India has taken a major step toward reducing dependence on foreign AI models. It has not completely stopped depending on them.
At the India AI Impact Summit 2026, the country launched PARAM-2, a powerful AI model built under India's national AI programme, BharatGen. Unlike most AI tools running today, this one was built specifically for India — its languages, its government services, its cultural diversity. The model runs on 17 billion parameters, making it one of the most advanced AI systems ever developed on Indian soil.
The launch marks an important milestone in India's AI journey. But the bigger question now is—what makes this model so different from the rest?
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Source: IISS
The Real Reason India Needed An AI Of Its Own
Every major AI tool you use today — ChatGPT, Gemini, Claude — comes from outside India. These models train on English data. They run on foreign servers & follow foreign rules.
That's a genuine problem for a country of 1.4 billion people, speaking dozens of languages.
BharatGen set out to fix this years ago. It's India's national AI programme, backed by the Department of Science and Technology. The team built the foundation quietly, step by step. Now PARAM-2 is the result. It puts India in a small club of nations that can build large-scale AI models on their own soil.
What Makes PARAM-2 Different From Every Other AI Model?
PARAM-2 wasn't built to be the biggest model in the world. It was built to be the most relevant one for India.
- Supports all 22 Scheduled Indian languages, including Tamil, Punjabi, and Malayalam.
- Trained on Indian datasets, helping it understand local languages and context better.
- Improves speech recognition by using phonetic similarities across Indian languages.
- Works even without internet access — critical for government offices, banks, hospitals, and courts.
- Built by an IIT Bombay-led consortium of nine top institutions.
- Backed by government funding through DST and the IndiaAI Mission.
Source: News4Bharat
"It represents the coming together of researchers, institutions, government bodies and industry partners to ensure that India can shape its own AI future," said Professor Ganesh Ramakrishnan, who leads the BharatGen initiative.
That collaboration is rare. But the bigger question is what comes next.
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What's Really Powering India's AI Ambitions?
Most coverage stopped at the 17-billion-parameter number. Few looked at what's powering it.
India's current AI infrastructure, including AIRAWAT and PARAM Siddhi-AI combined-delivers about 410 AI petaflops. A new supercomputer is now in the pipeline. It promises 8,000 AI petaflops, nearly 19 times India's entire existing capacity.
The new system will be based in India, and all data will remain within the country's borders.
BharatGen is also collaborating with Larsen & Toubro and NVIDIA to build India's own GPU and semiconductor ecosystem, reducing reliance on imported chips over time.
The launch of PARAM-2 is a major achievement, but it is only the first step. BharatGen's roadmap already points toward trillion-parameter models. The question is no longer whether India can develop powerful AI, but how quickly it can scale up and compete with the world's leading AI nations.