When discussing AI inference infrastructure, the word “scaling” can mean several very different things. We might need more GPUs because a model is too large for a single GPU, more copies of a model because concurrency is increasing, or better routing between those copies because repeated context is consuming unnecessary compute. Eventually, we may also […]

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Understanding where water is actually used in modern data centres and where it isn’t. Introduction Over the past year, stories about data centres consuming vast quantities of water have become increasingly common. Headlines often suggest that modern liquid-cooled servers are continuously drawing fresh water from local supplies, while social media has amplified claims that newly […]

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How vehicles already travelling Britain’s roads could help local authorities spot deterioration earlier, reduce risk and get more value from highway maintenance budgets Potholes are hardly a new problem, but in recent years they have become one of the most visible signs of the deteriorating condition of Britain’s local roads. For motorists they can result […]

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For the last two years, the AI industry has been obsessed with sovereignty. Sovereign AI. Sovereign clouds. Sovereign compute. National AI factories. Regional AI ecosystems. Across Europe and beyond, governments and enterprises are racing to ensure that AI infrastructure, data, and models remain under local control. The reasoning makes sense. AI is no longer just […]

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