Challenges Surrounding Google's Hyperscale Data Centre in Visakhapatnam
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Article summary
Google's proposed hyperscale data centre in Visakhapatnam highlights critical infrastructural and environmental challenges for India's digital expansion. While hyperscale hubs are essential for processing massive data volumes and supporting artificial intelligence workloads, they demand unprecedented amounts of electricity and freshwater for cooling systems. India's current grid infrastructure, heavily reliant on fossil fuels, faces strain in accommodating such energy-intensive facilities without compromising climate goals. Additionally, local resource competition, particularly concerning water scarcity in coastal regions like Vizag, necessitates stringent regulatory frameworks before scaling such digital infrastructure.
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Sample questions — answers revealed after test
Q1. With reference to the global energy footprint of data centres, which of the following statements is most accurate?
Q2. A state government in a water-stressed coastal region approves a hyperscale data centre that uses conventional evaporative cooling without mandating alternative water management systems. Which of the following consequences is most directly foreseeable based on the known operational characteristics of such facilities?
Q3. Consider the following statements regarding the challenges posed by hyperscale data centres in India: 1. India's coal-dominated electricity grid means that large-scale data centre expansion could undermine the country's commitments under its Nationally Determined Contributions (NDCs). 2. Evaporative cooling systems used in hyperscale data centres release treated wastewater into local water bodies, posing risks of aquatic eutrophication. 3. A comprehensive green data centre policy mandating renewable energy sourcing and closed-loop water systems is recommended to reconcile India's digital ambitions with resource sustainability. 4. Hyperscale data centres consume significantly more energy in absolute terms than traditional data centres, even though they may be more efficient per unit of computation. Which of the statements given above are correct?