Explore India’s progress from PARAM 8000 to the National Supercomputing Mission, strengthening indigenous computing capabilities. Understand how supercomputing supports scientific research, weather forecasting, healthcare and disaster management.
Syllabus areas:
GS Paper II – Governance and Social Development
GS Paper III – Science and Technology
India’s supercomputing development began with PARAM 8000 in the early 1990s. The National Supercomputing Mission (NSM), launched in 2015, has expanded access to high-performance computing (HPC).
As of September 2026, NSM had 40 supercomputers delivering 68 petaflops (PF) of computing capacity. The Mission has developed indigenous servers, software, cooling and networking technologies.
Major applications:
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Computational biology
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Weather prediction and climate modelling
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Disaster management
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Big data analytics
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Astrophysics
Building India’s Supercomputing Capabilities
Supercomputers are high-performance computing systems that combine large numbers of processors to perform complex calculations simultaneously. They enable the analysis of massive datasets and sophisticated simulations, supporting scientific research and strategic applications.
Major applications include:
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Predicting crop yields and tracking disease outbreaks.
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Accelerating drug discovery.
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Predicting areas affected by river floods.
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Climate modelling, space research, healthcare and engineering.
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Artificial Intelligence and weather forecasting.
India generates nearly 20% of the world’s data, increasing demand for advanced computing infrastructure. The Government is expanding access to supercomputing across research institutions to strengthen indigenous capabilities, accelerate scientific discovery and support Aatmanirbhar Bharat.
National Supercomputing Mission: Strategy and Implementation
The National Supercomputing Mission (NSM) was launched in April 2015, with an outlay of approximately ₹4,500 crore, to strengthen India’s computing capabilities.
Governance and implementation:
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Jointly steered by: Department of Science and Technology (DST) and Ministry of Electronics and Information Technology (MeitY).
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Implemented by: Centre for Development of Advanced Computing (C-DAC), Pune, and Indian Institute of Science (IISc), Bengaluru.
Key objectives:
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Achieve self-reliance in supercomputing and strengthen high-performance computing capabilities.
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Support research, development and problem-solving across scientific and technological domains.
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Develop solutions for societal applications.
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Establish a globally competitive supercomputing ecosystem.
Indigenous infrastructure strategy:
NSM follows a “Build approach” comprising three concurrent phases:
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Assembly.
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Manufacturing.
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Design and manufacturing support.
This approach combines expansion of computing infrastructure with the development of indigenous capabilities.
Supercomputers: Working and Performance
Supercomputers use multiple processors or computing nodes working simultaneously to process large datasets and solve complex problems. High-speed connections enable efficient data exchange between nodes.
Parallel processing involves multiple processors working simultaneously on different parts of a computational task.
Measuring Computing Performance
Supercomputer performance is measured in FLOPS—Floating Point Operations Per Second.
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Unit |
Floating-point operations per second |
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Teraflops (TF) |
One trillion (10¹²) |
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Petaflops (PF) |
One quadrillion (10¹⁵) |
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Exaflops (EF) |
One quintillion (10¹⁸) |
The world’s fastest supercomputer achieves approximately 2.19 exaflops in 2026, equivalent to 2.19 quintillion floating-point operations per second.
National Supercomputing Mission: Current Status and Targets
NSM has developed an indigenous ecosystem covering supercomputer design, development, manufacturing, system software and specialised applications. This strengthens India’s high-performance computing capabilities and can reduce dependence on imported technologies.
The Mission plans to establish 50 supercomputers, with a cumulative computing capacity exceeding 123 petaflops (PF), across academic and research institutions. These systems cater to diverse computational requirements through different processing capacities.
Evolution of the PARAM Series
PARAM 8000, developed by C-DAC and unveiled in 1991, marked India’s entry into indigenous supercomputing with a speed of 1 gigaflop.
The PARAM series evolved into more powerful systems, including PARAM Yuva at 54 teraflops, supporting computationally intensive applications such as:
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Weather forecasting: Prediction of atmospheric conditions.
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Computational fluid dynamics: Study of fluid flow.
The series expanded India’s supercomputing capabilities for domestic research and international deployments.
Expanding Supercomputing Capacity
As of September 2026, India had deployed 40 locally built supercomputers with a combined capacity of 68 petaflops (PF).
|
Category |
Number of systems |
Computing capacity per system |
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High-end |
13 |
Above 1 PF |
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Mid-range |
12 |
Between 500 TF and 1 PF |
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Below 500 TF |
15 |
Below 500 TF |
The Mission supports infrastructure, applications, research and development, and human resource development.
Supercomputing for Sustainable Development
The National Supercomputing Mission (NSM) contributes to 11 United Nations Sustainable Development Goals (SDGs) through applications supporting:
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Climate action: Flood prediction, forest-fire management and climate modelling.
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Education and skill development: High-performance computing (HPC) training.
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Innovation and economic growth: Development of indigenous technologies.
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Collaboration: Partnerships among academia, industry and research institutions.
National Applications of Supercomputing under NSM
Supercomputers under NSM support large-scale simulations and rapid data processing across the following sectors:
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Application |
Purpose and use |
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Genomics and Drug Discovery Platform |
Screens large sets of molecules for drug discovery and testing. Used during COVID-19 to screen existing drugs and predict potential side effects, including heart risks. |
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Urban Environment Decision Support System |
Models weather and air pollution to predict heavy rainfall and pollution, supporting urban preparedness and mitigation. |
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Seismic Imaging Suite |
Uses advanced algorithms to map subsurface structures for oil and gas exploration, with performance comparable to commercial seismic imaging tools. |
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Early Warning System for River-Basin Floods |
Forecasts floods up to two days in advance using data analysis and predictive models. Applied in the Mahanadi River basin to protect communities and infrastructure. |
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Forest Fire Spread Model |
Combines satellite remote sensing and computational models to predict forest-fire spread. Tested in the Sikkim Himalayas using HPC. |
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Materials Science and Computational Chemistry |
Simulates atoms, molecules and alloys to study their behaviour. |
These applications support scientific research and evidence-based decision-making across health, environment, energy and advanced science.
Indigenous Components Developed under NSM
The National Supercomputing Mission (NSM) supports self-reliance through indigenous design, development and manufacturing of critical supercomputing components.
|
Component |
Key features |
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Rudra Series of Servers |
Designed and developed by C-DAC for complex calculations, simulations and AI workloads. Technology transferred to Indian Electronics Manufacturing Services (EMS) partners for manufacturing. |
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High-Speed Interconnect Network |
Developed and tested at 100 Gbps and 200 Gbps to enable rapid data transfer and communication between computing nodes. |
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Indigenous Cooling Technology |
Developed and demonstrated; currently at the deployment stage. Maintains operating temperatures and improves power efficiency. |
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HPC System Software |
A complete indigenous software stack developed and integrated with supercomputers for efficient operation and management. |
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PARAM Shavak |
An indigenously designed, developed and manufactured “supercomputing-in-a-box” system addressing HPC and AI needs of students and researchers in engineering colleges and universities. |
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HPC Applications for National Needs |
Applications developed and deployed in areas including genomics and drug discovery, supporting IMD, CWC, CPCB and the Ministry of AYUSH. |
PARAM Rudra: Indigenous Supercomputing
Developed under NSM, PARAM Rudra supercomputers use indigenously designed and manufactured Rudra servers and an indigenous system software stack.
They support advanced research in astronomy, materials science, atomic physics and earth sciences.
As of September 2026, 6,000 Rudra servers had been deployed in PARAM Rudra supercomputers, with another 1,500 servers under manufacturing.
Skilled Workforce Development under NSM
As of September 2026, NSM infrastructure had supported:
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Over 16,000 researchers, including more than 2,900 PhD scholars, across over 400 institutions.
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More than 1.5 crore compute jobs—tasks or simulations assigned to supercomputers.
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Over 1,990 research publications.
Major Training and Learning Initiatives
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Initiative |
Purpose |
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HPC and Deep Learning Awareness Programmes |
Workshops introducing students, researchers and faculty to high-performance computing and deep learning. |
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Hackathons and Bootcamps |
Hands-on training and problem-solving in HPC, Artificial Intelligence and Generative AI. |
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Faculty Development and Quality Improvement Programmes |
Training faculty, including those from non-computer science disciplines, in HPC, AI, machine learning and deep learning, in collaboration with AICTE. |
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EduHPC Workshop |
Annual comprehensive HPC training for faculty across India. |
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High-Performance Scientific Computing Course |
An NPTEL course on the SWAYAM platform providing foundational HPC knowledge. |
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HPC Shiksha Portal |
Access to HPC resources, recorded lectures and learning materials for practical learning. |
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NSM Users Forum |
Platform for resolving technical queries and sharing knowledge and best practices across NSM sites. |
These initiatives expand HPC skills beyond specialised computing institutions and develop a broader workforce capable of using advanced computing.
National Knowledge Network (NKN)
The NKN provides a high-speed national network connecting supercomputing facilities across academic and research institutions under NSM.
It enables:
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Access to high-performance computing resources.
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Research collaboration across geographical boundaries.
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Sharing of computational resources, research capabilities and scientific knowledge.
