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Author: Mark Deguara, Technology Innovation Leader Building an AI data centre in Australia increasingly requires close attention to grid capacity. At the end of Q2 2026, AEMO was tracking 9.0 GW...
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AI is rewriting the rules of data center planning and design, affecting everything from rack density to airflow to power infrastructure. Those requirements keep evolving as AI chips grow more...
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The future of the AI factory is modular. As GPU capacity grows at dizzying speed, traditional construction methods struggle to keep up. The fastest way to build AI factories is to leverage...
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As demand for AI-ready infrastructure continues to accelerate, data center teams are under growing pressure to deliver capacity faster, with less risk and greater predictability. Together with...
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Author: Andrew Whitmore, Vice President of Sales at Motivair by Schneider Electric In the AI race, securing power is only the starting point. Available megawatts do not automatically translate...
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Author: Mayank Srivastav, Director C&SP Segment, India In India, the economics of liquid cooling depend heavily on on-site conditions. Electricity tariffs, demand charges, supply voltage and data...
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I have been strategically involved in the modular data center industry for over 30 years – yes, the industry has been doing this for a long time. However, the exponential demand for prefabrication...
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Author: Andrew Whitmore, VP of Sales of Motivair, Motivair by Schneider Electric Data center community opposition and local approvals are becoming bigger constraints on capacity development. The...
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The growing demand for AI is obvious. The real question is: What’s the build plan? For data center operators, meeting AI demand comes down to turning opportunity into operational capacity. Is...
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Five years ago, a typical enterprise data center rack consumed 10-20 kilowatts of power. Today, AI-enabled racks can exceed 100 kilowatts. They weigh as much as an automobile and generate more...
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Author: Anuj Kudesia, Managing Director SEPSL & Direct BD India has around 18% of the world’s population but only 4% of its freshwater resources. This makes data centre water recycling more than a...
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After 30 years at Schneider Electric, across five countries and several different parts of our business, I believe the next decade could be one of the most exciting I have experienced. AI is...
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In today’s rapidly evolving digital landscape, data center operators are under increasing pressure to deploy infrastructure faster, more efficiently, and with uncompromising safety. That’s why...
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Highly efficient UPS solutions support data center sustainability Every AI deployment increases demand for power, space, and infrastructure. At the same time, operators face mounting pressure to...
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Author: Mark Deguara, Technology Innovation Leader Australian data centre operators are adding higher-density compute within constrained power and cooling capacity. As a result, cooling...
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For the past two years, enterprise AI has felt promising, but ethereal: thrilling to watch from a distance, but not something most companies could grasp themselves. We’ve all seen the demos, read...
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Author: Sumati Sahgal, VP, Data Centre & Secure Power A data centre operator planning capacity in Mumbai cannot assume the same cooling economics will apply in Chennai, Hyderabad, Bengaluru, or...
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Author: Sumati Sahgal, VP, Data Centre & Secure Power A data centre operator planning capacity in Mumbai cannot assume the same cooling economics will apply in Chennai, Hyderabad, Bengaluru, or...
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Tokens have several definitions. First, they are the language native AI speaks because AI models are trained using data that is tokenized (transformed into tokens for processing). Working AI...
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Cost per token is the all-in operational cost of generating a single unit of AI output. It is shaped by an entire infrastructure ecosystem, including compute performance, networking, cooling,...
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