Lok Sabha Question No. 6044 (UNSTARRED), answered on 2026-04-01
Subject: Global AI Compute Grid
Ministry: ELECTRONICS AND INFORMATION TECHNOLOGY
Asked by: Smt. Satabdi Roy

## GOVERNMENT OF INDIA MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY

## LOK SABHA UNSTARRED QUESTION NO. 6044

TO BE ANSWERED ON: 01.04.2026

## GLOBAL AI COMPUTE GRID

## 6044.  SMT. SATABDI ROY:

Will the Minister of ELECTRONICS AND INFORMATION TECHNOLOGY be pleased to state:

(a) the projected commissioning date of IndiaAI Compute Infrastructure under the Global AI Compute Grid (GCC) and the phase-wise compute capacity targets set under the Rs. 10,372 crore IndiaAI Mission;

- (b) the time by which SARVAM AI be made publicly accessible and the amount of funds (in Rs.) allocated and disbursed for its development since the inception of the project;
- (c) the number of entities shortlisted for IndiaAI Innovation Centre, Artificial Intelligence (AI) datasets platform and IndiaAI Future Skills programme and whether the list is likely to be released publicly; and
- (d) if so, whether the Government has fixed time-bound milestones and audit mechanisms for tracking delivery, expenditure and public access across IndiaAI Mission components?

## ANSWER

## MINISTER OF STATE FOR ELECTRONICS AND INFORMATION TECHNOLOGY (SHRI JITIN PRASADA)

(a) to (d): India's AI strategy is based on the Hon'ble Prime Minister's vision to democratize the  use  of  technology.  It  aims  to  address  India  centric  challenges,  create  economic  and employment opportunities for all Indians.

## Affordable Compute Capacity

A National  AI  compute  capacity  has  been  operationalized  through  empanelled  AI  service providers offering GPU access on cloud at subsidized rates to eligible users. The common compute is available to startups, researchers, academic institutions and government organizations.

- More than 38,000 GPUs have been empanelled through 14 AI service providers to provide shared AI compute infrastructure
- Data  centres  located  across  the  country  including  Mumbai,  Navi  Mumbai,  Hyderabad, Bengaluru, Noida and Jamnagar are providing these services
- IndiaAI Compute Portal (https://compute.indiaai.gov.in) enables eligible users including researchers to discover and access GPU compute resources
- Access to these GPUs is provided at subsidized rates; Average rate is approximately Rs 65 per GPU per hour, except for select high-end GPUs
- Empanelled  providers  are  delivering  storage,  networking,  AI  platforms  and  other supporting services necessary for AI model development and deployment

The compute capacity is being further expanded by adding 20,000 GPUs under the IndiaAI Mission (currently under process).

## India's own Foundational Models under the IndiaAI Mission:

Under  this  pillar,  the  Government  of  India  is  supporting  Indian  startups,  consortia  and institutions to develop large language models, multimodal models and domain-specific small language models.

Twelve  organisations  and  consortia,  including  startups,  industry  players  and  academic institutions have been selected for developing Large and Small Language Models based on Indian datasets.

The models are being developed based on Indian datasets spanning all 22 scheduled Indian languages.

The  selected  projects  cover  multilingual  foundational  models,  speech  and  voice  models, multimodal AI, scientific models, healthcare reasoning systems, and agentic AI platforms.

The resulting AI models are expected to contribute to the open-source ecosystem by making them  available  through  AIKosh  platform  for  other  startups  and  researchers.  This  will  fuel innovation across India's startup and research community.

## Details of these organisations on Annexure -1.

Financial assistance is provided to selected organizations to cover actual compute  usage costs, while an additional 25% of the compute expenditure is being earmarked to support ancillary expenses such as datasets and personnel.

Models developed by Sarvam AI, BharatGen, Gnani and Socket were launched during the IndiaAI Impact Summit 2026. These models represent important progress in building India's own AI capabilities tailored to local languages and use-cases.

Sarvam AI's model has demonstrated relatively high accuracy in document understanding and Indic  language  processing.  BharatGen,  led  by  the  IIT  Bombay  consortium,  has  developed Param2 AI model.

Sarvam  and  BharatGen  models  are  now  available  on  AIKosh  platform  for  the  developer community to develop AI based applications based on that.

## IndiaAI FutureSkills

Under the IndiaAI FutureSkills pillar, the Government is developing an extensive AI talent and  research  pipeline  by  supporting  500  PhD  fellows,  5,000  postgraduates  and  8,000 undergraduates.

To date, 500+ fellowships have already been awarded across UG, PG, and PhD levels, covering students from 80+ institutions.

A dedicated portal called https://fellowship.indiaai.gov.in/ has been created to facilitate the application process.

The Government has put in place a structured governance and monitoring framework under the IndiaAI Mission to ensure time-bound implementation, financial oversight and outcome tracking across its components.

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## ●

- Mission Governing Board (MGB):

The apex body responsible for overall guidance, periodic review and strategic oversight. It reviews the technical and financial progress of the Mission at least annually and provides directions to ensure timely achievement of objectives.

- Project Review and Steering Committee (PRSG):

Responsible for defining delivery milestones, performance metrics and implementation frameworks for each component. It also undertakes half-yearly review of financial progress and recommends release of funds based on performance.

- Project Implementation Monitoring Committee (PIMC):

Monitors the implementation and progress of individual components on a continuous basis, ensuring adherence to timelines and delivery targets.

These  mechanisms  collectively ensure regular monitoring, milestone-based execution, financial accountability and course correction, thereby enabling effective delivery and public access to outcomes under the IndiaAI Mission.

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Proposals selected to build India's Foundation Models:

1. Sarvam AI -  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".
2. Soket AI - Developing India's first open-source 120 billion parameter foundation model optimized for the country's linguistic diversity, targeting sectors such as defence, healthcare, and education.
3. Gnani  AI -  Building  a  14  billion  parameter  Voice  AI  foundation  model  delivering multilingual, real-time speech processing with advanced reasoning capabilities.
4. Gan  AI -Creating  a  70  billion  parameter  multilingual  foundation  model  targeting "Superhuman TTS(text-to-speech)" capabilities to surpass current global leaders.
5. Avatar AI -Creating specialized 'AI Avatars' up to 70B parameters, optimized for Indian languages and domains such as agriculture, healthcare, and governance.
6. IIT  Bombay  Consortium -Bharat  Gen -Developing  multilingual  and  multimodal models ranging from 2B to 1T parameters, with an open-source approach to support applications in agriculture, finance, legal, health, and education.
7. Fractal  Analytics  Ltd. -Building  India's  first  large  reasoning  model  of  up  to  70B parameters, designed for structured reasoning, STEM disciplines, and medical problem-solving.
8. Tech Mahindra Maker's Lab -Designing an efficient 8B parameter model for Indic languages  (with  a  focus  on  Hindi  dialects),  alongside  an  agentic  AI  platform,  Orion,  for government applications.
9. Zenteiq -Developing BrahmAI, a science-driven multimodal foundation model (8B -80B parameters) to advance engineering intelligence, scientific computing, and industrial innovation.
10. GenLoop -Creating  small  language  models  (2B  parameters) -Yukti  (Base),  Varta (Instruction),  and  Kavach  (Guard) -to  support  all  22  scheduled  Indian  languages  with  native reasoning and content moderation.
11. Intellihealth -Proposing a 20B parameter model for EEG signal analysis to enable early screening of neurological disorders and advance brain -computer interface research.
12. Shodh AI -Developing a 7B parameter model for material discovery, integrating AI into experimental workflows to accelerate innovation in material sciences.

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