Indian Government Strengthens AI Infrastructure with 18000 High-End GPU Minister Said We have Good Talent DeepSeek ChatGPT

The Government of India has allocated Rs 500 crore in the Union Budget 2025-26 for establishing Center of Excellence at Artificial Intelligence (AI) for education. Union IT Minister Ashwini Vaishnav while speaking to NDTV, emphasizing the importance of providing advances AI infrastructure to researchers, academics and startups threw light on the government’s focus on new and emerging technology. He said, “It was very important to get complete facility so that researchers, academics, start-ups would have the opportunity to use the GPU (graphics processing unit) that are state-of-the-art.”

As part of the Indiaai Mission, the government has already listed 18,000 high-end GPUs to increase the AI ​​Richers and Development in the country. These GPUs are important for AI model training and their number depends on factors like model complexity, data size and training duration. Report According to, this initiative is in line with India’s widespread efforts to strengthen AI capabilities and make advance computing resources more accessible to the technology sector. The move is expected to benefit the business, research center and business working on AI-Powered Innovation.

Budget allocation for this new AI center for education is based on previous investments. In March 2024, the government announced a $ 1.25 billion AI investment under the Indiaai Mission, aims to support AI startup and create a strong AI infrastructure. In addition, this new Excellence Center will be included in the three Excellence Centers established in 2023 for agriculture, health and satellic cities. The government allegedly sees the research center as a major pillar in the AI ​​development and is focusing on the expansion of the AI ​​application in many areas.

Talking to Publication, Mr. Vaishnav also talked about Chinese AI Chatbot Deepsek, which has launched discussion around the world. Dipcik has claimed to create an AI model in just two months by spending less than $ 6 million using Nvidia’s H800 chips. Accepting its efficiency, Vaishnav expressed confidence in India’s AI talent, saying that Indian researchers and developers will bring similar innovation in the coming days.