Global AI race: India to build own AI model at affordable cost, 18693 GPUs to power compute facility

New Delhi, Jan 30 (PTI) India on Thursday outlined global AI ambitions with plans to build its own 'foundational model' that could take on the might of ChatGPT, DeepSeek R1 and others, as it lined up "most affordable" common compute facility powered by 18,693 GPUs to be used by startups and researchers, for creating Artificial Intelligence applications, and new algorithms.

India's bold move comes at a time when Chinese company DeepSeek has turned heads after its AI model overtook ChatGPT as the top-ranked free app on Apple's appstore, challenging the AI dominance concentrated so far with the US firms, particularly Silicon Valley frontrunner Open AI.

IT Minister Ashwini Vaishnaw announced that India is all set to launch its own safe and secure indigenous AI model at an affordable cost. He said compared to global models costing 2.5 to 3 US dollars per hour usage, India’s AI Model will cost less than less than Rs 100 per hour (1.16 US dollars per hour) after 40 per cent government subsidy. The attractive half-yearly and annual plans promise to make it even more affordable.

The Minister exuded confidence that India will build a foundational model that is world-class, and that it will be able to compete with best models across the globe.

The government announced the next steps in India's AI blueprint, among them, 18,693 Graphics Processing Unit or GPUs on offer by the empanelled bidders (a list that includes Jio Platforms, CMS Computers, Tata Communications, E2E Networks, Yotta Data Services, and others), and start of AI safety institution, with 8 projects approved under it. Of the 18,693 GPUs, 12,896 are H100, 1,480 H200, and 7,200 are MI 200 300 units.

Replying to a question on data security concerns around DeepSeek, the Minister said that DeepSeek can get hosted on Indian servers after security checks so that coders, developers and designers can take benefit of its open source code.

Vaishnaw said India's very own foundational models would be aligned to Indian context, Indian languages, culture, basically where datasets are "for our country, of our country and for our citizens" and "biases are removed". Put simply, foundation models in generative AI are large, pre-trained models that form the base for a variety of AI applications.

"Making modern technology accessible to everyone, that is the economic thinking of our PM... Ours is the most affordable compute facility, at this point of time," Vaishnaw said.

The Minister said there are at least six major developers/startups who would be able to build foundational models in the next 8-10 months at the outer limit, and 4-6 months at a more optimistic estimate.

"Algorithmic efficiency matters a lot, it can deliver a model at much lower cost and less time than the world has seen today," the Minister said, expressing optimism that India will have a "world class foundational model" in the coming few months.

The government, under the IndiaAI Mission, had approved Rs 10,372 crore outlay to strengthen India's AI ecosystem - a key pillar for that was enabling 10,000 GPUs for AI Compute Infrastructure. The 18,693 GPUs would offer large compute power considering that Deepseek was trained on 2,000 GPUs and ChatGPT version 4 on 25,000 GPUs.

On the applications under India AI mission, India's focus has been about utilising the power of Artificial Intelligence for solving population-scale problems, in areas such as healthcare, education, agri, logistics, weather forecasting and others.

"We launched an application proposal and I am happy to say that 18 applications have been selected for the first round of funding. These are in themes of agriculture, learning disability and climate change," the Minister said.

AI safety is in the spotlight across the world, and India AI Mission too emphasises safe and trusted models.

Vaishnaw announced that AI safety institutions will be collaborative and will act on a hub-and-spoke type model, where multiple institutions can partner to provide and develop tools, frameworks and processes needed for AI safety.

The projects approved for AI safety include areas of machine unlearning (IIT Jodhpur), synthetic Data Generation (IIT Roorkee), AI bias mitigation strategy, explainable AI framework (Defence Institute of Advanced Technology Pune), privacy-enhancing strategy (IIT Delhi, IIIT Delhi, TEC), AI Ethical certification framework, AI algorithm auditing tool, and AI governance testing framework.

Asked about the issue of GPU and AI chip export curbs that the US had been talking about and whether or not it would impact India's AI mission, the Minister said India is seen as a trusted country across the world.

"We respect IP rights and considerations in technology and that is why we have signed MoUs on very important technologies. We believe that the trust that has developed will be important in every consideration and regulation that any country brings," he said, expressing confidence that the India AI Mission will flourish because of the trust the country enjoys.

IndiaAI has also launched the second round of Expression of Interest (EoI) open to Indian Academic Institutes/Organizations, Autonomous bodies, R&D Institutes/Organisations, Startups and Companies, where themes covered are watermarking and labelling, ethical AI frameworks, AI risk assessment and Management, stress testing tools, and Deep-fake Detection Tools. PTI MBI MBI MR MR

Source: PTI