A new 30-petaflop supercomputer is set to be launched in Bengaluru soon, reflecting India’s push to build local capacity and reduce technology dependence, a senior official at the Ministry of Electronics and Information Technology (MeitY) said on Tuesday.

India’s National Supercomputing Mission (NSM) has so far established more than 37 supercomputers with a total capacity of 40 petaflops across premier Indian institutions, said S Krishnan, secretary at the ministry. He was inaugurating the curtain-raiser event in Bengaluru for Supercomputing India 2025, the country’s first dedicated conference on supercomputing and high-performance computing.

The event was hosted by the Centre for Development of Advanced Computing (CDAC), Bangalore in partnership with the IEEE Computer Society.

“Over 10,000 researchers across the country have used NSM facilities, generating more than 1,250 research papers and spurring innovation across academia and industry,” Krishnan said.

It signals India’s emergence as a serious global player in HPC, semiconductor design and quantum technologies, he said.

He pointed to CDAC’s progress in indigenising supercomputer build-outs, including server manufacturing (with products like Rudra servers) and domestic semiconductor design.

Indian companies, supported by MeitY’s Design Limited Incentive scheme under the India Semiconductor Mission, are increasingly designing and exporting chips with major industry partners such as Intel, AMD and ARM, he said.

Krishnan also pointed to CDAC’s role in driving quantum computing research, software and post-quantum cryptography, linking these advances to the country’s broader National Quantum Mission. The convergence of indigenous chip development—in architectures like RISC-V—and quantum research demonstrates India’s aim to become self-reliant and innovative across the tech spectrum, he said.

India’s AI infrastructure got a boost this year with a strategic pivot from viability gap funding to a voucher-based system, incentivising private sector investments in GPU compute capacity, Krishnan said. The result is the rapid establishment of 38,000 GPU units, positioning India as a model for scalable, cost-effective AI infrastructure, now being advocated by global institutions such as the World Bank, he added.