Does Schneider Electric Hold the Key to AI Cooling?

The rapid expansion of AI infrastructure is placing new pressure on data centres as operators manage greater power demands and more complex cooling requirements.

At Datacloud Global Congress 2026 in Cannes, Schneider Electric will focus on the technologies and partnerships it says are needed to support the next phase of AI-driven facilities.

The company plans to demonstrate power architecture, liquid cooling systems, software platforms and digital engineering tools designed for AI-ready environments.

The event will run from 1–4 June and aims to bring together tech and infrastructure leaders examining how data centres adapt to growing AI workloads.

Analysts continue to project sharp increases in AI infrastructure investment, with Morgan Stanley research estimating nearly US$3tn in AI-related infrastructure spending by 2028. Gartner also forecasts global AI spending will exceed US$2.5tn this year.

This growth increases the pressure on electrical systems, thermal management and network resiliency.

Facilities supporting generative AI workloads now require higher-density deployments and more advanced cooling methods than many legacy sites support.

NVIDIA blueprints and digital twins

Schneider Electric plans to use this event to outline how operators can design and deploy infrastructure capable of supporting large-scale AI environments.

On the opening day, Sébastien Cruz-Mermy, VP Datacenter Innovation at Schneider Electric, will lead a technical session focused on AI facility design.

The session will examine ultra-high-density rack deployments, DC power delivery systems and cooling technologies that are becoming standard requirements for AI infrastructure.

The company is also hosting a private executive briefing with NVIDIA focused on operational planning for AI data centres.

The session aims to explore NVIDIA’s 5-Layer Cake framework and the DSX Blueprint, which uses Digital Twin technology to simulate data centre environments before physical deployment. Schneider Electric says these tools are becoming increasingly important as AI facilities scale.

The company has also planned demonstrations involving NVIDIA Omniverse integrations, NVIDIA Reference Designs for the GB300 NVL72 platform and Grace Blackwell Ultra architecture.

These systems support simulation, infrastructure planning and operational management for AI deployments.

Schneider Electric’s engineering demonstrations also include its 800 VDC architecture. Direct current power systems are attracting attention within the sector because they can improve efficiency and simplify power conversion inside high-density environments.

Data centre ecosystem pressure

Beyond hardware deployments, Schneider is placing strong emphasis on collaboration between utilities, developers and infrastructure providers.

On 2 June, Frédéric Godemel, EVP Energy Management Business at Schneider Electric, will join executives from Oracle, DATA4, QTS Data Centres and CBRE for a keynote panel examining how the data centre ecosystem responds to AI demand.

The discussion will focus on neocloud operators, and also examine how Europe competes as demand for AI infrastructure accelerates.

Another session chaired by Schneider Electric will dive deep into project funding, utility coordination and engagement with local governments before construction begins.

Thierry Chamayou, Vice President of Cloud and Service Providers in EMEA at Schneider Electric, will join representatives from GreenScale, Trench Group, Kao Data, JSM Group and Solar Turbines to discuss deployment strategies.

Marc Garner, Global President Cloud and Service Provider Segment at Schneider Electric, says: “AI is fundamentally reshaping the future of digital infrastructure, creating new demands around power, cooling and resiliency, at unprecedented scale.

“At Datacloud Global Congress, we will demonstrate how collaboration across the ecosystem is enabling the next generation of AI factories and helping organisations build scalable, resilient and sustainable infrastructure, built for the AI era.”

The company positions ecosystem coordination as a practical requirement for delivering AI facilities at scale, especially as operators face grid constraints and rising infrastructure costs.

Liquid cooling moves into focus

Cooling technology will be one of the key themes of the event as operators look for ways to manage heat generated by accelerated computing systems.

Schneider Electric plans to showcase liquid cooling technologies from Motivair by Schneider Electric, including the MCDU-70 Coolant Distribution Unit.

The CDU is designed for data centres operating at gigawatt scale and supports deployments requiring up to 2.5MW of cooling capacity.

The company will also demonstrate its EcoStruxure IT DCIM and EcoStruxure Foresight platforms. Schneider Electric says DCIM platforms support operational visibility and predictive management across AI-ready sites.

Microgrid technologies and broader Data Center Services will also form part of the company’s showcase, which help operators improve resiliency and energy management.

As AI infrastructure investment accelerates, operators continue balancing capacity growth with energy efficiency, cooling performance and operational resilience.

Datacloud Global Congress 2026 will place those engineering challenges at the heart of the discussion as infrastructure providers prepare for larger and more power-intensive AI deployments.