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🇮🇳 India’s ChatGPT Moment Is Here — And It’s Homegrown In 10 months, India wants to build its own ChatGPT — and it's not just ambition. It’s happening. The Indian government just took a bold leap into the AI future by selecting **three deep-tech startups** to lead its foundational AI model initiative. Forget importing intelligence. This is about OWNING IT. 🧠 The Mission: A ChatGPT for India Union IT Minister Ashwini Vaishnaw announced a landmark plan: A homegrown, open-source Large Language Model (LLM) built FOR INDIA BY INDIA. Why? Because India needs an AI that understands not just English or code — but culture, dialects, diversity, and context. This isn’t just another model. It’s a sovereign digital brain tuned to the Indian soul. 🏗️ The Tech Stack: 18,600 GPUs and Counting The country is serious — and scaling fast. - 18,600 GPUs secured, up from the original 10,000 goal Includes top-tier chips like NVIDIA H100, H200, and AMD MI325 A Common Computing Facility is coming online, democratizing access to expensive AI infrastructure This facility will be the sandbox where researchers, developers, and startups can build without burning a hole in their pockets. 🚀 Meet the 3 Startups Powering India’s AI Leap Handpicked based on their R\&D, scale, and ambition: 1. Soket AI Labs – Building a massive 120B parameter model 2. Gnani.ai – Focused on a 14B parameter voice-first model 3. Gan.ai – Developing a **70B multilingual content model Each startup brings its own superpower — from voice AI to content generation to massive-scale pretraining. 🧭 Why This Matters -Multilingual Reality: India isn’t a one-language nation. English-only AI doesn’t work here. -AI Sovereignty: Owning your models = owning your data, your narratives, your future. -Startup Signal Boost: This is a strong validation for India’s deep-tech ecosystem — and a greenlight for others to build. ⏱️ The Clock Is Ticking: 10 Months The deadline is tight. The mission is massive. But the intention is crystal clear: India doesn’t want to just catch up in AI. It wants to lead — with local data, in local languages, for local people. If successful, this could mark India’s formal entry into the elite club of nations with sovereign foundational models. A ChatGPT trained in Hindi, Tamil, Bengali, Kannada, and beyond. A model that gets the nuance behind “jugaad,” the context of “dharma,” and the intent behind “chalta hai.” That’s not just a technical feat — it’s a cultural one.** Let’s build it. 🚀