Gpus

• The Indian government launched an AI mission with ₹10,000 crore in funding and 38,000 GPUs, selecting 12 companies to develop indigenous AI tools for public welfare sectors like farming, education, and healthcare. • Despite these goals, the initiative has struggled with adoption, as participating firms are primarily selling their products to general commercial markets rather than the intended government sectors. • A key example of the mission's output is Tech Mahindra's Project Indus, an open-source large language model (LLM) specifically designed to support Hindi and its various regional dialects.

• India is implementing subsidized GPU programs to lower AI compute costs and bridge the capability gap in artificial intelligence. • The initiative has established a national platform designed to support academic research, indigenous model development, and public-interest AI projects. • Industry experts argue that hardware alone is insufficient, citing the need for reliable infrastructure, specialized datasets, skilled researchers, and robust cybersecurity.

• A new report by Avendus indicates that India's AI data center industry could drive the deployment of 700,000 GPUs over the next five years. • This expansion represents a massive $23-billion investment opportunity within the country's technology infrastructure. • The surge in AI-ready infrastructure is expected to benefit a wide range of stakeholders, including semiconductor suppliers, energy providers, cloud computing firms, and data center developers.