<\/p>\n
New Delhi: India unveiled its library of non-personal data sets, called AI Kosh, to help companies build large language models (LLMs), the latest step by the Centre to help scale up the growth of artificial intelligence (AI) in the country.<\/p>\n<\/div>\n
AI Kosh will also be used to give startups approvals to get access to the India AI Mission\u2019s 18,693 GPUs, or graphic processing units, which will be offered at a subsidized fee, said the ministry of electronics and information technology (Meity) on Thursday.<\/p>\n<\/div>\n
At the same time, said Union IT minister Ashwini Vaishnaw, \u201cextensive stakeholder consultations\u201d have begun to build \u201cIndia\u2019s own GPUs\u201d\u2014a process that he said will take \u201cthree to four years\u201d. \u201cBuilding GPUs is a very, very difficult process, but we\u2019ll get there. We\u2019ll share more details in due time, as we make progress.\u201d<\/p>\n<\/div>\n
GPUs are regarded as the most crucial part of building AI models\u2014algorithms that help in generating speech, text or videos just like humans. Since the advent of US tech firm OpenAI\u2019s ChatGPT in October 2022, GPUs have become among the world\u2019s most in-demand commodity\u2014exemplified by a surge in Nvidia Corp’s valuation from $300 billion to $3.6 trillion.<\/p>\n<\/div>\n
Also read | <\/i>Hiranandani\u2019s AI infra firm Yotta plans a US listing. But at what cost?<\/i><\/a><\/p>\n<\/div>\n However, India currently does not own the patents to manufacture its own GPUs, which makes the country reliant on US tech firms Nvidia, Advanced Micro Devices (AMD), Amazon Inc, Qualcomm Inc, Intel Corp and others for these prized chips.<\/p>\n<\/div>\n \u201cIn the long run, the idea is to gain our own advanced chip patents and make them in more sophisticated semiconductor fabrication plants that will come up in India, in the years to come,\u201d a senior government official added regarding India\u2019s move to build a circular supply chain for AI. \u201cUntil then, we have plenty of GPUs to access to build requisite foundational AI models.\u201d<\/p>\n<\/div>\n Mint<\/i> reported on 5 February that India was targeting to develop its own AI chip in about five years.<\/p>\n<\/div>\n Until then, Vaishnaw said that Meity has received applications from 67 startups to develop foundational models\u2014which will be granted access to Meity\u2019s datasets through the AI Kosh platform.<\/p>\n<\/div>\n \u201cTo begin with, we will select three to five foundational AI startups, and make the GPU infrastructure available to them imminently,\u201d the minister said. \u201cThe platform to offer AI compute is now live, and India\u2019s GPU cost will be among the lowest in the world.\u201d<\/p>\n<\/div>\n Also read | <\/i>Nvidia’s Blackwell GPU may reach Indian shores as early as October<\/i><\/a><\/p>\n<\/div>\n Vaishnaw said that 22 applicants have applied to build foundational AI models, while the rest could build models for a wide range of use cases.<\/p>\n<\/div>\n The cost per GPU per hour\u2014a key hindrance for upstarts from entering the field of training proprietary AI models\u2014in India will be \u20b9<\/span>67 or $0.77. Global data centres sell GPU access to enterprises at an average cost of $2-2.5 per GPU per hour.<\/p>\n<\/div>\n \u201cThe compute platform also includes public datasets offered by various ministries, which will give startups access to non-personal data in various languages. These datasets will cover sectors such as agriculture, logistics and more. Even Bhashini, Meity\u2019s vernacular language programme, will make its Indian language data available for startups to build AI models for India\u2019s specific needs,\u201d Vaishnaw said.<\/p>\n<\/div>\n Bengaluru-based AI startup CoRover.ai, which sells Indic-language AI applications based on its secondary, OpenAI-based language model BharatGPT, is one of the applicants in Meity\u2019s AI Mission to build its own GPUs.<\/p>\n<\/div>\n Also read | <\/i>Chips, Indic LLMs, flying taxis: Inside India\u2019s tryst with tech independence<\/i><\/a><\/p>\n<\/div>\n The company\u2019s foundational AI model will be consumer-facing and a \u201cgeneral purpose model covering all beats, to which sector-wise expertise will be incrementally added depending on demand,\u201d Ankush Sabharwal, chief executive of CoRover.ai, told Mint<\/i>.<\/p>\n<\/div>\n The compute infrastructure that was made available on Thursday includes GPUs from four companies\u2014Nvidia, AMD, Intel and Amazon Web Services, being supplied to Meity by 10 shortlisted data centre and technology infrastructure vendors. In the long run, the IT ministry\u2019s GPU mandate will be a key revenue stream for these vendors, Yotta Data Services\u2019 CEO Sunil Gupta told Mint <\/i>on 10 February.<\/p>\n<\/div>\n Vaishnaw said the Cabinet-allocated fund of over \u20b9<\/span>10,000 crore will be used to \u201coffer 40% subsidy\u201d to the cost of accessing GPUs by startups. However, the minister did not disclose if the Centre will hold stake in the AI models developed or will they be entirely privately owned.<\/p>\n<\/div>\n And read | <\/i>Mint Explainer: The mercurial rise of India-focused LLMs<\/i><\/a><\/p>\n<\/div>\n<\/div>\n Catch all the Technology<\/a> News and Updates on Live Mint. Download The Mint News App<\/a> to get Daily Market Updates<\/a> & Live Business News<\/a>.<\/p>\n More<\/span>Less<\/span><\/div>\n","protected":false},"excerpt":{"rendered":" New Delhi: India unveiled its library of non-personal data sets, called AI Kosh, to help companies build large language models (LLMs), the latest step by the Centre to help scale up the growth of artificial intelligence (AI) in the country. 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