India’s Common Compute Capacity Crosses 34,000 GPUs

3 More Startups to Develop and Deploy Indian Foundation Models

India’s national compute capacity has crossed 34000 GPUs. Along with this, the selection of three new startups for building India’s own Foundation Model, the IndiaAI Mission has taken a significant leap toward strengthening indigenous AI capabilities.

Marking this milestone, Union Minister for Electronics & Information Technology Shri Ashwini Vaishnaw today announced several key initiatives at the ‘IndiaAI- Make AI in India, Make AI work for India’ event held in New Delhi aimed at advancing India’s AI journey.

Union Minister Shri Ashwini Vaishnaw urged the newly selected teams under the IndiaAI Mission to aim for a top-five global position in their respective sectors. Emphasizing Prime Minister Shri Narendra Modi’s vision of democratization of technology, Union Minister Shri Vaishnaw said, “Technology should not be left in the hands of a few. It’s very important that a larger section of the society should be able to access technology, develop new solutions and get better opportunities. That’s the philosophy with which IndiaAI Mission was created. We are making significant progress in practically every pillar of the AI mission. Common compute is a very important principle of democratizing technology.”

Union Minister shared that 367 datasets have already been uploaded to AI Kosh. The Minister also underlined IndiaAI Mission’s role in fostering reverse brain drain, and creating a comprehensive ecosystem encompassing foundational models, compute capacity, safety standards, and talent development initiatives. He emphasized that these efforts are aimed at building a complete and inclusive AI ecosystem in India.

Three More Indigenous Foundation Models

The IndiaAI Foundation Model pillar within the Mission aims to develop and deploy indigenous foundational models trained on India-specific data. Since the Call for Proposals launch, 506 proposals have been received till April 30, 2025. On 26^th April 2025, Sarvam AI has been selected to build India’s Sovereign LLM Ecosystem, developing an open source 120 billion parameter AI model to enhance governance and public service access through use cases like “2047: Citizen Connect” and “AI4Pragati”. This follows the earlier launch of the Sarvam-1 model (2 billion parameters) and Sarvam-M (24B parameters) model with hybrid reasoning capabilities.

In addition to Sarvam AI, three more proposals have been selected following a rigorous multi-stage expert evaluation:

1. Soket AI will develop India’s first open-source 120 billion parameter foundation model optimized for the country’s linguistic diversity, targeting sectors such as defense, healthcare, and education.
2. Gnani AI will build a 14 billion parameter Voice AI foundation model delivering multilingual, real-time speech processing with advanced reasoning capabilities.
3. Gan AI will create a 70 billion parameter multilingual foundation model targeting “Superhuman TTS(text-to-speech)” capabilities to surpass current global leaders.

Expansion of compute capacity

Union Minister Shri Ashwini Vaishnaw, announced the additional 15,916 GPUs to the existing 18,417 empanelled GPUs creating a total of 34,333 GPUs with support of industry partners. This 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.

The seven bidders listed below have offered their commercials for various categories of AI compute units (GPUs) quoted in Table 1 and Table 2:

1. Cyfuture India Pvt. Ltd.,
2. Ishan Infotech Ltd.,
3. Locuz Enterprise Solutions Ltd.,
4. Netmagic IT Services Pvt. Ltd.,
5. Sify Digital Services Ltd.,
6. Vensysco Technologies Ltd.,
7. Yotta Data Services Pvt. Ltd.,

IndiaAI I4C CyberGuard AI Hackathon

Under the IndiaAI Applications Development Initiative, Union Minister, Shri Ashwini Vaishnaw, announced the winners of the IndiaAI I4C CyberGuard AI Hackathon, jointly organised with Indian Cyber Crime Coordination Centre (I4C), Ministry of Home Affairs as annexed in Annexure 1. 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.

About India AI

IndiaAI, an Independent Business Division under MeitY, is the implementation agency for the IndiaAI Mission. It strives to democratize the benefits of AI across all strata of society, bolster India’s leadership in AI, foster technological self-reliance, and ensure the ethical and responsible use of AI.

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Dharmendra Tewari/ Navin Sreejith

Table 1: L1 Bid Price and L1 Bidder for On-Demand & One-Month Pricing

Table 2: L1 Bid Price and L1 Bidder for Six-Months & Twelve-Months Pricing

Annexure I

Winners of IndiaAI I4C CyberGuard AI Hackathon