National Supercomputing Mission: PARAM, AIRAWAT and HPC in India (UPSC Science & Tech)
UPSC guide on India's National Supercomputing Mission covering PARAM Siddhi-AI, AIRAWAT, exascale roadmap, applications, and 2024-26 updates.
Supercomputers — machines capable of hundreds of trillions of calculations per second — are the backbone of climate modelling, drug discovery, defence simulation and, increasingly, generative AI training. India's National Supercomputing Mission (NSM) is the organising framework that has moved the country from import dependence towards indigenous high-performance computing (HPC) capability. For UPSC GS Paper III, NSM intersects with science, economic infrastructure and national security.
What Is the National Supercomputing Mission?
Launched in 2015 with an outlay of Rs 4,500 crore, NSM is jointly steered by the Department of Science and Technology (DST) and the Ministry of Electronics and Information Technology (MeitY), and implemented by the Centre for Development of Advanced Computing (C-DAC), Pune and the Indian Institute of Science (IISc), Bengaluru. Its goal is to empower research institutions, academia, MSMEs and start-ups with supercomputing infrastructure while building indigenous design and manufacturing capability.
Objectives
- Make India a leader in supercomputing and address grand-challenge problems of national and global relevance.
- Empower scientists and researchers with state-of-the-art facilities.
- Minimise redundancies and optimise investments in HPC.
- Attain self-reliance in the strategic area of supercomputing technology.
- Establish a network of supercomputers ranging from a few teraflops to hundreds of teraflops, plus three systems with greater than or equal to 3 petaflops in academic and research institutions, culminating in a 45-petaflop network and exascale-class capability.
Science Behind Supercomputing
A supercomputer stitches together tens of thousands of CPU and GPU cores with ultra-low-latency interconnects (InfiniBand, NVLink), parallel file systems and advanced cooling. Performance is measured in floating-point operations per second — from teraflops (10^12) and petaflops (10^15) to exaflops (10^18). Modern systems are increasingly heterogeneous (CPUs plus GPUs plus accelerators) and tightly integrated with AI stacks.
Key Systems in India
India now operates more than 30 supercomputers, several of which feature on the global TOP500 list. Marquee systems include:
- AIRAWAT — India's largest and fastest AI supercomputing system, installed at C-DAC Pune under the National Program on AI. Around 13,170 teraflops peak.
- PARAM Siddhi-AI — at C-DAC Pune, for AI, health and weather research.
- Pratyush at the Indian Institute of Tropical Meteorology, Pune.
- Mihir at the National Centre for Medium Range Weather Forecasting, Noida.
- PARAM Rudra systems — three indigenous 1-petaflop systems installed in 2024 at Pune, Delhi and Kolkata, unveiled by the Prime Minister.
- Other PARAM-series systems at IIT Kharagpur, IIT Kanpur, IIT Madras, IIT Hyderabad, IIT BHU, IISc, IIT Guwahati, JNCASR and NABI Mohali.
Applications of Supercomputers
- Climate and weather — monsoon prediction, cyclone tracking, long-range climate modelling.
- Drug discovery and computational biology — protein folding, molecular docking (AIRAWAT was instrumental during COVID-19).
- Aerospace engineering — aircraft and rocket design, turbulence modelling.
- Atomic energy simulations — reactor safety, plasma dynamics.
- Defence — missile design, stealth analysis, radar simulations.
- Seismic analysis and disaster simulations — earthquake, flood, tsunami modelling.
- Computational chemistry and materials science — nano-materials, battery chemistry.
- Astrophysics — galaxy formation, black hole simulations.
- Big data analytics, finance and government information systems.
Phases of NSM
- Phase I (2015 onwards) — assembly in India, deployment at IIT Kharagpur, IISc Bengaluru and IIT Kanpur.
- Phase II — substantial domestic manufacturing of components.
- Phase III — indigenous design and production of processors and interconnects (the AUM HPC processor and Trinetra interconnect by C-DAC).
India's Position Globally
The United States and China dominate supercomputing, followed by Japan, Germany and France. India has climbed into the TOP500 consistently and has crossed 10 petaflops at AIRAWAT. The country still lags in indigenous processor foundries and interconnect IP, though this is beginning to shift with the India Semiconductor Mission and NSM Phase III.
Ethical and Policy Concerns
- Dual-use risk — simulations applicable to weapons design and strategic computing.
- Energy consumption — large HPC systems consume megawatts of power and water for cooling, raising sustainability concerns.
- Access equity — ensuring MSMEs, state universities and start-ups get meaningful compute time, not just elite IITs.
- Export controls on advanced chips (especially US-origin GPU restrictions on certain countries) make indigenous AUM-class processors strategically important.
Latest Developments (2024-26)
- AI Action Summit, Paris (February 2025) — India pledged to anchor its sovereign AI compute on NSM infrastructure and the IndiaAI Mission's 10,000+ GPU cluster.
- India Semiconductor Mission — Tata-PSMC fab in Dholera and Micron ATMP in Sanand strengthen the hardware base supporting indigenous HPC.
- Chandrayaan-4 and Gaganyaan — trajectory planning, thermal and structural simulations leverage NSM assets at ISRO, IIT Madras and IISc.
- National Quantum Mission — complementary to NSM; hybrid classical-quantum computing architectures are an emerging research thrust.
- DPDP Act implementation — citizen data processed on supercomputers (genomics, health, disaster response) must now comply with stricter data-fiduciary obligations.
- IndiaAI Mission (2024) with Rs 10,371 crore outlay is deeply interlinked with NSM and establishes India's sovereign AI compute roadmap.
- PARAM Rudra deployment (September 2024) and Arka and Arunika supercomputers (2024) for climate and weather research.
UPSC Relevance
For Prelims, remember NSM’s launch year (2015), agencies (DST, MeitY, C-DAC, IISc), key systems (AIRAWAT, Pratyush, Mihir, PARAM Siddhi-AI, PARAM Rudra), and the indigenous AUM processor. For GS III Mains, supercomputing links to science and technology, climate change preparedness, defence indigenisation and AI policy. Essay questions on India’s innovation ecosystem often benefit from examples drawn from NSM’s journey. The mission illustrates how patient, long-cycle investments in strategic capability pay dividends across sectors.