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Time of India
2 days ago
- Business
- Time of India
India AI: 3 more startups to build indigenous foundation model; common compute capacity expanded
New Delhi: After Sarvam AI , India on Friday selected three more startups -- Soket AI , Gan AI, Gnani AI -- for building indigenous artificial intelligence foundation models. In line with its global AI ambitions backed by a comprehensive plan that entails enhanced AI infrastructure and local language model development, India has also announced availability of 16,000 more GPUs that would take the compute facility available to startups and researchers here to 34,000, with the support of industry partners. The expanded compute capacity on cloud will provide a common computational AI platform for training and inference, crucial to develop indigenous foundational models and AI solutions tailored to the Indian context. IT Minister Ashwini Vaishnaw said significant progress has been made on India AI Mission, with focus on democratisation of technology. The compute facility supercharged with 34,000 GPUs will enable India to develop AI ecosystem in a big way, he said. Seven bidders have offered their commercials for various categories of AI compute units (GPUs). These include Cyfuture India, Ishan Infotech, Locuz Enterprise Solutions, Netmagic IT Services, Sify Digital Services, Vensysco Technologies, and Yotta Data Services. At the same time, three more teams -- Soket AI, Gan AI, Gnani AI -- have been selected for building indigenous artificial intelligence foundation models. "Like Sarvam, these three teams also have a very big target ahead of them. Whichever sector they focus on, they must be among the top five in the world," Vaishnaw said. Put simply, foundation models in generative AI are large, pre-trained models that form the base for a variety of AI applications. The Minister further said that 367 datasets have already been uploaded to AI Kosh. He also highlighted IndiaAI Mission's role in driving reverse brain drain, and creating a comprehensive ecosystem entailing foundational models, compute capacity, safety standards, and talent development initiatives. Vaishnaw emphasised that these efforts are aimed at building a complete and inclusive AI ecosystem in India. In April this year, Sarvam AI was selected to build India's first indigenous AI foundational model, marking a key milestone in the country's AI innovation ecosystem. Soket AI will develop open source 120 billion parametres foundation model optimised for the country's linguistic diversity targeting sectors such as defence, healthcare, and education. Gan AI will create 70 billion parameters of multilingual foundation model targeting capabilities to surpass the current global leader. Gnani AI will build a 14 billion parameter Voice AI foundation model delivering multilingal real-time speech processing with advances reasoning capabilities. Ganesh Gopalan, Co-Founder and CEO of said in a statement, "We are honoured to be selected under the IndiaAI Mission to develop large language models that truly represent India's linguistic diversity. At our mission has always been to make technology more inclusive and accessible". Gopalan further said is keen to "lead the way in developing voice-to-voice large language models for India and the world, because we believe transformative AI must speak the language of the people it serves". Meanwhile, under the IndiaAI Applications Development Initiative, Vaishnaw also announced the winners of the IndiaAI I4C CyberGuard AI Hackathon, jointly organised with Indian Cyber Crime Coordination Centre (I4C), Ministry of Home Affairs. "The Hackathon resulted in the development of AI-based solutions to enhance the classification of cybercrime complaints and support the identification of emerging crime patterns, trends, and modus operandi on the National Cyber Crime Reporting Portal (NCRP). These models can interpret complex inputs such as handwritten FIRs, screenshots, and audio calls with improved speed and accuracy," an official release said. PTI
Time of India
2 days ago
- Business
- Time of India
Government selects 3 more teams for foundation models of AI
Representative image NEW DELHI: India is broadening its efforts to develop AI foundation models. After Sarvam AI, the government on Friday selected three more teams - Soket AI, Gan AI, and Gnani AI - for building indigenous AI models. IT and electronics minister Ashwini Vaishnaw said the country has 367 data sets loaded on AI Kosh. "So the app ecosystem is also now developing. In a sense, the entire ecosystem is now getting built." Govt has also announced the availability of 16,000 more GPUs, which would take the compute facility available to startups and researchers to 34,000. Vaishnaw said significant progress was made on the India AI Mission, with a focus on the "democratisation of technology". The compute facility, supercharged with 34,000 GPUs, will enable India to develop the AI ecosystem in a big way. "I would like to make some mention about the three teams that were selected today. Like Sarvam, these three teams also have a very big target ahead of them. Whichever sector they focus on, they must be among the top five in the world," Vaishnaw said. Stay informed with the latest business news, updates on bank holidays and public holidays . AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Mint
3 days ago
- Business
- Mint
IndiaAI Mission gets 16,000 new GPUs, three more foundational models
New Delhi: The Union government on Friday approved the empanelment of 15,640 new graphic processing unit (GPU) processors from data centre and cloud service providers, and also appointed three new startups that will get access to these chips for free, to train their artificial intelligence models. Sanjeev Bikhchandani's Info Edge Ventures-backed AI startup, was one of the three startups appointed to build a sovereign foundational AI model for voice-based AI services. The startup will build a 14-billion parameter voice AI model and real-time speech processing and 'advanced reasoning capabilities.' Foundational AI models are typically better when they are based on larger volumes of training data. But, smaller models are less expensive to train, are more targeted towards specific industries, and are easier to run. The other two startups appointed include Bengaluru-based Sokal AI Labs, and Noida-based Gan AI. While Sokai AI is building a 120-billion parameter foundational AI model catering to defence, education and healthcare sectors, Gan AI will build a 70-billion parameter multilingual foundational model for varied applications. Sovereign AI models refer to foundational algorithms built for usage in generative AI applications, but not by global companies. Sovereign models are typically trained on a nation's indigenous datasets, which theoretically help in adding local market data, language and context to AI applications. The three startups join Peak XV-backed Sarvam AI, which became the first startup appointed by the ministry of electronics and information technology (Meity) to build a foundational AI model for India. Union IT minister Ashwini Vaishnaw said that the first of the four foundational models will be rolled out before the end of 2025. In terms of compute, Hiranandani Group's Yotta Data Services was empanelled by Meity a second time, and will supply over 8,000 units of Nvidia's B200 GPUs to cater to the mission. A senior official with direct knowledge of the matter said requesting anonymity that the GPUs will be brought into service within the next two to three months, as Yotta is still in the process of installing them in its data centres. Sify Digital Services was also a part of the empanelled GPU providers, and will supply an unspecified number of Nvidia's H100, H200 and L4 GPU chips. Access to these GPUs is crucial in terms of training AI models. Ganesh Gopalan, chief executive of told Mint that the government empanelment will reduce the company's operating cost to 'one-tenth of what it was before.' Abhishek Upperwal, chief executive of Soket AI, added that 'over 70%' of the company's cost of research and development, as well as training of AI models, are linked to access to GPUs for computing power. 'This is the least possible cost of compute that we're getting access to. We're in talks with venture capital firms for a seed funding round in order to accelerate our research, and within the next one year, a version of our foundational model should be ready,' Upperwal said. Abhishek Singh, chief executive of India AI Mission and additional secretary, Meity, added that the Centre had received 'more than 500 applications for developing India's foundational models.' 'There will be more startup selections in the next few days. On 9 June, Meity is also meeting applicants to empanel more cloud compute providers, and there will be a rolling empanelment process where vendors will be brought online as and when required,' Singh added. The $1.2-billion IndiaAI Mission is tasked with backing startups to build foundational AI models in India, create a subsidized cloud compute platform to help academia, researchers and startups access GPUs to train AI models, and create datasets in Indian languages to train AI models. It is also set to build a marketplace to help startups developing AI models to sell their services to clients. Access to a foundational model is expected to reduce a nation's dependence on other countries for what is being viewed as a fundamental piece of technology going forward. Entrepreneurs added that the development can amplify market outreach for startups building sovereign AI models. 'The government itself can be a key client. But additionally, reducing the cost of compute can help startups build models more efficiently, which in turn can reduce the need for capital that is the biggest cost factor behind developing AI models and conducting R&D,' Gopalan added. Vaishnaw added that the new announcements mark 'significant progress' under the goals set forth by the IndiaAI Mission. 'We have 367 datasets on the mission's non-personal data platform, AI Kosh. The entire ecosystem is being built right now in AI, and the IT industry should capture this transition as an opportunity, rather than be disrupted by it. AI development is also creating an opportunity to reverse India's brain drain, and bring talented engineers back to the country,' the minister said.
