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Tag: IndiaAI Mission

  • PM Modi, Qualcomm CEO Discuss India’s Advances in AI, Innovation, and Tech Skilling

    The President and CEO of Qualcomm, Cristiano R. Amon, met with Prime Minister Narendra Modi on 11 October to talk about India’s progress in artificial intelligence, innovation, and skill development.

    The Prime Minister conveyed gratitude for Qualcomm’s dedication to India’s AI and Semiconductor Missions. India has unparalleled talent and scale to develop innovations that will influence our shared destiny, he said.

    Amon Thanked PM Modi for His Continuous Efforts in AI

    Cristiano Amon expressed gratitude to the Prime Minister for the insightful conversation about bolstering Qualcomm’s collaboration with India in support of the IndiaAI and India Semiconductor Missions, as well as the 6G transition. He emphasised how India might become a hub for AI smartphones, PCs, smart eyewear, the automotive and industrial sectors, and more.

    “Talking about India’s advancements in AI, innovation, and skilling during our discussion with Mr Cristiano R. Amon was fantastic. It’s encouraging to see Qualcomm’s dedication to India’s AI and semiconductor initiatives,” PM said. He further explained in a post on X, stating, “India offers unparalleled talent and scale to build technologies that will shape our collective future.”

    Amon Responded PM Modi’s Post

    Cristiano Amon responded to PM Modi’s post by saying that the prospects for creating an Indian ecosystem in domains like AI cellphones, PCs, and smart eyewear are encouraging. “Thank you, Prime Minister @narendramodi, for the excellent discussion on expanding the collaboration between India and @Qualcomm to assist the IndiaAI and India Semiconductor Missions and the 6G transition.

    The prospects for creating an Indian ecosystem including AI smartphones, PCs, smart eyewear, automobiles, industries, and more inspire us,” the CEO of Qualcomm stated. Walter Russell Mead, a distinguished fellow at the Hudson Institute, an American think tank, led a visiting US team of business leaders and thinkers that Prime Minister Narendra Modi met with earlier this week.

    Following the meeting, Prime Minister Modi expressed his gratitude for their role in “strengthening India-US ties and advancing our partnership for global peace, progress, and prosperity.”

    Quick Shots

    •PM Modi meets Qualcomm CEO Cristiano Amon on 11
    October to discuss India’s AI, innovation, and skill development initiatives.

    •Talks focused on bolstering Qualcomm’s
    collaboration in these strategic programs.

    •Discussion included India’s roadmap for
    next-generation telecommunications.

    •Qualcomm sees potential for AI smartphones, PCs,
    smart eyewear, automotive, and industrial applications.

    •Highlighted India’s talent and scale to drive
    innovation that shapes the global future.

    •Emphasized the prospects for building a robust
    Indian ecosystem across AI and tech sectors.

  • IndiaAI Mission Selects Fractal, Tech Mahindra and 6 Others to Develop Indigenous LLMs

    Under the IndiaAI Mission, the Centre has chosen eight new organisations to create indigenous fundamental large language models (LLMs). At today’s AI Impact Summit 2026 kickoff event, IT minister Ashwini Vaishnaw announced the eight companies that have been chosen: Tech Mahindra, Fractal Analytics, Avataar AI, Zeinteiq Aitech Innovations, Genloop Intelligence, NeuroDX (Intellihealth), Shodh AI, and IIT Bombay’s BharatGen consortium.

    With INR 988.6 Cr in funding from the Mission, IIT Bombay is reportedly developing a trillion-parameter model. Sarvam AI, Gnani.ai, and Gan AI were the three startups chosen in the initial phase of the IndiaAI Mission to develop AI models.

    The first batch of models is “progressing well”, according to the IT minister, who also voiced optimism that India will have operational LLMs by the time of the AI Impact Summit in February of the next year. In the next ten days, the government also intends to publish an AI framework to direct the creation and application of models.

    “India finally wants to play in the big leagues of AI. The government is throwing its weight behind IIT Bombay, Fractal, Tech Mahindra, and a few others to build indigenous LLMs. On paper, it’s bold. In practice, it’s an uphill climb. Now, with AI, we don’t have the luxury of missing the bus. AI isn’t just another industry. It’s the foundation of every future industry: health, defense, finance, education, governance. If India is only an “AI service center,” we’ll be permanently dependent, permanently behind,” opined Kapil Gupta, Founder, Solh Wellness.

    IndiaAI Mission Also Scaling Computing Infrastructure

    The IndiaAI Mission has been expanding its computing infrastructure in tandem with model development. Abhishek Singh, CEO of the IndiaAI Mission, recently stated that in order to promote research and innovation, the government is attempting to install 38,000 GPUs at reasonable prices throughout the nation.

    Additionally, 600 data laboratories will be established nationwide as part of the initiative. With the assistance of cloud and data service providers like Yotta Data Services and NxtGen Cloud Technologies, India had already deployed over 17,300 GPUs as of June 2025.

    IndiaAI Mission Also Offering Cost Effective Options

    Nearly 3,850 additional GPUs, including NVIDIA H100 units and Google’s sixth-generation Trillium TPUs, have now been added through a third round of tenders. Additionally, the government has been lowering prices; compute power is now available for as little as INR 65 per hour.

    The IndiaAI Mission, which was approved by the Union Cabinet in March 2024 and would cost INR 10,372 Cr over five years, aims to strengthen the nation’s AI ecosystem by providing universities, research institutes, and businesses with access to state-of-the-art computing capacity.

    AI Governance Framework by 28 September

    Additionally, according to Vaishnaw, by September 28, the Ministry of Electronics and IT (MeitY) will publish an AI governance framework that would describe checks and balances and safety restrictions to protect civilians from AI harm. He stated that the Ministry was collaborating with the Ministry of External Affairs to determine the list of invitees for the AI Impact Summit, including whether to invite nations like China that did not attend previous summits in the UK, South Korea, and France.

    The Promotion and Regulation of Online Gaming Act, which outlaws all online money games, will go into effect on October 1st, the Minister further stated.

    Quick
    Shots

    •Tech Mahindra, Fractal Analytics,
    Avataar AI, Zeinteiq Aitech, Genloop, NeuroDX, Shodh AI, and IIT Bombay’s
    BharatGen Selected for IndiaAI Mission.

    •IIT Bombay developing a
    trillion-parameter model with INR 988.6 Cr funding.

    •Sarvam AI, Gnani.ai, and Gan AI
    chosen earlier; models reportedly progressing well.

    •Govt targets 38,000 GPUs for
    research, already deployed 17,300 as of June 2025.

  • Centre Proposes 20-Year Tax Exemption for Data Centres to Boost Digital Infrastructure

    The Centre has suggested that data centre developers receive a 20-year tax exemption in an effort to boost the data centre sector. Developers that satisfy the goals for capacity expansion, power usage efficiency, and job creation would be exempt from taxes, as per the draft National Data Centre Policy 2025, which Business Standard analysed.

    According to the report, the Ministry of Electronics and Information Technology (MeitY) is likely to ask the Finance Ministry to permit input tax credit on GST, which is imposed on capital assets like data centre construction, HVAC, air conditioning, and other electronic equipment used in data centres.

    “The government’s proposal of a 20-year tax exemption for data centers is a visionary step that underscores India’s commitment to building a robust digital-first economy. Data centers form the backbone of our digital ecosystem, and this move will not only attract significant domestic and global investments but also accelerate the growth of allied industries such as cloud services, AI, IoT, and interconnection platforms. Such forward-looking incentives act as catalysts that empower enterprises, SMEs, and ISPs to accelerate innovation and growth with renewed confidence. A 20-year tax holiday offers long-term clarity for investors, paving the way for world-class infrastructure, regional data sovereignty, and advanced interconnection. This certainty strengthens India’s digital foundation while ensuring faster, safer, and more dependable services for businesses and citizens alike,” opined Sudhir Kunder, Chief Business Officer, DE-CIX India.

    Draft Policy Currently Being Reviewed

    Stakeholders are presently receiving the draft policy for review and comment. To make power accessible to data centres, the draft policy suggests that the IT ministry work with the Central Electricity Authority, the power ministry, and other important government-led organisations.

    The goal of the policy is to stimulate the sector in light of the growing need for data centres. By 2030, India’s internet user base is predicted to reach 1.2 billion, necessitating the construction of data centre-powered cloud infrastructure. In addition, the need for data centres—which are essential to AI—has increased dramatically as a result of the technology’s quick adoption. To train and implement complicated AI models, data centres offer the processing power, fast networking, and massive storage required.

    With an investment of more than INR 10,000 Cr, the Centre notably announced the IndiaAI Mission, which aims to build AI compute infrastructure through a public-private partnership and create AI foundational models encompassing key Indian languages for important areas including governance, healthcare, and agriculture.

    Data Centres Alluring Foreign Investments

    Many international AI and large tech businesses are investing in the nation’s data centre market, encouraged by the increase in the use of AI. For example, OpenAI intends to establish a data centre in India and is seeking to collaborate with regional companies to build a facility with a minimum capacity of one gigawatt (GW).

    In Andhra Pradesh, Google also intends to invest $6 billion to construct a 1 GW data centre and related power infrastructure. The IndiaAI Mission has chosen three AI startups to create domestic AI models in India: Soket AI Labs, Gnani.ai, and Gan.ai. According to the Economic Survey for 2024–2025, the data centre market in India is anticipated to grow to a value of $11.6 billion by 2032.

    Quick
    Shots

    •Developers must meet goals on capacity expansion,
    power efficiency, and job creation to qualify.

    •Input tax credit on GST for capital assets like
    HVAC, AC, and electronic equipment also under consideration.

    •Draft policy suggests collaboration with CEA and
    power ministry to ensure reliable electricity supply.

    •India’s internet users projected to reach 1.2
    billion by 2030, driving demand for cloud and data centres.

  • IndiaAI to Procure 3,800+ GPUs in Third Tender to Boost AI Infrastructure

    In the third round, the IndiaAI Mission plans to add over 3,850 graphics processing units (GPUs) to increase its GPU capabilities. Abhishek Singh, the chief executive of the IndiaAI Mission, was quoted in an ET report as saying that IndiaAI possesses 1,050 Google Trillium tensor processing units (TPUs).

    From training to inferring large-scale models, Google’s sixth-generation TPUs, known as Trillium, are specially designed processors designed to enhance AI and ML workloads.

    Expressing his views on the developments, Deepak Gupta, Co-Founder, Style Lounge said, “India’s move to procure 3,800 GPUs in its third AI tender is not just about hardware—it’s about unlocking possibilities. For years, many Indian startups, researchers, and innovators have had the ideas, the talent, and the drive, but lacked the computing muscle to bring those visions alive. This step feels like a big green signal for innovation. GPUs are the fuel that power everything—from training large AI models to building practical solutions in healthcare, education, beauty-tech, recruitment, and even agriculture.”

    “With this kind of infrastructure, India is giving its innovators a fair chance to not just catch up, but actually lead with unique, world-first AI solutions. As someone working at the intersection of AI and industry, I see this as more than an investment—it’s a message that India is ready to dream bigger. Ready to create AI that is not just for India, but from India, for the world. Truly excited to see how this boost in compute capacity can transform ideas into breakthroughs and put India firmly on the global AI map,” he added further.

    Breakdown of GPU Suppliers and Contributions

    Google Cloud offers these customised processors for purchase. Additional GPUs supplied by already-embellished bidders include 1,300 NVIDIA H100 GPUs from Locuz, 50 Google Trillium TPUs from Ishan Infotech, and 2,500 GPUs from Sify (1,000 Google Trillium TPUs, 800 NVIDIA H200 GPUs, and 700 NVIDIA L4 GPUs), according to Singh, who was quoted in the story. Vensysco has reduced costs, but they haven’t supplied any more GPUs.

    Revisions in L1 Pricing and Financial Evaluation

    The ET report also stated that the third round’s financial bid evaluation was finished, with minor adjustments made to the L1 (lowest bidder) prices. It is anticipated that the empanelled bidders from the GPU tender’s first and second rounds will match these updated prices.

    India’s AI GPU Pool Crosses 34,000 Units

    The 34,333 GPUs in the current pool will be joined by these extra 3,850 GPUs from the third round. More than 17,300 GPUs have been installed in India as of June of this year under the IndiaAI Mission. Jio Platforms and CtrlS Datacenters have not yet started the deployment process, but providers like Yotta Data Services from the Hiranandani Group, E2E Networks, and NxtGen Cloud Technologies are making progress.

    Upcoming GPU Procurement Plans Under IndiaAI Mission

    At the CII Business Summit 2025 more than two months ago, Ashwini Vaishnaw, the minister of information technology, declared that the government would buy an extra 14,000 GPUs as part of the IndiaAI objective. The minister went on to highlight the increase in processing power, stating that the nation has surpassed the 34,000-GPU milestone after adding 15,916 GPUs to the 18,417 already-installed GPUs; however, these new units are not yet operational.

    In the second round, the MeitY shortlisted seven businesses: Ishan Infotech, Yotta Data Services, Locuz Enterprise Solutions, Vensysco Technologies, Cyfuture India, Sify Digital Services, and Netmagic IT Services. Four of the six applying companies—Locuz Enterprise Solutions, Ishan Infotech, Vensysco Technologies, and Sify Digital Services—passed the technical phase in the third round. Nevertheless, Rackbank Datacenters and Teleglobal International failed to get past the round.

    Quick
    Shots

    •IndiaAI Mission to procure 3,850+
    GPUs in its third round of tenders.

    •IndiaAI already has 1,050 Google
    Trillium TPUs in place.

    •IndiaAI’s GPU capacity rises to
    34,333 GPUs with new additions.

    •Govt to procure 14,000 more GPUs as
    announced by IT Minister Ashwini Vaishnaw.

  • Karnataka Unveils Vision for AI Future with State-Backed Mission

    According to reports, the Karnataka government intends to join the Center-led IndiaAI Mission by launching a specialised AI mission. As GenAI becomes more widely used, it is necessary to control its use and establish a framework, according to a media article that quoted Karnataka’s minister of electronics, information technology, and biotechnology, Priyank Kharge.

    In order to create a distinct framework for AI, Kharge continued, the state is currently considering including the new policy into the next Karnataka IT policy 2025–2030. At the Bengaluru Tech Summit in November, the state intends to introduce its new IT policy. Over a million techies and one lakh AI specialists call Karnataka home.

    The state’s AI Workforce Impact Study, which aims to explore how AI automation is affecting the workforce and what skills people should prioritise for the future, was launched shortly after the AI framework policy talks.

    Karnataka Fostering Matured Startup Ecosystem

    Conversely, Karnataka boasts one of the most developed startup ecosystems in the nation, as Bengaluru-based AI startups secured $872 million in funding over the past five years, according to India’s AI Uprising: GenAI, AI Agents & The Future Of Startups, Report 2025.

    A Centre for Applied AI for Tech Solutions (CATS) would be established with an investment of INR 50 Cr over the next five years, in addition to the INR 100 Cr corpus for deep tech businesses that the state of Karnataka announced in this year’s budget. With more than $2 billion in financing, Bengaluru was the most well-funded startup cluster overall.

    The Centre is already on track to promote the creation of domestic AI models in the nation under its IndiaAI mission, which has an expenditure of more than INR 10K Cr, even though Karnataka plans to create its own AI mission.

    The Centre-led initiative to develop indigenous LLMs in India has already shortlisted GenAI firms SarvamAI, Gnani.ai, and Soket AI. This will also boost India’s GenAI sector, which is predicted to grow to a $17 billion opportunity by 2030.

    India’s AI Roadmap

    The government is providing investment funds and other forms of support to firms like Sarvam, Gnani, Gan, and Soket AI Labs in order to encourage the development of LLMs as part of India’s AI goal. More LLM-developing applications that will receive GPU access or grants will shortly be announced by the IndiaAI Mission, according to various media reports.

    With a plethora of ideas under the IndiaAI Mission centred on creating large language models (LLMs), India’s push to become a leader in artificial intelligence (AI) is gathering steam.

    According to a media report that quoted Sunil Gupta, CEO of Yotta Data Services, the country’s strategic commitment to autonomous and culturally relevant AI is demonstrated by the 43 proposals out of 506 that the India AI Mission received for the development of foundation AI models that are explicitly devoted to creating LLMs.

  • Government to Acquire 14,000 More GPUs, Announces IT Minister

    According to reports, Ashwini Vaishnaw, the minister of information technology, stated that the government is prepared to acquire 14,000 more graphics processing units (GPUs) as part of the IndiaAI Mission.

    Vaishnaw stated that the ministry’s goal in the initial round was to make 10,000 GPUs accessible to everyone. Therefore, the ministry obtained 18,000 GPUs in the first round alone, exceeding the 10,000 GPU target, and is now on the verge of receiving an additional 14,000 GPUs. That’s a significant amount, then.

    This will be on top of the 18,000 GPUs that the Centre has already purchased in recent months. The government invited bidders to submit GPUs for the shared computing facility in January of this year, including CMS Computers, Jio Platforms, Tata Communications, E2E Networks, and Yotta Data Services.

    Vaishnaw had previously stated that this computer centre will be the “most affordable” in the world, with an hourly rate of less than $1. It is important to remember that the government will pay 40% of the cost of the AI compute pricing.

    India Building an Ingenious AI Infrastructure  

    According to reports, Vaishnaw stated, “This is a big change, and AI is here for good,” when speaking at the CII Business Summit 2025.

    The minister emphasised the significance of an indigenous large language model (LLM) and stated that the nation will soon have AI models that are created and trained using Indian data, which includes societal norms, nuances, languages, and culture.

     The Centre is currently in the advanced phases of accepting three to four applications for the AI model being developed by SarvamAI, Vaishnaw added in reference to the initiative to establish an indigenous LLM.

    According to Vaishnaw, the IT Ministry has started working on developing models. Sarvam is working on one of the first ones, and there are currently three to four applications in the advanced stage of approval.

    As part of this process, the ministry is also utilising shared datasets to enable individuals to create their own applications that are beneficial to them, whether they are in the industrial, healthcare, or agricultural sectors.

    Highlighting India’s Semiconductor Chip Manufacturing Goals

    It is important to remember that SarvamAI was chosen from the initial group of candidates to develop the domestic AI model as part of the INR 10,371.92 Cr IndiaAI initiative. According to reports, he also mentioned that the government wants to “democratise” access to AI and have the nation ready for a swift technological revolution.

    Vaishnaw also reaffirmed that later this year, a local factory will produce India’s first semiconductor chip, which will have a size range of 28 to 90 nanometres (nm). Six fabrication units are currently being built, Vaishnaw continued. It is anticipated that the first Made in India chip would be released this year. “We initiated this journey in 2022, and the progress has been steady,” he stated.

    The minister explained that the government took a “focused approach” by focusing on a certain market sector that accounts for 60% of the world’s semiconductor demand, which is why it chose to target the 28 to 90 nm region. Chips in this category are utilised in power equipment, telecommunications, and automotive systems.

  • Race Heats Up: 7 Firms Make the Cut in MeitY’s AI GPU Tender Round 2

    According to media sources, the IndiaAI Mission has selected seven businesses for technical review under the second phase of the graphics processing units (GPU) tender, including partners of Google Cloud, Oracle, and Amazon Web Services (AWS).

    The companies Cyfuture India, Sify Digital Services, Vensysco Technologies, Locuz Enterprise Solutions, Yotta Data Services, Ishan Infotech, and Netmagic IT Services (now NTT Global Data Centres & Cloud Infrastructure India, or NTT GDC India) have been invited by the Mission to present their technical proposals on May 14.

    MeitY Expects 15,000 GPUs

    In this round, the Ministry of Electronics and Information Technology (MeitY) anticipates receiving 15,000 GPUs. Locuz and Vensysco affirmed their partnership with AWS.

    Although the specifics of their collaboration for this proposal are unknown, Ishan Infotech is an Oracle partner and NTT-Netmagic is a Google Cloud partner in India. Appsquadz Software and AWS will be Vensysco’s consortium partners, according to Vikash Kumar Dubey, managing director of Vensysco Technologies.

    Vensysco will provide 2,300 GPUs, including 200 AWS Inferentia 2 GPUs, 100 AWS Trainium 1 GPUs, and 2,000 Nvidia H100 GPUs. In addition, it is providing 1,300 more GPUs this time around than it did the last time, which was 1,000.

    One of the five lowest (L1) bidders in the initial round was Locuz, which is currently owned by SHI International, a US IT infrastructure company.

    Yotta and Vensysco Emerged as L2 Bidders

    Among others, Yotta and Vensysco have been L2 bidders in the first round. Similar offers of 1,000 GPUs, comprising 700 Nvidia H100 GPUs, 200 AWS Inferentia 2 GPUs, and 100 AWS Trainium 1 GPUs, were made by Locuz and Vensysco in that round.

    Cyfuture India’s CEO, Anuj Bairathi, informed a news outlet that the company has placed purchase orders for 1,184 GPUs. These consist of AMD’s MI300 and MI325 GPUs, Intel’s Gaudi 2 and Gaudi 3 GPUs, and Nvidia’s H100, L40S, and A100 GPUs. Cyfuture, a cloud service provider with MeitY panels, developed Cyfuture.ai, a fully integrated AI platform.

    Technically, the business was not eligible for the GPU tender’s first round. ET’s queries for responses from IndiaAI, NTT GDC India, Google Cloud, Sify, Yotta, Ishan, and Oracle were not answered. In order to preserve its leadership in AI and national security, nations like the US have placed export limits on modern AI chips, particularly GPUs, making them a highly sought-after resource globally.

     In January, India formally began its INR 10,000-crore India AI Mission, in which empanelled bidders offered 14,517 GPUs at L1 prices, falling short of the 10,000 GPU threshold specified in the IndiaAI compute pillar.

    As part of the mission, the government is also providing investment funding and other forms of support to academia and industry to encourage the development of local language models. The goal of the action is to increase India’s AI capabilities.

  • India Prepares for the AI Challenge by Developing its Own LLM Fundamental Model

    IT Minister Ashwini Vaishnaw announced on January 30 that the Indian government has chosen to develop a large language model of its own domestically as part of the INR 10,370 crore IndiaAI Mission, just days after a startup Chinese artificial intelligence (AI) lab unveiled the low-cost foundational model DeepSeek.

    Additionally, the government has chosen ten businesses to provide 18,693 graphics processing units, or GPUs—high-end CPUs required to create machine learning tools that can be used to build a basic model. These firms include CMS Computers, Ctrls Datacenters, Locuz Enterprise Solutions, NxtGen Datacenter, Orient Technologies, Jio Platforms, Tata Communications, Yotta, which is funded by the Hiranandani Group, and Vensysco Technologies. Yotta has promised to supply 9,216 GPUs, which accounts for over half of the total.

    According to Vaishnaw, ministry teams have been collaborating closely with professors, researchers, startups, and others for the past one and a half years. The government is currently soliciting ideas for creating India’s own basic model. The model is free of prejudices and will take into account the Indian background, languages, and culture.

    Sharing his views on the subject, Giridhar LV, CEO and Co-founder, Nuvepro Technologies opoined, “India’s AI journey is no longer about catching up—it’s about leading with innovation. With the rapid advancements in AI, India is stepping up by developing its own Large Language Model (LLM)—a foundational AI model tailored to the country’s diverse linguistic and industry needs. Unlike generic global models, this initiative aims to create an AI framework deeply rooted in India’s unique datasets, regional languages, and cultural nuances. By investing in homegrown AI capabilities, India is ensuring data sovereignty, reduced dependency on foreign models, and AI solutions that align with local industries. The push towards indigenous AI development also aligns with the government’s Digital India and Atmanirbhar Bharat initiatives, fostering self-reliance in technology.”

    Focus on Developing Fundamental Model

    In addition, Vaishnaw stated that the government is in contact with a minimum of six developers to construct the foundational model, which may take four to eight months. “In the coming months, we will have a world-class foundational model,” the minister stated. However, he omitted to mention the companies the government is currently in contact with or the estimated cost of building the model. Regarding assisting with the acquisition of computing power, Vaishnaw stated that approximately 10,000 GPUs out of the 18,693 that have been authorised for empanelment are prepared for installation today.

    In a few days, the government will open a shared computing facility where researchers and businesses can access the power of computers. Higher-end GPU access will cost INR 150 per hour, while lower-end GPU use would cost Rs 115.85 per hour. The government would provide end customers with a 40% price subsidy to further facilitate access to these services.

    Proposal from IndiaAI Mission

    The IndiaAI Mission’s plan states that the bids for building LLMs will be shortlisted based on a number of criteria, including the approach’s innovativeness, scalability and sustainability, financial viability, and ethical considerations, among others.

    Additionally, the Centre will choose candidates based on the teams’ abilities, the viability of the submissions, and their potential impact. According to a blog post on the IndiaAI website, a panel of experts will analyse the submitted proposals before inviting the chosen candidates for a thorough presentation. It is anticipated that startups aiming to create an LLM that is developed domestically will also have access to this AI compute. Although it is still unclear if the prospective foundational AI model will be implemented, optimism depends on India’s startup ecosystem’s resourcefulness, inventiveness, and talent pool.

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    StartupTalkyNitin Konde