India is set to launch its own safe and affordable artificial intelligence model, as announced by Shri Ashwini Vaishnaw, Union Minister for Electronics & IT, in New Delhi. This new AI model is designed to be secure, inclusive, and tailored to Indian needs, supporting multiple Indian languages.
The India AI Mission uses a powerful shared computing infrastructure, starting with 10,000 GPUs and soon expanding to nearly 18,700 GPUs. The goal is to provide accessible AI tools for researchers, students, and developers across the country. With government subsidies, the computing cost will be less than ₹100 per hour—much lower than global alternatives.
The Union Minister highlighted the importance of ethical AI and announced the creation of an Artificial Intelligence Safety Institute to ensure the safe use of AI through a strong techno-legal framework.
India’s AI model is expected to be completed within six months, making advanced, affordable AI solutions available for all and supporting India’s leadership in ethical AI development.
Emphasising the need for AI-related safety, Minister @AshwiniVaishnaw announced the establishment of an AI Safety Institute.
— Ministry of Electronics & IT (@GoI_MeitY) January 30, 2025
To enable researchers, developers & other stakeholders to develop tools, frameworks and processes for AI safety.#DigitalIndia @abhish18 @OfficialINDIAai pic.twitter.com/hOGfVdnQPw
India is taking big steps to ensure data privacy and ethical AI development through eight major initiatives. These projects focus on data security, algorithmic transparency, and the responsible use of artificial intelligence:
Machine Unlearning at IIT Jodhpur: Removes unwanted or sensitive data from AI systems for better privacy.
Synthetic Data Generation by IIT Roorkee: Creates artificial data to train AI models while protecting real user data.
AI Bias Mitigation at NIT Raipur: Reduces bias in AI algorithms for fairer outcomes.
Explainable AI Framework by Minecraft Technologies & DIAT Pune: Makes AI decisions more transparent and understandable.
Privacy Enhancing Techniques: Developed by IIT Delhi, IIIT Delhi, IIT Dharwad, and TEC, these techniques keep data secure during AI processing.
AI Ethical Certification (IIIT Delhi & TEC): Ensures AI models meet ethical standards using the Tool Nishpaksh.
AI Auditing Framework by Civic Data Labs: “Parakh” tool checks AI algorithms for fairness and accuracy.
AI Governance Testing by Amrita Vishwa Vidyapeetham & TEC: Ensures safe, ethical, and accountable AI deployment.
The Common Compute Facility serves as the backbone for safe and democratic AI development in India.
India’s World-Class AI Compute Infrastructure
Under the India AI Mission, India has built a massive, state-of-the-art computing infrastructure that now houses 18,693 GPUs—including 12,896 H100, 1,480 H200, and 7,200 MI 200300 units. This setup surpasses the original target of 10,000 GPUs and gives India an edge in AI research and development. For context, DeepSeek was trained on 2,000 GPUs, while ChatGPT used around 25,000 GPUs.
This advanced infrastructure will:
Accelerate AI research and model training
Enable ethical AI algorithm development
Foster innovation within the Indian AI ecosystem
Support global-standard AI solutions
A shared compute tool is now available, with 10,000 GPUs ready for use by researchers, developers, and the AI community. The facility will soon be open for broader public access.
Cloud-Based AI Services: Empowering the AI Ecosystem
The India AI Mission was launched with a ₹10,372 crore government investment in March 2024, aiming to make India a leader in AI technology and applications. One of the main goals is to provide 10,000 GPUs for AI compute infrastructure.
The Ministry of Electronics and Information Technology (MeitY), through the IndiaAI Independent Business Division (IBD), released a Request for Empanelment (RFE) on August 16, 2024. This RFE is for empanelling cloud-based AI services for academia, MSMEs, startups, researchers, governments, public sector, and other approved entities.
A total of 19 bidders submitted proposals, including Managed Service Providers (MSPs), Cloud Service Providers (CSPs), and Data Center Service Providers. After technical evaluation, 10 bidders were qualified for the financial bid stage. On January 22, 2025, their commercial offers for various AI compute units (GPUs) were opened, moving India closer to providing world-class cloud AI services.
- CMS Computers India Pvt Ltd
- Ctrls Datacenters Ltd
- E2E Networks Limited
- Jio Platforms Limited
- Locuz Enterprise Solutions Limited
- NxtGen Datacenter and Cloud Technologies Private Limited
- Orient Technologies Limited
- Tata Communications Limited
- Vensysco Technologies Limited
- Yotta Data Services Private Limited
Intel Gaudi 2, AMD MI300X, MI325 X, NVIDIA H100 (PCIe, NVL and SXM), NVIDIA H200 (PCIe, NVL and SXM), NVIDIA A100, NVIDIA L40S, NVIDIA L4, AWS Inferentia2 and Aws Tranium have been stated by these bidders as varied category of artificial intelligence compute units (GPUs). Additionally provided by bidders are eight GPU modules of AMD and NVIDIA.
Under empanelment, the bidder quoted the L1 rates for a certain category of compute unit will be affiliated first and all other bidders in that category of the compute unit will be eligible for empanelment should they agree to match the L1 bid.
Leave a Reply