Context of the News
India’s supercomputing ecosystem is expanding rapidly under the National Supercomputing Mission (NSM).
As of September 2026, India had deployed 40 supercomputers with a combined computing capacity of 68 PetaFLOPS (PF). The Mission is also developing indigenous servers, system software, high-speed interconnects and cooling technologies.
This marks a shift from merely using supercomputers to developing an increasingly indigenous High-Performance Computing (HPC) ecosystem.
Background
India’s indigenous supercomputing journey began with PARAM 8000, developed by the Centre for Development of Advanced Computing (C-DAC) and unveiled in 1991.
PARAM 8000 had a computing speed of about 1 GigafLOP and laid the foundation for the PARAM series. Later systems such as PARAM Yuva expanded India’s capabilities for computationally intensive applications.
The National Supercomputing Mission was launched in April 2015 to take this journey further by building domestic capabilities in supercomputing hardware, software, applications and human resources.
What is a Supercomputer?
Definition: A supercomputer is a high-performance computing system that uses a large number of processors or computing nodes working in parallel to solve extremely complex problems rapidly.
Unlike an ordinary computer, a supercomputer can divide a large computational task into smaller tasks and process them simultaneously.
Key terms
| Term | Meaning |
|---|---|
| FLOPS | Floating Point Operations Per Second; a measure of computing performance. |
| TeraFLOPS (TF) | 1 trillion floating-point operations per second. |
| PetaFLOPS (PF) | 1 quadrillion floating-point operations per second. |
| ExaFLOPS (EF) | 1 quintillion floating-point operations per second. |
| HPC | High-Performance Computing, involving very powerful computing systems used for complex scientific and technical problems. |
| Interconnect | A high-speed network connecting different computing nodes. |
What is Exascale Computing?
Exascale computing refers to computing performance of at least 1 ExaFLOPS, or 10¹⁸ floating-point operations per second.
The June 2026 TOP500 ranking placed China’s LineShine at No. 1, with 2.198 ExaFLOPS on the High-Performance Linpack benchmark. It became the first system to exceed 2 ExaFLOPS on this benchmark.
Why are Supercomputers Important?
Supercomputers are important because many modern scientific problems involve enormous datasets and complex calculations.
They can support:
- Climate modelling by simulating atmospheric and oceanic processes.
- Weather forecasting by processing large volumes of meteorological data.
- Drug discovery by analysing molecular structures and interactions.
- Genomics by processing large biological datasets.
- Agriculture by improving crop-yield prediction.
- Disaster management by forecasting floods and forest fires.
- Space research through complex simulations and data analysis.
- Engineering through computational fluid dynamics and materials modelling.
Thus, supercomputing is not only about faster computers. It is an important infrastructure for scientific research, national security, economic competitiveness and public policy.
National Supercomputing Mission
Definition: The National Supercomputing Mission (NSM) is a Government of India initiative aimed at building indigenous supercomputing capabilities and providing advanced computing infrastructure to researchers and institutions.
Key features of NSM
| Feature | Details |
|---|---|
| Launched | April 2015 |
| Outlay | About ₹4,500 crore |
| Jointly steered by | Department of Science and Technology (DST) and Ministry of Electronics and Information Technology (MeitY) |
| Implementation | C-DAC, Pune and Indian Institute of Science (IISc), Bengaluru |
| Main objective | Self-reliance in supercomputing and HPC |
| Approach | Infrastructure + applications + R&D + human-resource development |
The Mission was designed not simply to procure machines but to develop capabilities across the supercomputing value chain.
What is the NSM “Build Approach”?
The Build Approach aims to progressively increase indigenous participation in supercomputer development.
It consists of three broad phases:
- Assembly
- Initial systems are assembled using available technologies.
- Manufacturing
- Increasingly important components are manufactured within India.
- Design and Manufacturing Support
- India develops greater capability to design and manufacture critical subsystems.
This approach is intended to reduce dependence on imported technologies and create an Indian HPC industry.
Current Status of India’s Supercomputing Ecosystem
As of September 2026, NSM had deployed:
- 40 supercomputers.
- 68 PF of combined computing capacity.
- 13 high-end systems with capacity above 1 PF.
- 12 mid-range systems between 500 TF and 1 PF.
- 15 systems below 500 TF.
The Mission plans to establish 50 supercomputers with a cumulative capacity of more than 123 PF across academic and research institutions.
From PARAM 8000 to PARAM Rudra
| Stage | Significance |
|---|---|
| PARAM 8000, 1991 | Beginning of India’s indigenous supercomputing journey. |
| PARAM Yuva | Expanded HPC capabilities for computationally intensive applications. |
| PARAM Rudra | Represents a stronger indigenous hardware and software ecosystem. |
| Future exascale systems | Aim to take India towards the next generation of supercomputing. |
Indigenous Technologies Developed under NSM
A major achievement of NSM is the development of important components within India.
1. Rudra Servers
Rudra is an indigenous server platform designed and developed by C-DAC.
These servers provide the computing power required for HPC workloads and are being manufactured through Indian Electronics Manufacturing Services partners.
C-DAC has also transferred Rudra server technology to industry partners, helping create a domestic manufacturing ecosystem.
2. PARAM Rudra
PARAM Rudra supercomputers use indigenously designed and manufactured Rudra servers along with an indigenous system software stack.
They support research in areas such as:
- Astronomy
- Earth sciences
- Material science
- Atomic physics
C-DAC describes PARAM Rudra as an important step towards self-reliance in supercomputing.
3. High-Speed Interconnect
Supercomputers require extremely fast communication between their computing nodes.
India has developed the indigenous Trinetra high-speed communication network.
- Trinetra-A: 100 Gigabits per second (Gbps).
- Trinetra-B: 200 Gbps.
The technology is designed to reduce communication bottlenecks between computing nodes.
4. Indigenous Cooling Technology
Supercomputers generate enormous amounts of heat.
Therefore, efficient cooling is essential for:
- Maintaining operating temperatures.
- Improving energy efficiency.
- Reducing operational costs.
- Supporting high-density computing.
India is developing indigenous cooling technologies, including Direct-to-Chip Liquid Cooling (DCLC) technologies.
5. HPC System Software
Hardware alone cannot operate a supercomputer efficiently.
NSM has therefore developed an indigenous HPC system software stack for system management and efficient execution of computational workloads.
6. PARAM Shavak
PARAM Shavak is an indigenous “supercomputing-in-a-box” solution developed by C-DAC.
It brings HPC capabilities closer to:
- Students.
- Faculty.
- Researchers.
- Engineering colleges.
- Universities.
Its compact design helps institutions access HPC and Artificial Intelligence (AI) workloads without requiring the infrastructure of a large supercomputing centre.
Applications of Supercomputing under NSM
The importance of NSM becomes clearer through its real-world applications.
1. Genomics and Drug Discovery
HPC systems can process huge molecular datasets and simulate molecular interactions.
This can support:
- Drug discovery.
- Drug screening.
- Genomic research.
- Prediction of possible drug interactions and side effects.
Such capabilities became particularly important during the COVID-19 pandemic.
2. Weather and Urban Environment
Supercomputing can combine:
- Weather data.
- Atmospheric models.
- Air-pollution data.
- High-resolution simulations.
This helps predict heavy rainfall, pollution levels and other urban environmental risks.
3. Flood Prediction
HPC-based models can process rainfall, river-flow and geographical data to forecast flood risks.
The NSM ecosystem supports an Early Warning System for flood prediction, including work related to the Mahanadi River basin.
Such systems can provide valuable time for evacuation and disaster preparedness.
4. Forest Fire Prediction
Forest-fire models combine:
- Satellite remote sensing.
- Weather information.
- Terrain data.
- Computational modelling.
These models can help predict the spread and behaviour of forest fires, including applications in regions such as the Sikkim Himalayas.
5. Seismic Imaging
HPC enables researchers to process large seismic datasets and create detailed images of underground geological structures.
This can support oil and gas exploration and geological research.
6. Materials Science and Computational Chemistry
Researchers can simulate the behaviour of:
- Atoms.
- Molecules.
- Alloys.
- Other materials.
This can accelerate the development of new materials and improve understanding of their physical and chemical properties.
How Does Supercomputing Support Sustainable Development?
Supercomputing can contribute to multiple Sustainable Development Goals (SDGs).
For example:
| Application | Developmental benefit |
|---|---|
| Flood prediction | Disaster-risk reduction |
| Forest-fire modelling | Ecosystem protection |
| Climate modelling | Climate adaptation |
| Drug discovery | Better healthcare research |
| Crop prediction | Agricultural planning |
| HPC training | Skilled workforce |
| Indigenous technology | Technological self-reliance |
The Government has highlighted NSM’s contribution to 11 SDGs through applications in areas such as disaster management, climate modelling, training and indigenous technology development.
Building India’s HPC Workforce
Supercomputing infrastructure is useful only when researchers have the skills to use it.
NSM has therefore focused on Human Resource Development (HRD).
As of September 2026:
- More than 16,000 researchers had been supported.
- More than 2,900 PhD scholars were among them.
- More than 400 institutions had benefited.
- More than 1.5 crore compute jobs had been executed.
- More than 1,990 research publications had been supported.
Major capacity-building initiatives
HPC and Deep Learning Awareness Programmes
These programmes introduce students, researchers and faculty to High-Performance Computing (HPC) and Deep Learning (DL).
Hackathons and Bootcamps
They provide hands-on exposure to:
- HPC.
- Artificial Intelligence (AI).
- Machine Learning (ML).
- Generative AI.
Faculty Development
Faculty members, including those outside computer science, receive training in HPC, AI, ML and DL.
EduHPC and Online Learning
Online and institutional programmes help students and faculty build foundational HPC skills.
HPC Shiksha
The platform provides learning resources, recorded lectures and other educational material.
NSM Users Forum
It allows users of NSM facilities to share technical knowledge, resolve problems and exchange best practices.
Role of National Knowledge Network
The National Knowledge Network (NKN) provides high-speed connectivity linking academic and research institutions.
In the supercomputing ecosystem, such connectivity helps researchers:
- Access computing resources.
- Collaborate across institutions.
- Share computational workloads.
- Exchange scientific data and knowledge.
Therefore, supercomputing is not merely a collection of powerful machines. It also requires a connected research ecosystem.
Why is Indigenous Supercomputing Important?
India’s dependence on imported high-performance computing technologies can create strategic and technological vulnerabilities.
Indigenous development can provide:
1. Technological Sovereignty
Domestic capabilities reduce dependence on external suppliers for critical computing infrastructure.
2. Strategic Capability
Advanced computing is important for areas such as:
- Defence research.
- Space.
- Weather forecasting.
- Climate modelling.
- AI.
- Nuclear and atomic research.
3. Economic Benefits
Domestic design and manufacturing can create opportunities for Indian technology companies, Electronics Manufacturing Services (EMS) firms, startups and research institutions.
4. Research Competitiveness
Affordable access to HPC can help Indian researchers conduct advanced simulations and compete globally.
5. Atmanirbhar Bharat
Supercomputing contributes to the broader objective of building critical technological capabilities within India.
Key Challenges
Despite significant progress, India faces several challenges.
- High cost: Supercomputing infrastructure requires large capital investment.
- Energy consumption: Large HPC systems consume substantial electricity.
- Cooling requirements: Efficient thermal management is essential.
- Advanced semiconductor dependence: Indigenous supercomputing still requires globally competitive processors and accelerators.
- Software ecosystem: Hardware needs specialised software, algorithms and applications.
- Skilled manpower: Advanced HPC requires highly trained researchers and engineers.
- Rapid technological change: Computing technologies evolve rapidly, requiring continuous upgrades.
- Exascale transition: Moving from petascale to exascale computing will require major advances in hardware, networking, cooling and energy efficiency.
Way Forward
India should integrate indigenous processors, accelerators, servers, interconnects, software and energy-efficient cooling to build a globally competitive exascale ecosystem.
Prelims Focus
Important Facts to Remember
- National Supercomputing Mission: Launched in April 2015.
- Outlay: About ₹4,500 crore.
- Nodal bodies: DST and MeitY.
- Implementation: C-DAC, Pune and IISc, Bengaluru.
- PARAM 8000: Unveiled in 1991.
- PARAM 8000 speed: About 1 GigafLOP.
- September 2026: 40 supercomputers and 68 PF under NSM.
- Planned: 50 supercomputers with more than 123 PF.
- Rudra: Indigenous server platform developed by C-DAC.
- Trinetra-A: 100 Gbps.
- Trinetra-B: 200 Gbps.
- PARAM Shavak: Compact “supercomputing-in-a-box” solution.
- HPC: High-Performance Computing.
- FLOPS: Floating Point Operations Per Second.
- 1 PF: 10¹⁵ FLOPS.
- 1 EF: 10¹⁸ FLOPS.
- TOP500, June 2026: LineShine ranked No. 1 with 2.198 ExaFLOPS on HPL.
Prelims Check
Q1. With reference to the National Supercomputing Mission, consider the following statements:
- It was launched in 2015 to strengthen India’s capabilities in High-Performance Computing.
- It is jointly steered by the Department of Science and Technology and the Ministry of Electronics and Information Technology.
- The Mission is implemented through C-DAC and the Indian Institute of Science.
- Its objective is limited to procuring foreign supercomputers for Indian research institutions.
Which of the statements given above are correct?
A. 1, 2 and 3 only
B. 1 and 4 only
C. 2 and 3 only
D. 1, 2, 3 and 4
Q2. Consider the following pairs:
| Technology/System | Associated feature |
|---|---|
| 1. Rudra | Indigenous HPC server platform |
| 2. Trinetra | High-speed interconnect network |
| 3. PARAM Shavak | Compact supercomputing solution |
| 4. PARAM 8000 | First indigenous supercomputer developed under NSM |
How many of the pairs given above are correctly matched?
A. Only one
B. Only two
C. Only three
D. All four
Q3. Consider the following statements regarding computing performance:
Statement I: Exascale computing refers to computing performance of at least one quintillion floating-point operations per second.
Statement II: One ExaFLOPS is equivalent to one million PetaFLOPS.
Which one of the following is correct?
A. Both Statement I and Statement II are correct, and Statement II is the correct explanation of Statement I.
B. Both Statement I and Statement II are correct, but Statement II is not the correct explanation of Statement I.
C. Statement I is correct, but Statement II is incorrect.
D. Statement I is incorrect, but Statement II is correct.
Answers and Explanations
Q1. Answer: A. 1, 2 and 3 only
- Statement 1 is correct: NSM was launched in April 2015 to strengthen India’s supercomputing and HPC capabilities.
- Statement 2 is correct: The Mission is jointly steered by DST and MeitY.
- Statement 3 is correct: It is implemented through C-DAC, Pune and IISc, Bengaluru.
- Statement 4 is incorrect: NSM focuses on indigenous development, not merely procurement of foreign systems.
Q2. Answer: C. Only three
- Rudra — Correct: It is an indigenous server platform developed by C-DAC.
- Trinetra — Correct: It is an indigenous high-speed communication/interconnect network for computing nodes.
- PARAM Shavak — Correct: It is a compact supercomputing solution designed to democratise access to HPC.
- PARAM 8000 — Incorrect: PARAM 8000 predates the NSM, having been unveiled in 1991. It therefore cannot be described as a system developed under the 2015 NSM.
Q3. Answer: C. Statement I is correct, but Statement II is incorrect
- Statement I is correct: Exascale means at least 10¹⁸ FLOPS, or one quintillion floating-point operations per second.
- Statement II is incorrect: 1 ExaFLOPS = 1,000 PetaFLOPS, not one million PetaFLOPS.
- The conversion follows the metric progression: Peta = 10¹⁵ and Exa = 10¹⁸. The difference is therefore a factor of 1,000.
Conclusion
India’s journey from PARAM 8000 to indigenous PARAM Rudra systems shows how strategic investment can transform technological dependence into domestic capability.
“Great nations do not merely consume technology; they build the capacity to create it.”
