NTT Data, a Japanese IT giant, is spearheading efforts to establish a cutting-edge artificial intelligence (AI) data center in Hyderabad, India. Partnering with Neysa Networks and the Telangana government, this undertaking involves a substantial $1.2 billion investment. The goal is to develop a 400 MW data center campus equipped with 25,000 GPUs, forming one of India’s most sophisticated AI computing hubs.
This initiative aligns with Telangana’s vision of becoming India’s “AI capital.” The project promises eco-friendly, scalable computing infrastructure for both public and enterprise applications. By blending grid and renewable energy up to 500 MW along with advanced cooling technology, the campus will set a benchmark for sustainable and powerful data centers.
Telangana’s Chief Minister, A Revanth Reddy, emphasized the strategic collaboration, asserting that it “combines NTT DATA’s global data center leadership with Neysa’s AI acceleration platform,” fostering the development of AI-centric solutions.
NTT Data, well-experienced with 18 data centers already operational or in development across India, brings its substantial footprint to this ambitious enterprise in Hyderabad—a recognized hub for data centers in India. This project follows similar initiatives by companies like AWS, STT, and CtrlS which reaffirm Hyderabad’s precedence in India’s data center map.
As AI adoption increases, India emerges as a prominent player in AI-driven data infrastructure. The demand for cloud computing, machine learning, and big data analytics spurs a rise in AI data centers across the nation. Such facilities are crucial for supporting AI applications in diverse sectors, including healthcare and finance.
Further fueling the competitive landscape, the Adani Group plans a whopping $10 billion investment in data centers across India. They are evaluating locations like Andhra Pradesh and Gujarat for large-scale data center projects, each capable of around 1 gigawatt. With such developments, India is set to become a significant player in global AI infrastructure.