India’s AI infrastructure challenge: Moving from GPU availability to enterprise readiness
By Abhisyant Anasapurapu
Imagine a bank demonstrating a multilingual AI assistant for loan applications. In the demo, it answers a customer’s question in seconds. In production, it must verify identity, retrieve permitted records, interpret the bank’s current policy, connect to core systems, record what it did and hand uncertain cases to a person. It must work during a surge in demand, at a cost the bank can justify.
The GPU that powers the assistant matters. So does every decision around it. India’s AI infrastructure challenge is shifting from securing compute to making compute ready for enterprise work.
The country has made progress on access. The IndiaAI Mission reported more than 45,000 GPUs in its shared compute capacity by June 2026. Subsidised access is lowering the cost of experimentation for researchers, startups and innovators. This is a substantial foundation. But a count of available GPUs tells an enterprise where it might...
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