Google Execs Praise India's AI Potential

• Infrastructure: L&T building gigawatt-scale NVIDIA AI factories with 30MW in Chennai and 40MW in Mumbai for sovereign cloud workloads and hyperscale deployments[3] • Model Architecture: BharatGen developed 17-billion-parameter mixture-of-experts (MoE) model using NVIDIA NeMo framework for pretraining and NeMo RL library for post-training[3] • GPU Stack: Training conducted on NVIDIA H100 GPUs through cloud partners like Yotta; deployment of 20,000+ NVIDIA Blackwell Ultra GPUs for Shakti Cloud[1][3] • Multilingual Capabilities: Google's live speech-to-speech translation model supports 70+ languages including Bengali, Hindi, Tamil, and Telugu with real-time translation[2] • Small AI Focus: Lightweight models for resource-constrained environments—crop pest diagnosis on basic smartphones, tuberculosis screening without broadband, AI tutors delivering learning gains equivalent to additional year of schooling[4] • Data Curation: NVIDIA NeMo Curator open library for multilingual and multimodal data curation adopted by Indian companies including BharatGen, CoRover.ai, and Gnani.ai[1]

India's positioning as a Global South AI template could reshape how emerging economies develop AI infrastructure, shifting from dependency on Western models to sovereign, multilingual solutions. The emphasis on 'small AI'—practical, affordable solutions for limited-connectivity environments—addresses 80% of the global population and creates a new market segment. With $15 billion in Google investment plus government GPU subsidies and private funding ($1.313B in 2025), India may establish itself as a manufacturing hub for AI inference and fine-tuning rather than frontier model development. The multilingual focus addresses a critical gap where 90% of LLM training data is English-centric, potentially unlocking economic value across South Asia, Africa, and Southeast Asia. However, India still lags in developing comparable frontier models to ChatGPT or Claude, suggesting a 2-3 year window to establish indigenous capability before competitive advantage erodes.