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India is laying down the hardware foundation for its AI revolution. In a major development under the IndiaAI Mission, over 17,300 Graphic Processing Units (GPUs) have already been installed as the country works towards building its own AI capabilities—including indigenous Large Language Models (LLMs).
According to a report by The Economic Times, this update was shared in a review meeting chaired by IndiaAI CEO Abhishek Singh last week. The meeting brought together key Cloud Service Providers (CSPs) who are collaborating with the government to enable the compute backbone for India’s AI roadmap.
The Power Behind AI: Where Do the Installations Stand?
As per the report, eight out of the ten selected CSPs have made headway in deploying the allocated GPUs. Leading players like Yotta, NextGen, and E2E Networks have progressed in setting up the infrastructure. However, Jio Platforms and CtrlS Datacenters are yet to begin deployment.
These GPUs are being integrated into the IndiaAI Compute Platform, which will offer AI compute-as-a-service to startups, researchers, and innovators across India. The platform is expected to significantly reduce barriers to high-performance computing (HPC), which has traditionally remained expensive and out of reach for early-stage AI startups and academic institutions.
Why GPUs Matter in India's AI Ambitions
GPUs are essential for training deep learning models, running simulations, and powering high-intensity tasks like natural language processing, computer vision, and generative AI. With the global AI ecosystem evolving rapidly, compute infrastructure is emerging as the new battleground.
Under the IndiaAI Mission, which has a budget outlay of over ₹10,000 crore, the government has already approved the import of 34,333 GPUs in two phases. The current batch of 17,300 installations forms the first major step in operationalizing the infrastructure.
Once fully deployed, these GPUs will support:
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Startup innovation in AI/ML model development
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Academic research in computer science, climate science, biotech, and more
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Creation of India’s own LLMs, challenging global incumbents like OpenAI, Meta, and Google
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A strategic digital asset for India, giving sovereign capability in frontier technologies
Building India’s AI Future: A Platform for All
The IndiaAI Compute Platform is designed to provide democratized access to compute power, leveling the playing field for AI researchers, students, and founders working on early-stage innovations.
Startups, especially in Tier 2 and Tier 3 cities, often lack the resources to access cloud GPU clusters for AI training. Through this initiative, the government intends to bridge the infrastructure gap, allowing more entrepreneurs to build and scale cutting-edge AI solutions within India rather than relying on expensive global platforms.
What Lies Ahead?
While the current GPU installations are a strong start, the overall implementation will depend on how efficiently the CSPs can integrate the infrastructure with the IndiaAI Compute Portal and ensure uptime, support, and seamless access.
With global conversations around AI governance, compute monopolies, and data localization gaining momentum, India’s move to build sovereign AI capabilities through public-private partnerships is being closely watched.
If executed effectively, this initiative could shape India’s role as not just a consumer but a global contributor to responsible and scalable AI technologies.