IndiaAI Mission: Who Gets the Subsidised AI Computing Power, and Why It Matters
A recent analysis looked at all 304 approvals for subsidised computing power listed on the IndiaAI Compute Portal (as updated on 8 October 2026). The government has committed about ₹1,275 crore so far to pay part of these computing bills.
About ₹1,058 crore (roughly 83%) of this went to nine organisations building "foundation models", that is, large home-grown AI models. Most of their bills were paid almost in full.
Researchers, students and fellows together received only about ₹10.14 crore (0.8%). Government bodies got about 12.5%.
The mission does not own its own chips. Private cloud companies, chosen through a tender (called "empanelled" providers), buy the GPUs. When an approved user rents them, the mission pays part of the bill. Most users get 40% of the bill paid.
Researchers and students were, on average, approved about a month after their projects were due to start, while foundation-model grants were usually approved before work began. Some small start-ups said the paperwork and eligibility rules were hard to meet.
The findings raise a policy question: should a public AI fund focus on a few big national models, or spread computing power widely to universities and small start-ups?
IndiaAI Mission: India's National AI Programme
The IndiaAI Mission is the Government of India's main programme to build a complete AI system inside the country: computing power, data, home-grown AI models, skilled people, start-ups and safety tools. The Union Cabinet approved it on 7 March 2024 with a budget of ₹10,371.92 crore for five years. It is run by the IndiaAI Independent Business Division (IBD) under the Digital India Corporation, which works under the Ministry of Electronics and Information Technology (MeitY). Its biggest single part is cheap, shared computing power for Indian users.
The analysis shows how the compute pillar, the mission's largest pillar, is being used in practice. Most of the money so far has gone to a small group of national model builders, while the share reaching researchers and students is very small.
Graphics Processing Unit (GPU): The Engine of AI Computing
A Graphics Processing Unit, or GPU, is a computer chip that can do thousands of small calculations at the same time. It was first built to draw images and video games on a screen quickly. Today it is the main chip used to build and run artificial intelligence (AI) systems like chatbots. Whoever has more GPUs can build bigger and better AI, so GPUs have become a matter of national strategy, not just technology.
The IndiaAI Mission's biggest cost is renting GPUs for Indian users. Because GPUs are scarce and costly, the question of who gets the subsidised GPU hours (big model builders or researchers and start-ups) decides who can actually build AI in India.
- IndiaAI Compute Portal approvals analysed: 304 (as of 8 October 2026)
- Total compute subsidy committed so far: about ₹1,275 crore
- Nine foundation-model builders: about ₹1,058 crore (about 83%)
- Researchers, students and fellows: about ₹10.14 crore (0.8%)
- Government bodies: about 12.5% of the subsidy
- Usual subsidy: 40% of the rental bill; foundation-model builders got nearly their full bills paid
- IndiaAI Mission: approved 7 March 2024; outlay ₹10,371.92 crore; compute pillar ₹4,563.36 crore
- Implementing body: IndiaAI Independent Business Division, Digital India Corporation, under MeitY