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India AI: 3 more startups to build indigenous foundation model; common compute capacity expanded
India AI: 3 more startups to build indigenous foundation model; common compute capacity expanded

Time of India

time4 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

Government selects 3 more teams for foundation models of AI
Government selects 3 more teams for foundation models of AI

Time of India

time4 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

Three more start-ups selected to get GPU access for Indian AI models
Three more start-ups selected to get GPU access for Indian AI models

The Hindu

time5 days ago

  • Business
  • The Hindu

Three more start-ups selected to get GPU access for Indian AI models

Three firms — Gurugram-based Soket AI, Delhi-based and Bengaluru-based — have been selected in the IndiaAI Mission's ongoing drive to facilitate the development of an indigenous foundational AI large language model (LLM). 'Like Sarvam AI, which was selected earlier this year as the first such firm, these three teams also have a very big target in front of them,' Union Minister for Electronics and Information Technology Ashwini Vaishnaw said. By being selected, these firms will get access to the Common Compute facility, giving them access to thousands of graphics processing units (GPUs) on which AI models are trained and deployed. With the government's facility, operated by a clutch of large tech firms like Sify, set to have a total of 34,000 GPUs soon, Mr. Vaishnaw said that the 'worry' of whether 'India will be able to get that kind of compute' is 'practically over'. co-founder Ganesh Gopalan said that the company had been '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.' The Ministry of Electronics and Information Technology's Additional Secretary Abhishek Singh said that the IndiaAI Mission has also been working on hackathons with 'allied Ministries' like the Ministry of Home Affairs — for classifying cyber crimes — and with the Geological Survey of India for mineral discovery. 'Very soon we will be working with the Ministry of Education, the Ministry of Health and Family Welfare and other ministries for launching more problem statements to give opportunities to our startups and researchers to contribute to solutions,' he said.

After Sarvam.ai, Soket AI, Gnani.ai, Gan.ai to now build foundation AI models, says IndiaAI Mission
After Sarvam.ai, Soket AI, Gnani.ai, Gan.ai to now build foundation AI models, says IndiaAI Mission

Economic Times

time5 days ago

  • Business
  • Economic Times

After Sarvam.ai, Soket AI, Gnani.ai, Gan.ai to now build foundation AI models, says IndiaAI Mission

IndiaAI Mission on Friday announced Soket AI, and will be developing foundation artificial intelligence (AI) models apart from that was initially selected. ET had reported this more than a month AI will develop an open source 120 billion parameter foundation model optimised for the country's linguistic diversity targeting sectors such as defence, healthcare and education. will build a 14 billion parameter voice AI foundation model delivering multilingual, real time speech processing with advanced reasoning will create a 70 billion parameter multilingual foundation model targeting superhuman text-to-speech (TTS) model capabilities.'We are working on another PhD programme and a large talent development programme starting from the very basic to a really advanced level so that the foundational research in AI can also be funded out of the AI mission,' said IT minister Ashwini Vaishnaw. 'I hope some of the smart young engineers working on these teams would like to relocate back to India,' he added. He was referring to the three teams selected to build foundation AI models. 'We're proud 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,' said Ganesh Gopalan, co-founder and chief executive of IndiaAI Mission also said there were now 34,333 GPUs available on the IndiaAI Compute portal. These include GPUs of Nvidia, AMD, AWS, and Intel. The offering comprises 15,100 H100 Nvidia GPUs, 8,192 Nvidia B200 GPUs, 4,812 Nvidia H200 GPUs, and 1,973 Nvidia L40S GPUs. The other GPU variants each comprise less than 1,000 or 500 in seven technically qualified bidders in the second round of the GPU tender are empanelled, it said. However, there was no information on how many of these 34,333 GPUs have been assigned AI workloads and are currently being used. The seven empanelled bidders are Cyfuture India, Ishan Infotech, Locuz Enterprise Solutions, Netmagic IT Services (NTT GDC India) Sify Digital Services, Vensysco Technologies, and Yotta Data Services. In all, 367 datasets have been uploaded on AI Kosh, Vaishnaw revealed. AI Kosh is the government's platform that provides a repository of datasets, models and use cases to enable AI innovation. It also features AI sandbox capabilities. IndiaAI Mission said on May 16 it had received 506 foundation AI proposals across the three phases. Given the overwhelming response and continued interest, the mission has decided to extend the deadline for submissions under phase 3 of the call for proposals. The earlier deadline was April 30.'Further dates for submission of proposals, the acceptance of new applications post April 30, will be announced subsequently, as per requirements, once the examination of proposals already submitted has been completed," IndiaAI said on its part of the first phase of approvals, was selected to initiate the development of an indigenous foundational multi-modal, multi-scale model will have 70 billion parameters. It is developing three model variants. These include Sarvam-Large for advanced reasoning and generation, Sarvam-Small for real-time interactive applications, and Sarvam-Edge for compact on-device will get access to 4,096 Nvidia H100 graphics processing units (GPU) for six months from the IndiaAI Mission.

After Sarvam.ai, Soket AI, Gnani.ai, Gan.ai to now build foundation AI models, says IndiaAI Mission
After Sarvam.ai, Soket AI, Gnani.ai, Gan.ai to now build foundation AI models, says IndiaAI Mission

Time of India

time5 days ago

  • Business
  • Time of India

After Sarvam.ai, Soket AI, Gnani.ai, Gan.ai to now build foundation AI models, says IndiaAI Mission

The IndiaAI Mission on Friday announced Soket AI , , and will be developing foundation artificial intelligence (AI) models apart from , which was initially selected. ET had reported this more than a month ago. Soket AI will develop an open source 120 billion parameter foundation model optimised for the country's linguistic diversity targetting sectors such as defence, healthcare and education. will build a 14 billion parameter voice AI foundation model delivering multilingual, real-time speech processing with advanced reasoning capabilities. will create a 70 billion parameter multilingual foundation model targeting superhuman text-to-speech (TTS) model capabilities. The IndiaAI Mission also said that 34,333 GPUs are now available on the IndiaAI Compute portal. These include GPUs from Nvidia, AMD, AWS, and Intel. The offering comprises 15,100 H100 Nvidia GPUs, 8,192 Nvidia B200 GPUs, 4,812 Nvidia H200 GPUs, and 1,973 Nvidia L40S GPUs. The other GPU variants each comprise fewer than 1,000 or 500 in number. All seven technically qualified bidders in the second round of the GPU tender are empanelled, it said. Live Events The seven empanelled bidders are Cyfuture India, Ishan Infotech, Locuz Enterprise Solutions, Netmagic IT Services (NTT GDC India), Sify Digital Services, Vensysco Technologies, and Yotta Data Services. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories 367 datasets have been uploaded on AI Kosh, Vaishnaw revealed. AI Kosh is the government's platform that provides a repository of datasets, models and use cases to enable AI innovation. It also features AI sandbox capabilities. IndiaAI Mission on May 16 had said that it has received 506 foundation AI proposals across the three phases. Given the overwhelming response and continued interest, the mission has decided to extend the deadline for submissions under phase 3 of the call for proposals. The earlier deadline was April 30. 'Further dates for submission of proposals, the acceptance of new applications post April 30, will be announced subsequently, as per requirements, once the examination of proposals already submitted has been completed," IndiaAI said on its website. As part of the first phase of approvals, was selected to initiate the development of an indigenous foundational model. Sarvam's multimodal, multi-scale model will have 70 billion parameters. Sarvam cofounder Vivek Raghavan had said on April 26 that the model will be completed in six months. Capable of reasoning, designed for voice, and fluent in Indian languages, Sarvam's model will be ready for secure, population-scale deployment, the startup had said in a statement. According to cofounder Pratyush Kumar, Sarvam is developing three model variants -- Sarvam-Large for advanced reasoning and generation, Sarvam-Small for real-time interactive applications, and Sarvam-Edge for compact on-device tasks. Sarvam will get access to 4,096 Nvidia H100 graphics processing units (GPUs) for six months from the IndiaAI Mission's common compute cluster to train its model, people in the know had said. 'We are collaborating with AI4Bharat at IIT-Madras, a leader in Indian language AI research, to build these models,' Kumar had said.

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