liquid-cooling specifications that are already shipping.

Buyers modelling their next refresh should run the numbers through power and cooling tools before committing to a rack architecture, since the gap between air-cooled legacy estates and liquid-ready halls is now measured in hundreds of kilowatts per rack, not tens.

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Key takeaways
  • AirTrunk's MoU with Emergence Quantum is a research pilot exploring cryogenic cooling for AI silicon and future quantum systems, run across AirTrunk's existing Asia-Pacific campuses.
  • IBM has already joined two modular cryogenic systems, reaching 4 Kelvin in under five days and sub-15 millikelvin shortly after (announced 19 August 2026), showing cryo-integration moving beyond single-lab scale.
  • Conventional liquid cooling is the more urgent 2026 decision for UK buyers: industry analyses project GB300 racks at 163kW and NVL144 racks at 300kW+ this year, with NVL576 racks potentially exceeding 600kW by 2027.
  • In our assessment, UK hyperscalers and colocation operators should specify liquid-ready thermal architecture now and treat cryogenic cooling as a multi-year watch item, not an immediate procurement requirement.
Frequently asked

FAQs — Cryogenic Cooling for AI Data Centers

What is cryogenic cooling and why is AirTrunk piloting it?

Cryogenic cooling chills computing hardware to extremely low temperatures — the systems IBM has connected reach 4 Kelvin and then fall below 15 millikelvin — to boost chip speed and efficiency while also underpinning future quantum computing. AirTrunk's MoU with Emergence Quantum is an exploratory partnership to test this for both AI silicon and quantum-ready campuses.

Is cryogenic cooling ready for commercial UK data centres in 2026?

No. The AirTrunk-EQ work is a pilot-stage MoU run across AirTrunk's current campuses in Sydney, Melbourne, Singapore, Hong Kong, Johor, Tokyo and Osaka, and IBM's own cryogenic milestones are being framed around quantum computing scaling rather than mainstream AI server deployment. UK buyers should focus current investment on proven direct-to-chip liquid cooling instead.

How does cryogenic cooling differ from liquid or immersion cooling?

Liquid and immersion cooling operate at temperatures that still allow standard data hall operation and are already deployed at scale in large AI facilities. Cryogenic cooling operates at far lower temperatures than either approach — in a range associated with quantum hardware requirements rather than mainstream server operation — and remains at pilot and lab-module stage.

What should UK buyers do now while cryogenics is still experimental?

Prioritise liquid-cooling readiness for GB300 and Vera Rubin-class racks, model power and thermal capacity together via power and cooling tools, and track cryogenic pilots like AirTrunk-EQ and IBM's modular systems through the UK AI data centre buildout tracker rather than building near-term plans around them.

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