India AI Mission Builds Foundation with 38K GPUs, Indigenous Models in 24 Months

The India AI Mission, launched in March 2024 with a ₹10,372 crore outlay, has established key foundations for the national AI ecosystem within two years. It has onboarded over 38,000 GPUs to provide affordable computing power to startups and academia. The mission is fostering sovereign capability by shortlisting twelve teams, including Sarvam AI and IIT Bombay, to develop indigenous foundational models and Large Language Models. Furthermore, it focuses on practical applications, talent development, and a new governance framework for safe and trusted AI.

Key Points: India AI Mission: 38K GPUs, Indigenous LLMs Launched in 24 Months

  • Onboarded 38,000+ GPUs for affordable compute
  • 12 teams shortlisted for indigenous AI models
  • 30 India-specific AI applications approved
  • 8,000+ students supported for talent development
3 min read

In less than 24 months, India AI Mission has set up a foundation for development of AI ecosystem in the country: Ministry of Electronics & IT

India's AI Mission, with ₹10,372 Cr outlay, onboarded 38,000+ GPUs, shortlisted 12 teams for indigenous LLMs, and supports thousands of students.

"India's AI strategy is based on the Prime Minister's vision to democratize the use of technology. - Ministry of Electronics & IT"

New Delhi, February 13

In March 2024, the Government of India launched the IndiaAI Mission with an outlay of Rs 10,372 Cr for the development of the overall AI ecosystem in the country. In less than 24 months, the India AI Mission has set up a foundation for the development of the AI ecosystem in the country.

The mission is rooted in the Prime Minister's vision to democratize technology and address challenges specific to the nation. According to the release, "India's AI strategy is based on the Prime Minister's vision to democratize the use of technology. It aims to address India centric challenges, create economic and employment opportunities for all Indians."

A significant milestone in this journey is the onboarding of over 38,000 GPUs to provide affordable computing power to researchers and entrepreneurs. The release states, "More than 38 thousand GPUs for common compute facility have been onboarded, which are being provided to Indian start-ups and academia at an affordable rate."

To build sovereign capability, the government has identified twelve teams to create indigenous foundational models and Large Language Models (LLMs) trained on local data. The release notes, "Twelve teams have been shortlisted for development of indigenous foundational models or Large Language Models," and add that these include organisations like Sarvam AI, IIT Bombay Consortium (BharatGen), and Tech Mahindra Maker's Lab.

The mission also focuses on practical usage, with thirty applications already approved for India-specific needs. The release mentions, "Thirty applications have been approved for developing India specific AI applications," while also highlighting that 27 India Data and AI labs have been established to support this work.

Talent development is a core part of the strategy, with thousands of students receiving support for advanced studies. The release states, "More than 8000 undergraduate students, 5000 post graduate students and 500 PhD students are being supported for talent development."

Safety and ethics are addressed through a dedicated pillar and new governance guidelines based on seven core principles. The release explains that the 'Safe & Trusted AI' pillar "focusses on bias mitigation, machine unlearning, privacy-preserving architectures, algorithm auditing tool, deepfake detection, risk-assessment protocols, and ethical AI frameworks."

The government has also introduced the India AI Governance Guidelines to provide a national framework for safe AI. The release notes, "The India AI Governance Guidelines lay down a national framework to ensure that AI systems in India are safe, trustworthy, human-centric and inclusive."

Finally, the mission ensures that these technological gains are protected by strong legal and cybersecurity measures. According to the release, "The Digital Personal Data Protection Act, 2023 provides a robust legal framework for data privacy and protection," while CERT-In continues to issue safety advisories and professional certification programs.

- ANI

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Reader Comments

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Priya S
Very promising initiative. I'm particularly glad to see the emphasis on 'Safe & Trusted AI' with guidelines for bias mitigation and deepfake detection. In a diverse country like ours, ensuring AI is inclusive and doesn't amplify existing prejudices is critical. Good step.
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Rohit P
Supporting 8000+ UG and 5000+ PG students is massive for talent creation. But the real test will be in execution and ensuring these resources reach the genuine grassroots innovators, not just the usual big institutes in metros. Hope the distribution is fair.
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Sarah B
As someone working in tech, the push for indigenous LLMs trained on local data is the most exciting part. Models trained only on Western data often fail to understand Indian contexts, languages, and nuances. Teams like Sarvam AI can change that. Great move!
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Vikram M
The budget of over 10,000 crore is significant. While the foundation is set, we need to see tangible outcomes that improve public services - in agriculture, healthcare, and vernacular language support. That's when the common citizen will feel the impact. The 30 approved applications are a start.
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Kavya N
Heartening to see a focus on ethics and the DPDP Act being integrated. Data privacy is a major concern. Hope the governance guidelines are enforced strictly and not just remain on paper. Jai Hind!

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