India’s AI infrastructure push is generating demand for specialists in power, cooling, networking, and security faster than the country’s training pipeline can supply them.

This week brought major developments across AI policy, infrastructure and enterprise technology.

Google Cloud plans to grow its AI-ready data center footprint in India as enterprise demand for generative AI services accelerates.

Uttar Pradesh’s new policy seeks to attract ₹2 trillion in investment and add 2 GW of data centre capacity, with a focus on AI-ready and green digital infrastructure.

The Hiranandani Group-backed data center firm is scaling its AI cloud to 85,000 Nvidia GPUs by the end of the financial year as it prepares for a proposed $900 million listing.

The acquisition gives Persistent scale in Europe and digital engineering, but investors are weighing the price, funding, integration risk and unusual trading in Nagarro shares before the offer.

The company’s first custom processor was built with Broadcom for large language model inference.

Gautam Adani said the group aims to build 3 GW of data-center capacity by 2030 and up to 10 GW of nuclear power by 2035.

The data center operator plans to raise its Nvidia Blackwell GPU deployment to 30,000 units, The Times of India reported.

The proposed alliance will target AI racks, servers, power systems and cooling equipment as India seeks a larger role in global AI infrastructure supply chains.