AI workloads set to exceed data centre capacity by 2027

13 February 2026

A majority of senior IT and data centre leaders expect AI workloads to outstrip current capacity by 2027, as demand grows faster than new infrastructure and power connections.

That is a headline finding from Salute's State of the Industry 2026 report, based on a survey of 200 senior IT and data centre professionals in the UK and the US. The study points to mounting pressure on operators as they plan AI and high-performance computing deployments whilst managing electricity constraints and a tightening labour market.

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Cornerstone and StonesThro partner to deploy UK-based micro-edge compute network

12 February 2026

Cornerstone and StonesThro have announced a strategic partnership designed to redefine and enhance the UK's digital landscape.

The collaboration focuses on deploying micro-edge compute capabilities across Cornerstone's national estate to address the urgent need for increased data processing speed and capacity, data sovereignty, and national infrastructure resilience. As the global geopolitical climate becomes increasingly unpredictable and regulatory frameworks around data privacy tighten, the question of where data is processed and who governs and protects the underlying hardware has moved from a technical concern to a matter of national security. This partnership arrives at a critical moment, providing a UK-centric solution to the growing dependency on centralised, often foreign-owned, cloud architectures.

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ADLINK launches edge AI servers targeting vision processing and on-site inference

11 February 2026

ADLINK has expanded its edge computing line-up with a new server board and three Intel Xeon 6-based GPU servers, as demand grows for more compute at industrial and on-premise sites.

The launch includes the ISB-W890 server board and the AXE-7440GW, AXE-7420GWA and AXE-7220GW systems. ADLINK is targeting organisations running advanced vision processing, analytics and generative AI inference outside central data centres. Edge deployments are moving from pilots to production, particularly in environments where connectivity limits, response-time needs and local data processing requirements shape system design. That shift is increasing demand for server-class systems suited to factory racks, labs and remote sites.

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UK government invests £36 million to expand Cambridge’s DAWN supercomputer

27 January 2026

The UK government has announced a significant £36 million investment aimed at expanding the DAWN supercomputer at the University of Cambridge, a move set to increase its artificial intelligence (AI) computing power sixfold by spring 2026. This expansion is a key part of efforts to strengthen the UK's national AI infrastructure and support cutting-edge research across the country.

As part of the upgrade, for the first time, AMD Instinct™ MI355X accelerators will be integrated into the DAWN system, providing UK researchers and start-ups with access to some of the world's most advanced AI computational resources. The integration is being managed by Dell Technologies and is supported through the government-backed AI Research Resource (AIRR). This initiative aims to democratize access to high-performance computing, enabling smaller entities and academic institutions to compete at the forefront of AI development.

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