Technology

Is India drinking itself dry for AI economy?

India’s AI ambitions are fuelled by an estimated 10 million data centre servers, consuming an astonishing 8 gigawatts of power each year.

The Cost of Cloud Computing

Artificial intelligence is often described as weightless: software, algorithms, cloud infrastructure. But the systems powering it are profoundly physical. Data centres require land, electricity and, above all, water – 1.3 cubic metres for every kilowatt-hour of electricity generated, according to research by the Natural Resources Defense Council. With an estimated 10 million data centre servers in India, the country is facing a daunting challenge: can it sustain growth while keeping its water and energy resources from drying up?

Data centres are the unsung heroes of AI’s infrastructure. They house racks of motherboards, cooling systems, and countless other hardware components required to store, process, and transport vast amounts of data. But the data centre industry is a thirsty one – India’s own data centres already consume an estimated 8 gigawatts of power per year, roughly 3% of the country’s total electricity generation. Water usage is similarly staggering, with each data centre server requiring an average of 1.3 cubic metres of water to cool the system.

The Hidden Cost of India’s AI Ambitions

India’s data centres are largely concentrated in the state of Maharashtra, where they are reliant on the Bhagirathi-Hirakud canal system. However, this water source is itself under increasing strain, fuelling fears of droughts and water scarcity in the region.

As India looks to AI as a key driver of economic growth, the country’s data centre infrastructure will be crucial to its success. But the environmental costs of this growth will need to be carefully managed – or risk undermining the very foundations of India’s AI economy.

What this means

India’s AI ambitions come with a hidden price tag: one that will require careful management of water and energy resources to avoid environmental disaster. As data centres continue to play a critical role in powering the AI economy, policymakers will need to strike a delicate balance between growth and sustainability – or risk watching India’s water resources dry up.

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