Building India’s Sovereign AI Foundational Model (100B+ Parameters) India’s ambition to develop a homegrown foundational AI model with over 100 billion parameters—capable of rivaling global giants like ChatGPT and DeepSeek—raises critical questions. The IndiaAI Mission has laid the groundwork with 18,693 GPUs and subsidized compute costs (~₹100/hour) to empower startups and researchers . While this infrastructure leap is promising, challenges persist: 1. Cost & Expertise: Requires hundreds of millions and top-tier talent. 2. Data Diversity: Needs vast, high-quality Indian datasets across languages for cultural relevance. 3. Strategic Focus: Domain-specific applications (healthcare, agriculture) can maximize societal impact. What steps should India prioritize—investment in talent, incentivizing private R&D, or forging global partnerships?
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