Data Centre Infrastructure News & Trends

ZutaCore brings two-phase cooling to PCIe GPUs

ZutaCore, a developer of liquid cooling technology, has announced that its OmniTherm cold plate now enables waterless, two-phase cooling for manufacturers building servers with the NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs in a single-slot PCIe form factor, supporting full-power operation in standard enterprise and AI cloud server environments. As AI inference expands across enterprise and cloud environments, PCIe GPU servers have become a common platform due to their relative ease of deployment, scalability, and compatibility with existing infrastructure. However, as GPU power consumption rises, air cooling can become a limiting factor, restricting density, driving up fan power, and increasing the risk of thermal throttling during sustained workloads. The company says OmniTherm addresses this by enabling a transition to two-phase liquid cooling without introducing water inside the server. The single-slot design allows operators to increase accelerator density in standard server architectures while capturing heat into a liquid loop, reducing reliance on high fan speeds that can create excessive noise, waste power, and cause difficult operating conditions in the data centre. "Enterprise and cloud operators want the flexibility of PCIe GPUs, but they also need density and sustained performance as power levels rise," comments My D. Truong, CTO of ZutaCore. "OmniTherm delivers waterless, two-phase cooling in a single-slot form factor, helping data centres increase accelerator density while maintaining stable thermals for 24/7 AI workloads." Two-phase cooling for dynamic AI workloads Production AI workloads - particularly inference - are rarely steady, fluctuating constantly and creating thermal swings that can affect performance and reliability. ZutaCore says its two-phase approach is designed to respond to changing workloads, helping data centres maintain predictable performance under dynamic utilisation. As racks move into higher power levels, the operational cost of air cooling also rises, with increased fan energy consumption and growing acoustic and facility pressures. OmniTherm uses a sealed, non-conductive dielectric fluid system that captures heat without requiring facility water in the server, reducing cooling overhead and providing a path to scaling PCIe-based AI deployments. Alongside this announcement, ZutaCore has also introduced HyperCool Cloud, a cloud-native operations platform designed to help data centres manage liquid cooling infrastructure. The platform, the company says, provides "near-real-time" CDU telemetry, fleet-level monitoring, and alarm-to-resolution workflows, helping operators manage service response and uptime as deployments scale across sites and fleets. For more from ZutaCore, click here.

ZIEHL-ABEGG updates ZAplus fan design

ZIEHL-ABEGG, a German ventilation manufacturer, has introduced the ZAplus Next Generation axial fan, aimed at improving airflow, efficiency, and acoustic performance in data centres and other cooling applications. The updated design builds on the existing ZAplus platform, incorporating a slimmer housing and revised aerodynamic components to increase air output and pressure within the same footprint. The company says this allows larger fan sizes to be deployed in existing spaces, supporting upgrades without requiring significant changes to system layouts. The housing, available in sizes from 450 mm to 1,000 mm, has been developed using computational fluid dynamics to optimise airflow. It is manufactured using plastic injection moulding to reduce weight and improve corrosion resistance. Design changes focus on airflow and efficiency The system includes FE2owlet and FE3owlet blade designs, alongside guide vanes and a compact diffuser to stabilise airflow and improve pressure performance. Additional nozzles are used to help smooth airflow and reduce turbulence. The company notes that these elements are designed to support efficient operation while maintaining a consistent footprint. The fan also enables variable speed control, allowing airflow to be adjusted to demand, which can help reduce energy use over time. The ZAplus Next Generation is available with both AC and ECblue motor options, providing flexibility for both retrofit and new-build data centre environments. ZIEHL-ABEGG says its composite construction is intended to support durability and reduce maintenance requirements in long-term operation.

Corning expands AI data centre connectivity

Corning, a US manufacturer of optical fibre for telecommunications and data centres, has expanded its data centre connectivity portfolio through a licensing agreement with US Conec. The agreement enables Corning to use PRIZM TMT optical ferrule technology, designed to increase fibre density within data centre environments, particularly for AI infrastructure. The technology supports higher fibre counts in limited space, addressing growing demand for connectivity as AI workloads scale and data centre architectures evolve. Mike O’Day, Senior Vice President and General Manager of Corning Optical Communications, comments, “AI infrastructure is pushing optical connectivity into new and more demanding environments. “By licensing PRIZM TMT, Corning is strengthening its ability to deliver scalable, fibre-rich solutions that help customers build larger, faster, and more efficient AI clusters, while aligning closely with the broader industry ecosystem.” Supporting higher-density AI infrastructure As AI deployments expand, data centres are increasing the number of connected accelerators and shifting towards optical connections in place of traditional copper links. This change is driving higher fibre density within server and switch racks, increasing the need for compact, high-performance connectors. The PRIZM TMT ferrule uses expanded beam technology with precision-aligned microlenses, rather than direct fibre contact. This approach is intended to improve installation reliability, reduce sensitivity to contamination, and support faster deployment. According to the companies, these characteristics are suited to large-scale AI environments, where high connection density and consistent performance are required. For more from Corning, click here.

Siemens, Rittal partner on data centre power

German multinational technology company Siemens and Rittal, a German manufacturer of industrial enclosures, IT racks, and climate control systems, have formed a partnership to develop power distribution infrastructure for data centres, targeting increasing demands from AI workloads. The collaboration focuses on standardised systems designed to support higher rack power densities, improve deployment speed, and streamline data centre construction. Power demands in AI environments are continuing to rise, with rack densities already exceeding 100 kW and expected to increase further over the coming years. The companies aim to address these requirements through updated approaches to power distribution, cooling, and heat management. Focus on scalable power infrastructure One of the first developments from the partnership is a sidecar power system, installed within the white space of a data centre. The system uses a dedicated power rack to supply server racks, supporting a modular and scalable approach to power delivery. The design aligns with Open Compute Project standards and is intended to simplify deployment while maintaining operational reliability. “To enable the rapid growth of AI, we need smart, reliable, and scalable power supply solutions for data centres and we need them quickly,” comments Andreas Matthé, CEO Electrical Products at Siemens Smart Infrastructure. Further joint work includes the development of standardised low-voltage distribution systems for modular and containerised data centres, alongside measures aimed at improving operational and personnel safety. The partnership builds on existing collaboration between Siemens and the Friedhelm Loh Group, Rittal’s parent company, and is expected to expand into additional applications beyond data centres. For more from Siemens, click here.

Report: AI boom driving US data centres off grid

The rapid expansion of off-grid data centres across the US is emerging as a possible answer to the power constraints reshaping the AI-driven digital economy, according to a new report from law firm Troutman Pepper Locke. As artificial intelligence accelerates demand for compute capacity, the firm's report - Off-Grid Data Centers: A Potential Power Solution for AI - finds that developers, hyperscalers, and energy companies are increasingly turning to behind-the-meter and ‘island-moded’ generation to secure reliable, scalable electricity while avoiding grid congestion and regulatory delays. According to projections cited in the analysis, global data centre investment could reach $6.7 trillion (£5 trillion) by 2030, with approximately $2.7 trillion (£2 trillion) of that invested in the US market. Nowhere is the transformation more visible than in Texas, where the Electric Reliability Council of Texas (ERCOT) forecasts that data centre electricity demand could rise by 22 GW between 2025 and 2031, reaching 78 GW (or roughly 36% of total statewide demand). At the same time, AI-specialised server racks now require 50–100 kW each, up from 5–10 kW in traditional configurations just a few years ago. As microchips become more powerful and energy intensive, the report concludes that power - not silicon - has become the primary constraint on AI expansion. Natural gas as the bridge to scale One of the report's central findings is the decisive shift towards natural gas as the preferred near-term solution for off-grid facilities. Developers are prioritising dispatchable generation that can deliver the "five nines" reliability (99.999% uptime) demanded by hyperscale AI operations. While renewables remain a central part of long-term decarbonisation strategies, the analysis suggests that wind and solar alone cannot yet provide consistent, 24/7 baseload power at the scale AI requires without substantial overbuild and storage. Battery capacity, though advancing, "remains limited" in duration for utility-scale deployments. Small modular nuclear reactors reportedly hold promise but are not yet commercially deployable at scale. Natural gas generation, by contrast, can be deployed relatively quickly and offers dependable output, which the report argues makes it the dominant choice for early off-grid adopters, particularly in Texas, where fuel supply and land availability align. However, the report also cautions that turbine supply chains are tightening, and competition for equipment, skilled labour, and transmission infrastructure is intensifying as AI-driven projects accelerate nationwide. Interconnection bottlenecks fuel off-grid momentum Grid interconnection queues are increasingly congested, delaying projects in key markets. Developers are therefore reportedly pursuing behind-the-meter solutions as a bridge to eventual grid connection - or, in some cases, as a long-term strategy to maintain operational autonomy. Texas's deregulated electricity market and advanced behind-the-meter framework make it a focal point for this shift. Yet, regulatory oversight is also evolving. Senate Bill 6, passed with bipartisan support in 2025, introduced new obligations for large-load users, including requirements tied to backup generation and infrastructure cost allocation. At the federal level, policymakers are responding to the AI "gold rush" with measures designed both to accelerate data centre permitting and protect grid reliability. Proposed initiatives such as the Decentralised Access to Technology Alternatives (DATA) Act and large-load interconnection reforms could further clarify the treatment of private off-grid facilities and reduce compliance burdens. The report suggests that regulatory clarity - rather than deregulation alone - will be essential to sustaining investment momentum while safeguarding broader system stability. Community scrutiny and the $64 billion delay factor Beyond infrastructure, the report highlights mounting community resistance. Research referenced in the analysis indicates that as of early 2025, approximately $64 billion (£48.2 billion) in US data centre developments had faced delays due to bipartisan local opposition, often centred on energy costs, water use, and property impacts. Off-grid systems can mitigate some of these concerns by reducing strain on public grids and shielding residential ratepayers from infrastructure cost allocation. Nevertheless, proactive community engagement and transparent economic value propositions remain critical. The report also explores alternative models, including modular data centres colocated with renewable assets to absorb curtailed power, demonstrating that innovation in design and siting can complement traditional off-grid approaches. The partner imperative With gigawatt-scale campuses carrying price tags exceeding $1 billion (£753 million) per facility, counterparty strength and supply chain resilience are paramount, according to the report. Developers and energy providers "must conduct rigorous due diligence" on turbine manufacturers, engineering teams, landholders, and off-takers. In an off-grid environment, there is no utility fallback. Creditworthiness, long-term commitment, and technical capability become central risk determinants. The report underscores that competition is fierce and that some early entrants may struggle to scale without robust financial backing. Reliability first and always Ultimately, the report concludes that reliability eclipses all other considerations. Hyperscalers racing to lead the AI market prioritise guaranteed uptime over short-term cost arbitrage or energy trading opportunities. The business case for AI infrastructure depends on uninterrupted power, and developers are reshaping generation strategies accordingly. Brandon Lobb, Partner in Troutman Pepper Locke’s Energy Transactional Practice Group, says, "AI has shifted the centre of gravity in the energy market. Power availability - not just price - is now the defining variable in digital infrastructure strategy. "Off-grid solutions are emerging as a pragmatic response to interconnection delays, reliability demands, and community pressures. Companies that align regulatory strategy, supply chain discipline, and creditworthy partnerships will be best positioned to lead in this next phase of AI growth." As federal and state frameworks continue to evolve, off-grid data centres appear set to become a structural feature of the US energy and technology landscape, rather than a temporary workaround.

SUBCO expands Australia network route diversity

SUBCO, an Australian developer of undersea fibre optic cable networks, has expanded its Australian network with additional route diversity between Sydney and Melbourne, alongside new data centre access points across major cities. The company says its Sydney–Melbourne connection now operates across two geographically independent paths, combining subsea and terrestrial infrastructure to improve resilience on one of the country’s busiest corridors. On the Sydney–Perth route, the Indigo Central and SMAP systems provide two separate cable paths with distinct geographic routes. Both systems operate independently, with separate landing stations, submarine line terminal equipment, and data centre connections to reduce the risk of disruption from a single incident. Bevan Slattery, founder and Co-CEO of SUBCO, explains, “Diversity has traditionally been something customers needed to engineer themselves, engaging multiple providers and hoping the underlying paths were physically separate. SUBCO’s strategy has been to own and operate diverse assets and deliver them as a single, fully integrated offering.” Expanded data centre connectivity SUBCO has also introduced new access points across Sydney, Melbourne, Adelaide, and Perth, extending connectivity to its domestic and international cable network. New connection locations include facilities operated by NextDC, Equinix, AirTrunk, and CDC Data Centres. The update forms part of a wider infrastructure expansion programme, which also includes the APX East subsea cable project. This planned system is expected to connect Australia directly with the mainland United States, with service targeted for late 2028. According to SUBCO, APX East will provide a direct subsea route without intermediate landing points, and will land north of Sydney’s existing cable protection zone to increase geographic separation.

Panduit expands fibre portfolio with fusion splice connectors

Panduit, a manufacturer of electrical and network infrastructure solutions, has introduced OmniSplice, a new range of fusion-spliced fibre optic connectors designed for data centres, edge environments, and enterprise networks. The addition expands the company’s fibre optic portfolio with connectors aimed at supporting high-performance connectivity and faster installation in modern network infrastructure. OmniSplice connectors are designed for use with standard fusion splicing equipment, allowing integration into existing installation and maintenance workflows without requiring additional tools or modifications. Panduit says the connectors are intended to support consistent performance while reducing installation time. Integrated design for simplified deployment A key feature of the OmniSplice range is the integration of the splice point within the connector housing. This removes the need for additional components such as pigtails, helping to reduce space requirements and simplify installation. The connectors include pre-assembled fibre stubs and a holder design intended to support the fusion splicing process, aiming to improve consistency and reduce the likelihood of installation errors. According to Panduit, the design is suited to environments where rapid deployment or maintenance is required, including moves, adds, and changes, as well as repair work under time constraints. The launch reflects continued growth in fibre optic infrastructure across data centres, enterprise LANs, and edge applications, where there is increasing demand for solutions that can be integrated efficiently into existing systems. For more from Panduit, click here.

Siemens expands data centre ecosystem for AI infrastructure

German multinational technology company Siemens has expanded its data centre partner ecosystem to support the growth of next-generation artificial intelligence infrastructure, focusing on the integration of compute, power, and operational systems. The expansion includes a strategic investment in Emerald AI, a collaboration with PhysicsX, and the integration of energy storage technologies from Fluence. As AI adoption accelerates, data centre operators are facing increasing constraints around power availability and grid connection timelines. Siemens says the expanded ecosystem is intended to improve flexibility across infrastructure, helping operators scale capacity while maintaining reliability in power-constrained environments. Coordinating compute and energy systems Emerald AI’s technology enables AI workloads to shift in time and location to align with grid conditions, allowing data centre demand to respond dynamically to available power. This approach is designed to reduce peak demand pressures and support faster grid connections. Fluence’s battery energy storage systems (BESS) are intended to help operators manage large-scale AI workloads by shaping energy demand and supporting more predictable load profiles. The systems can also provide on-site power during grid constraints or outages, supporting operational continuity. In addition, Siemens is working with PhysicsX to apply physics-based AI modelling to data centre power distribution systems. Using simulation data, the approach enables engineers to model thermal behaviour in real time, reducing design times and supporting optimisation for dynamic AI workloads. Siemens said the combined ecosystem brings together workload orchestration, energy infrastructure, and AI-driven modelling to address the growing complexity of data centre design and operation as AI demand increases. For more from Siemens, click here.

Barriers to colocation could hold back DC market

Speaking from the Space Comm Expo Europe event in London, Strategies in Satellite Ground Segment (SSGS), the organiser of the world’s only conference dedicated exclusively to the satellite ground segment, has warned that the global success of data centres is at risk if barriers to their colocation with satellite ground stations are not removed. SSGS argues that the advantages to placing a satellite ground station next to a data centre are already clear. It suggests that, for example, keeping the antenna systems physically close to compute and storage functions eliminates long terrestrial backhaul links and helps to reduce latency. Both the data centre and ground station can benefit from cost-savings and can become scalable digital hubs as capacity can be quickly added to meet increased demand. However, securing the necessary planning permissions, obtaining sufficient levels of funding, obtaining the necessary spectrum licenses in already crowded frequency bands, and event issues relating to data sovereignty can all hold up the process of colocation. Colocating data centres with satellite ground systems Kevin French, Director of the SSGS conference and exhibition, says, “Satellite ground systems are increasingly being colocated with data centres, and it’s not a coincidence; it’s a structural shift. "As demand for high-capacity, low-latency services accelerate, bringing ground infrastructure closer to compute isn’t just efficient; it’s transformative. “Colocation enables virtualised architectures, cloud native workflows, and far more resilient end-to-end operations. It ensures that satellite data isn’t just collected, but processed, stored, and delivered with the speed and reliability that modern networks now require.” While there are successful colocation projects in operation - such as the recent approval given to Amazon's Project Kuiper to operate a satellite earth station gateway at the National Space Centre (NSC) in Cork, Ireland - there are fears that the speed of approvals in some jurisdictions could lag behind demand and create a two-tier system. The issue of colocation, data centres, cloud, and edge computing is set to be a major topic of discussion at the SSGS conference being held at the Park Plaza Hotel in London on 30 September 2026. Registration is now open. Find out more by clicking here.

'One in four DC operators fails to track energy usage'

A late‑2025 451 Research study, commissioned by Janitza, a German manufacturer of energy measurement and power quality monitoring equipment, reveals that nearly one in four data centre operators does not monitor the power consumption of their primary sites, even as AI workloads drive unprecedented pressure on electrical and cooling infrastructure. Without precise, real‑time energy data, Janitza argues, operators cannot safely scale AI‑ready capacity or protect their investments. Energy consumption without control 451 Research, the technology market intelligence unit of S&P Global, surveyed 208 data centre professionals to assess how efficiently business‑critical facilities operate today, using power usage effectiveness (PUE) as a key metric. Just over half of respondents reported a PUE between 1.5 and 2.0, while 23% admitted they are not tracking this fundamental performance indicator at all. The study highlights a structural business risk: power has become the limiting factor in building, scaling, and monetising AI‑capable infrastructure. Highly dynamic AI workloads drive power fluctuations of up to 40–70% within milliseconds, creating new challenges for power quality and increasing the risk of outages and equipment damage. The report notes, “In an environment where milliseconds matter, flexibility and data expertise are the critical differentiators.” The findings suggest that reliable, high‑resolution energy data now underpins predictive maintenance, capacity planning, and revenue optimisation in modern data centres. Janitza says operators who capture and analyse detailed power and power‑quality data can detect emerging faults earlier, extend the lifetime of critical components, and avoid unplanned downtime. As rack power densities rise towards 40–120 kW and AI models continue to grow, the study finds that comprehensive monitoring across the entire power chain, from grid connection to individual racks, is becoming a decisive competitive factor. For more from Janitza, cick here.