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Schneider Electric unveils Uniflair XCA chillers

Global energy technology company Schneider Electric has introduced the Uniflair XCA range of air-cooled and free-cooling chillers, designed for high-density, liquid-cooled data centres supporting AI workloads. The new portfolio comprises the Uniflair XCAC air-cooled series and the Uniflair XCAF free-cooling series. Both incorporate oil-free centrifugal compressors with magnetic bearing technology and variable-speed drives to support operation across varying thermal loads and environmental conditions. The chillers are available in six sizes, ranging from 1,200kW to 2,500kW, and utilise low global warming potential (GWP) refrigerants. Schneider Electric says the systems are designed to support elevated water temperatures commonly associated with liquid cooling deployments in AI data centres. Andrew Bradner, Senior Vice President, Cooling Business at Schneider Electric, notes, "Energy efficiency, adaptability, and reliability are essential components of liquid cooling systems for AI-optimised data centres, and we’ve designed the Uniflair XCA line with these most important design features at the forefront. "With adaptable water operating temperatures and versatile deployment options, the XCA line features a system-level approach that gives operators scalability, enhanced performance, and long-term peace of mind as data centre complexity continues to rise." Cooling infrastructure adapts to rising AI power densities As AI applications, GPU clusters, and liquid cooling deployments increase data centre power densities, cooling infrastructure is becoming an increasingly important factor in facility efficiency and reliability. The Uniflair XCA platform incorporates oil-free magnetic bearing centrifugal compressors, which remove the need for lubrication systems and are intended to reduce maintenance requirements and mechanical losses. The chillers also feature a spray evaporator combined with V-shaped microchannel coils, designed to improve heat exchange performance while reducing refrigerant volume and material usage. For free-cooling deployments, the XCAF models support water outlet temperatures of up to 33°C and are designed to operate in ambient temperatures ranging from -20°C to 52°C. Schneider Electric states that, in suitable climates, the free-cooling configuration can reduce energy consumption compared with mechanical cooling systems by extending free-cooling operating periods. The range can also be configured with a variety of electrical, hydraulic, acoustic, and performance options to suit different deployment requirements. Additionally, a quick restart capability is included, enabling systems to reportedly return to full operating capacity within three minutes of a power outage. New control features target operational efficiency The XCA range also introduces new firmware and control functions designed to optimise cooling performance. These include variable-speed pump algorithms supporting constant flow, constant temperature differential, and constant head pressure operation, alongside advanced fan control modes that can be adjusted according to temperature, load conditions, or scheduled operating periods. Additional monitoring capabilities include energy metering and real-time water flow measurement to provide greater visibility into system performance. According to Schneider Electric, these features are designed to reduce compressor cycling and improve long-term operational stability. The first Uniflair XCA chiller units are scheduled to begin shipping globally in June 2026. For more from Schneider Electric, click here.

Panduit expands fault managed power portfolio

Panduit, a manufacturer of electrical and network infrastructure hardware, has launched the second generation of its Fault Managed Power System (FMPS), introducing higher power density and additional deployment options for enterprise environments. Designed for centralised power distribution, the FMPS Gen 2 platform is intended for use across campuses, warehouses, and large distributed facilities. The system uses Class 4 fault managed power technology, which allows power to be delivered over longer distances using low-voltage installation methods. According to Panduit, the platform is UL 1400 listed and SIL 3 rated, enabling organisations to distribute power while reducing electrical hazards and simplifying installation requirements. The company also states that the system uses less copper than traditional power distribution methods and remains backward compatible with existing FMPS deployments, allowing infrastructure upgrades without replacing existing installations. A key feature of the platform is the consolidation of backup power systems. By centralising UPS infrastructure rather than deploying units within individual intermediate distribution frames (IDFs), organisations can reduce equipment requirements, maintenance demands, and space utilisation. New hardware targets enterprise and edge deployments The FMPS Gen 2 portfolio includes a new 2kW system comprising a 1kW transmitter, a 2kW power supply, and a 2kW receiver. The range also includes a 600W single-channel receiver designed for applications such as lighting and security systems. Additional updates include higher-density power delivery within the same footprint, expanded receiver options, and support for both PoE++ and DC-powered devices. The platform is designed to support a range of applications including enterprise networking equipment, security and surveillance systems, wireless and in-building cellular infrastructure, lighting, and smart building technologies. Mahmoud Ibrahim, Senior Business Development Manager at Panduit Ventures, says, "FMPS Gen 2 reinforces our commitment to making enterprise power safer, simpler, and more efficient. "By increasing power density and enabling true UPS consolidation, customers can place power where it’s needed, remove complexity from IDFs, and confidently support the growing demands of modern networks - all without introducing new risk." The platform also incorporates monitoring and management capabilities intended to provide centralised visibility of connected infrastructure and support future expansion. Tom Kelly, Chief Technology Officer at Panduit, explains, "FMPS is engineered and designed by Panduit as a complete power platform, integrating power, cabling, and physical infrastructure into a single, coordinated solution. "Drawing on the expertise that developed the first generation of UL-listed Class 4 power distribution products, Panduit has engineered a second-generation system that aligns with where the market is going while also meeting requests from customers and partners in the space. "We’re excited to see the market transformation taking shape, as Class 4 power distribution adoption grows." For more from Panduit, click here.

Pure DC launches carbon removal platform

A Healthier Earth (AHE), the climate technology research and development subsidiary of Pure Data Centres Group (Pure DC), has launched a carbon removal platform designed to increase the availability of biochar-based carbon removal credits for hyperscale operators, enterprises, and institutional buyers. According to AHE, the platform combines carbon removal project development, financing, governance, and verification within a single framework. The company says the initiative is intended to address challenges associated with the fragmented nature of the current carbon removal market. The launch comes as demand for carbon removal projects increases alongside broader corporate decarbonisation targets and continued investment in AI infrastructure. Gary Wojtaszek, Executive Chairman and interim CEO of Pure DC, comments, “What we’re doing at Pure DC is the first of its kind anywhere in the world. "In Dublin, we’ve demonstrated that net zero carbon, self-powered data centres are deliverable. Now, with our Biochar Integrated Carbon Removal from AHE, we’re making them scalable. “This isn’t incremental improvement; it’s a complete reset of how this sector will be built going forwards.” AHE says it is expanding its commercial, scientific, and operational capabilities to support the development of the platform as it moves from individual projects towards a longer-term operating model. Platform combines carbon removal projects and verification According to AHE, the platform combines company-owned production facilities with partner-developed projects, operating under a common governance structure and technical standards. All carbon removal credits generated through the platform will be certified under the Isometric Standard and supported by digital monitoring, reporting, and verification technology from Mangrove Systems. The company says this approach is intended to provide buyers with greater consistency, transparency, and traceability across carbon removal projects. Lukas May, Chief Commercial Officer at Isometric, states, “The data centre sector needs scalable, high-quality carbon removal and the confidence that every credit represents genuine climate impact. We’re looking forward to working with A Healthier Earth to deliver on that mission.” Brandon Vlaar, CEO of Mangrove Systems, adds, “We’re proud to be chosen as AHE’s digital data infrastructure partner, combining automation and AI-enabled tools to ensure every tonne of carbon removed through the platform is measured, accurate, and verified.” Carbon removal linked to data centre decarbonisation plans Pure DC says the platform forms part of its wider decarbonisation strategy and will support discussions with hyperscale customers and other organisations seeking to address residual emissions alongside energy efficiency measures. According to the company, the platform is designed to complement carbon reduction initiatives across its data centre campuses while providing customers with access to independently verified carbon removal projects. AHE says the framework has been developed to provide long-term access to carbon removal credits while maintaining oversight through centralised governance, verification processes, and project monitoring. For more from Pure DC, click here.

Schneider to showcase AI infrastructure at Datacloud

Global energy technology company Schneider Electric has announced it will present its latest AI-ready data centre technologies during the Datacloud Global Congress 2026 in Cannes, France, from 1–4 June 2026. The company says it will showcase technologies designed to address increasing demands around power delivery, cooling, resiliency, and high-density compute as AI workloads continue to scale. According to Schneider Electric, the event will focus on infrastructure designed for AI deployments, including power architectures, liquid cooling systems, software platforms, and digital services for data centre environments. The company cites forecasts from Morgan Stanley and Gartner predicting significant growth in AI-related infrastructure investment and global AI spending over the coming years. Industry discussions to focus on AI growth challenges On 2 June, Frédéric Godemel, EVP of Energy Management Business at Schneider Electric, will join representatives from Oracle, DATA4, QTS Data Centers, and CBRE for a keynote panel examining AI infrastructure demand and the development of neocloud deployments. Later that same day, Thierry Chamayou, Vice President of Cloud and Service Providers in EMEA at Schneider Electric, will participate in a separate panel discussing energy investment strategies and utility collaboration for AI infrastructure projects. Participants include representatives from GreenScale, Trench Group, Kao Data, JSM Group, and Solar Turbines. Marc Garner, Global President of Schneider Electric’s Cloud and Service Provider Segment, 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.” Liquid cooling and AI data centre technologies on display Schneider Electric will also present technologies including its 800VDC architecture, liquid cooling systems from Motivair, high-density racks, and digital modelling platforms. The company says demonstrations will include NVIDIA Omniverse integrations, digital twin technologies, and NVIDIA reference designs for the GB300 NVL72 platform. Visitors to Stand 122 will also be able to view the company’s EcoStruxure IT DCIM and EcoStruxure Foresight software platforms, alongside its microgrid and data centre services portfolio. For more from Schneider Electric, click here.

Kao Data appoints new CEO

Kao Data, a data centre developer and operator, has appointed Spencer Lamb as Chief Executive Officer as the company continues expanding its AI-focused data centre platform across the UK. Spencer Lamb, who joined Kao Data in January 2020, previously served as Managing Director and Chief Commercial Officer. He will now oversee day-to-day operations and growth strategy alongside founder and Executive Chairman David Bloom. According to the company, Spencer will focus on the development of Kao Data’s AI-ready data centre capacity and support the continued growth of its UK facilities. David Bloom will remain Executive Chairman, concentrating on long-term strategy, financing, partnerships, and engagement with government around AI infrastructure and energy development. During his time at Kao Data, Spencer has led the company’s commercial strategy and supported the expansion of its portfolio across Harlow, Slough, Northolt, Park Royal, Greater Manchester, and additional sites under development. The company says he has also played a key role in developing the Harlow campus as a location for high-performance computing, AI workloads, scientific research, and life sciences computing. A leadership change to support AI infrastructure growth Kao Data says the leadership structure is intended to support the company’s next phase of growth as demand for AI and high-density computing infrastructure increases. Spencer comments, “I have loved my time at Kao Data, and I am excited to step up and lead the company as its CEO. “I am looking forward to ensuring Kao Data continues to play a strong and defining role in the UK’s AI infrastructure story, and that we keep delivering for our customers, our people, and the communities we operate in.” David Bloom, Executive Chairman at Kao Data, adds, “Spencer’s appointment formalises what has been an increasingly natural evolution in how we lead this business. “As CEO, Spencer will drive Kao Data’s operations and day-to-day growth strategy, while I remain directly focused on the strategic priorities that will shape our next chapter: major financing, capital partnerships, M&A, and our ongoing engagement with government on the UK’s AI infrastructure agenda.” Spencer Lamb’s appointment as Chief Executive Officer is effective immediately. For more from Kao Data, click here.

Data centre cycling event returns to Cannes

The Data Center Cycling Club (DC.CC) will return to the French Riviera ahead of the Datacloud Global Congress 2026, bringing together riders from across the global data centre sector for a charity cycling challenge in Cannes. Now in its fourth year, the event will see 17 riders from nine companies complete a three-day route across the French Riviera between 29 May and 31 May 2026. Organisers say the event is intended to promote wellbeing, industry networking, and fundraising for charity. Founded by Tom Babbington, DC.CC has expanded each year since launching, with support from businesses across the data centre industry. This year’s routes begin in Cannes and include climbs and coastal roads across the region, including Col de la Madone, Gorges du Loup, the Mediterranean coastline, and Mont Vinaigre. Riders are expected to cover approximately 500km and 7,644m of elevation across the three days. The event will again be led by Marcus Cram, event manager and cyclist, alongside UK National Hill Climb Champion Rachel Galler, who will act as guide for the tour. Tom Babbington, Founder of DC.CC, says, “When I founded the Data Center Cycling Club, I believed our industry was full of people who love a challenge, love a cause, and love the opportunity to come together through cycling. “This event is about much more than the kilometres we ride; it’s about building connections across the industry and supporting a charity carrying out life-changing work for children and families.” DC.CC supports children’s medical research charity Funds raised through the 2026 event will go to Action Medical Research, a UK charity that funds medical research focused on children and babies. According to the charity, its research funding has contributed to developments including polio vaccines, meningitis treatment, and ultrasound scanning during pregnancy. Lucy Holloway, Corporate Partnerships & Events Management Executive at Action Medical Research, comments, “Support from initiatives like DC.CC helps us to continue funding the next generation of medical breakthroughs for babies, children, and families across the UK.” DC.CC first launched with the Tour of Europe ride from Amsterdam to Monaco, timed to coincide with the opening of Datacloud Global Congress. Organisers say participation has continued to grow since the inaugural event. This year’s event is supported by companies from across the data centre sector, including Adaptive MDC, Pentagon Technical Services, EAE Group, Ridge & Partners, Spa Communications, GagaMuller, Kolo DC, Zauner Group, and B + R Architects.

Pure DC secures $2.7bn AI data centre funding

Pure Data Centres Group (Pure DC), a designer, developer, and operator of hyperscale data centres, has secured $2.7 billion (£2 billion) in financing to support the expansion of its AI and hyperscale data centre infrastructure across Europe and the Middle East. The financing package includes a $2.15 billion (£1.5 billion) facility secured against the company’s campuses in Dublin and Amsterdam, alongside an increase in its corporate financing facility to $550 million (£408 million). The expanded financing structure includes support from financial institutions including SMBC, ABN AMRO, and Allianz Global Investors. According to Pure DC, the $2.15 billion (£1.5 billion) facility was syndicated within three months and will support continued development at its Dublin and Amsterdam sites. Construction is currently underway at the Amsterdam campus, which is fully leased. The company notes its Dublin campus recently became Europe’s first carbon net zero data centre microgrid. Located in the Ballycoolin area, the campus is designed to provide up to 150MW of IT capacity, with 54MW currently permitted. Expansion plans across FLAP-D and the Middle East Pure DC says the increase in its corporate financing facility will support investment in new FLAP-D sites and AI-focused data centre campuses across the region. The company states that the funding structure is intended to provide greater flexibility when securing sites and progressing future developments. The business is also targeting further expansion in the Middle East, which it identifies as a growth market for AI and hyperscale infrastructure over the coming decade. Gary Wojtaszek, Executive Chairman and interim CEO of Pure DC, comments, “Pure DC is rapidly positioning itself at the centre of Europe and the Middle East’s AI transformation, leveraging one of the region’s fastest-growing FLAP-D hyperscale platforms to deliver the next generation of AI inferencing infrastructure. “The support we’re seeing from leading global financial institutions reflects that. This funding demonstrates strong market confidence in Pure’s leadership team and strategy.” Mike Schwartz, Chief Financial Officer at Pure DC, adds, “Over the past 12 months, we have materially strengthened and diversified our financing platform, bringing in high-quality institutional partners and increasing available capital. “The successful syndication of the $2.15 billion facility and the expansion of our corporate facility demonstrate both the depth of market demand and the confidence lenders have in our assets, structure, and strategy. “Importantly, the combination of asset-level and corporate-level financing gives us the flexibility to accelerate investment across the business and act decisively as new opportunities arise.” For more from Pure DC, click here.

Schneider supplies AI infrastructure for Lake Mariner campus

Global energy technology company Schneider Electric and Motivair, a provider of liquid cooling systems for data centres, owned by Schneider Electric, have completed phased delivery of more than $290 million (£215 million) in AI infrastructure systems for TeraWulf at its Lake Mariner data centre campus in New York, USA. The companies say the project is focused on supporting scalable AI and high-performance computing (HPC) infrastructure, with the Lake Mariner campus expected to support up to 750MW of power demand once fully developed. TeraWulf explains that the site is being redeveloped from a former industrial location into a data centre campus designed for AI, cloud, and HPC workloads, and that the project combines power infrastructure, cooling technologies, racks, monitoring systems, and engineering services from Schneider Electric and Motivair. The company adds that the campus benefits from access to existing power infrastructure and a regional electricity grid that is approximately 89% zero-carbon. Sean Farrell, Chief Operating Officer at TeraWulf, comments, “TeraWulf’s strategy is centred on delivering scalable, energy-efficient infrastructure capable of supporting the increasing intensity of AI and HPC workloads. "By working closely with industry leaders like Schneider Electric and Motivair, we are accelerating the development of AI-ready capacity at our Lake Mariner facilities while reinforcing the strong operational foundations needed to support long-term customer demand.” Project combines power, cooling, and monitoring systems Schneider Electric says the deployment included Galaxy VX UPS systems, lithium-ion battery systems, EcoStruxure IT Data Center Expert software, and NetShelter racks and enclosures. Meanwhile, Motivair supplied coolant distribution units (CDUs), in-rack manifolds, chilled door technologies, and associated support services. The companies state that the systems were delivered within a 12-month deployment timeframe as TeraWulf accelerated construction of its AI-ready data centre facilities. The Lake Mariner campus is also supported by long-term customer agreements with Core42 and Fluidstack, with the latter being backed by Google. Manish Kumar, Executive Vice President, Secure Power & Data Centers at Schneider Electric, notes, “As demand for AI infrastructure accelerates, ‘time to power’ has become a defining constraint on growth. "Operators need partners who can bring together advanced infrastructure, services, and expertise in energy technology to underpin large-scale AI data centre deployments at pace. “Our partnership with TeraWulf establishes a strategic blueprint for pairing on-site power, AI-enabled automation, advanced liquid cooling, and digital intelligence at a legacy industrial site. We are delivering resilient, efficient, and scalable data centre solutions at the speed and scale this AI era demands.” For more from Schneider Electric, click here.

LiquidStack expands GigaModular CDU capacity

LiquidStack, a US-based provider of liquid cooling technology for data centres, has expanded the scaling capabilities of its GigaModular CDU platform, with the system now validated for deployments of up to 14MW. The modular liquid cooling platform is designed for AI and high-density data centre environments, including infrastructure aligned with NVIDIA Vera Rubin specifications. LiquidStack says the architecture is intended to allow operators to expand cooling capacity incrementally without large-scale infrastructure redesigns. First introduced in June 2025, the GigaModular platform has now completed multi-module system integration and full-load testing. The company says the system has achieved ETL certification and has been released to manufacturing. The announcement comes amid continued growth in AI infrastructure demand and increasing pressure on data centre capacity. According to CBRE, the global weighted average data centre vacancy rate reached 6.6% during the first quarter of 2025. Modular cooling aimed at AI infrastructure growth LiquidStack says the platform has been designed to support phased AI infrastructure expansion through modular deployment and centralised controls. Key features of the GigaModular CDU platform include: • Centralised system controls intended to simplify operations and reduce infrastructure redundancy• Modular scaling designed to support phased AI deployment growth• Flexible cooling distribution architecture for changing rack densities and facility layouts• Support for high-density GPU environments and large-scale AI deployments• Global service support through Trane Technologies, LiquidStack's parent company Joe Capes, Vice President at Trane Technologies and General Manager of LiquidStack, says, “The challenge for AI infrastructure today is the ability to scale quickly and efficiently enough to keep pace with demand. "GigaModular was designed to remove the infrastructure constraints limiting AI growth through a centrally controlled, modular architecture built for system-level scalability, flexible deployment, and hyperscale AI expansion.” LiquidStack has also announced it will demonstrate the GigaModular platform at Datacloud Global Congress 2026, taking place from 2–4 June in Cannes, France. For more from LiquidStack, click here.

Huawei launches AI data centre infrastructure platform

Chinese multinational technology company Huawei has introduced a new full-stack data infrastructure platform designed for AI data centres and large-scale enterprise AI deployments. The announcement was made during the Huawei Innovative Data Infrastructure (IDI) Forum 2026 on 21 May in Paris, France, where Yuan Yuan, Vice President of Huawei and President of the company’s Data Storage Product Line, outlined the growing role of AI infrastructure in enterprise operations. According to Huawei, increasing adoption of AI agents and AI applications is driving significant growth in enterprise data processing and token consumption, requiring organisations to redesign traditional IT infrastructure around AI workloads. With this in mind, the company says its platform has been developed to support AI data lakes, inference systems, model deployment, agent frameworks, and data resilience. Platform targets large-scale AI workloads Huawei says the infrastructure platform combines storage, data management, model deployment, and AI orchestration technologies intended for enterprise and hyperscale AI environments. The company introduced updates across several areas of its AI infrastructure portfolio, including: • OceanStor Pacific Scale-Out Storage for high-density data storage• DME Omni-Dataverse unified data management platform• Context Memory Storage for AI inference environments• ModelEngine deployment and resource scheduling platform• Nexent AI agent framework• AI-focused data resilience and protection technologies Firstly, Huawei says its OceanStor Pacific storage platform can deliver 11PB of capacity within a 2U chassis, enabling massive data storage at "optimal total cost of ownership" (TCO), while DME Omni-Dataverse is designed to support multimodal and cross-site data management. The company also introduced its Context Memory Storage system, which it says is designed for large-scale inference clusters and can reportedly reduce time to first token by 90%. AI infrastructure evolves beyond compute alone Huawei states that AI infrastructure planning increasingly requires integration between storage, compute, models, and data management systems, rather than focusing solely on GPU capacity. The company says its ModelEngine platform supports model deployment and compute resource scheduling, including partitioning resources across multiple workloads. Huawei also introduced the Nexent agent platform, which is designed to allow AI agents to be generated through natural language interactions. “AI is unlocking new opportunities for the IT industry," says Yuan. "The next chapter of AI is data. "Committed to technological innovation in data storage, Huawei will accumulate the experience of industrial AI adoption and work closely with the entire industry to help customers accelerate their journey into the intelligent era." The company says the platform also includes technologies designed to address AI-related security risks including ransomware, data tampering, and data poisoning attacks. For more from Huawei, click here.