India's AI adoption is rapidly growing, prompting significant investments in local tools and infrastructure. Google is expanding its local AI hardware capacity in India, utilizing its AI Hypercomputer architecture and latest TPUs. This increased compute power will allow businesses and public sector organizations to train and serve advanced Gemini models within India. The aim is to enable high-performance, low-latency AI applications while meeting India's data residency and sovereignty requirements.Beyond infrastructure, control over data and models is crucial for digital sovereignty. Google is committed to delivering its latest AI advancements with necessary controls for Indian users. New services will facilitate building models that understand India's unique business logic and cultural context. Gemini 2.5 Flash is now generally available in India with batch support for cost-effective, non-real-time tasks.Document AI is entering preview with local support for automating document processing. A new capability, Grounding on Google Maps, will enhance AI applications with accurate, location-aware answers. Google is also collaborating with IIT Madras on Indic Arena, a platform for evaluating and ranking AI models for India's multilingual landscape, providing cloud credits for this initiative. This sovereign AI ecosystem strategy emphasizes cultivating local talent and innovation. The company invites the Indian ecosystem to leverage this dedicated capacity for Gemini in Vertex AI to build AI solutions for India.