Top 10 Fastest Indian Supercomputers: Speed & Power Ranked

India has rapidly built a powerful supercomputing ecosystem that supports cutting‑edge research in weather, AI, healthcare, space, and more. In this blog, we rank the top Indian supercomputers by performance and highlight how they are transforming science, industry, and governance. Fastest Indian supercomputer.

1. PARAM Siddhi‑AI – India’s AI Powerhouse

PARAM Siddhi‑AI is widely regarded as India’s fastest general‑purpose AI supercomputer, designed and commissioned by C‑DAC under the National Supercomputing Mission. It delivers around 5.267 petaflops Rpeak (double precision) and 4.6 petaflops Rmax, with AI performance reaching about 210 petaflops using NVIDIA DGX A100 systems and Mellanox HDR InfiniBand networking.

This system accelerates applications in areas like weather modelling, oil and gas exploration, computational fluid dynamics, and large‑scale AI workloads. Its architecture and mature AI software stack make it a reference point whenever people search for the fastest indian supercomputer in recent years.

2. AIRAWAT – National AI Supercomputing Platform

AIRAWAT is India’s dedicated AI supercomputer platform, installed at C‑DAC Pune and funded by MeitY to boost national AI research and innovation. The proof‑of‑concept system offers a mixed‑precision AI peak of about 200 petaflops, with a roadmap to scale up to nearly 790–1000 petaflops to handle massive AI and data workloads.

In double precision (Rpeak), AIRAWAT provides around 13 petaflops, which already places it among the world’s top AI‑oriented systems and in the global TOP100 supercomputers at rank 75 in 2023. It is used for NLP, computer vision, video analytics, and supports startups and research labs working on real‑world AI solutions.

3. Pratyush – Weather and Climate Specialist

Pratyush is one of India’s leading supercomputers for weather and climate modelling, hosted at the Indian Institute of Tropical Meteorology (IITM), Pune. It offers performance in the multi‑petaflop range (around 6–7 petaflops combined with its sister system Mihir) to drive high‑resolution simulations of monsoons, cyclones, and climate variability.

This capability allows scientists to generate more accurate medium‑range forecasts, improve disaster preparedness, and support agricultural planning that depends heavily on monsoon behaviour. For many users searching for “Top 5 supercomputer in India,” Pratyush consistently features near the top because of its direct societal impact.

4. Mihir – Partner in Monsoon Prediction

Mihir is installed at the National Centre for Medium Range Weather Forecasting (NCMRWF), Noida, and complements Pratyush to create a strong forecasting backbone. Together, these systems reach approximately 6.8 petaflops of peak performance, enabling ensemble forecasts and detailed analysis of severe weather events.

Mihir helps produce more reliable rainfall, temperature, and cyclone track predictions, which are vital for disaster management agencies and farmers across India. This tight integration between Pratyush and Mihir is a key reason India has significantly improved its weather and climate services over the last decade.

5. PARAM Yuva‑II – Early Petascale Milestone

PARAM Yuva‑II, developed by C‑DAC, marked one of India’s early entries into the petascale supercomputing era. It achieved performance in the hundreds of teraflops to low‑petaflop range and was used across domains such as computational chemistry, bioinformatics, and engineering simulations.​

Although newer systems now surpass it in raw speed, PARAM Yuva‑II played a crucial role in training Indian researchers to adopt high‑performance computing for complex scientific problems. It also laid the foundation for later PARAM systems that now appear in global rankings like the TOP500.

6. PARAM Shivay – First NSM System at IIT BHU

PARAM Shivay is one of the first supercomputers built under the National Supercomputing Mission and installed at IIT (BHU), Varanasi. It delivers performance in the multi‑teraflop to sub‑petaflop range and is based on an indigenously designed high‑performance computing ecosystem.

This system primarily supports academic and research workloads in engineering, physics, data science, and AI at IIT BHU and partner institutions. PARAM Shivay also showcases the NSM strategy of distributing supercomputing power across universities rather than concentrating it in a few mega‑centres.

7. PARAM Shakti – Enabling Research at IIT Kharagpur

PARAM Shakti is deployed at IIT Kharagpur and is another key NSM system that offers advanced computational resources to students and faculty. Its performance sits in the high‑teraflop to petascale class, enabling simulations in areas such as structural mechanics, materials science, and AI‑driven analytics.

By integrating with the National Knowledge Network, PARAM Shakti can be accessed remotely by collaborators across India, helping democratize access to HPC. This aligns with the broader NSM goal of making supercomputing an everyday tool for Indian researchers rather than a niche resource.

8. PARAM Brahma – Powering Pune’s Research Ecosystem

PARAM Brahma is set up at IISER Pune to support computational science, chemistry, physics, and biology research. It offers high‑throughput computing with performance in the multi‑teraflop segment, making it ideal for simulations, molecular modelling, and data‑intensive analysis.

This system is important because it brings supercomputing closer to fundamental science institutes, where researchers often need large compute resources but may not have direct access to national centres. PARAM Brahma also integrates with the NSM grid, expanding the national pool of compute capacity.

9. PARAM Pravega – IISc Bengaluru’s Flagship System

PARAM Pravega at IISc Bengaluru is one of the more recent and powerful additions to the NSM family, built in collaboration with C‑DAC. It delivers petascale performance for workloads in aerospace, physics, climate science, AI, and large‑scale data analytics.

By combining CPU and accelerator‑based nodes, PARAM Pravega supports both traditional HPC codes and emerging AI/ML applications on the same platform. This flexibility makes it a central pillar of IISc’s computational research ecosystem and an important entry in any “list of supercomputer in India.”

10. Other NSM Systems – Growing National Grid

Beyond these flagships, India has deployed many other NSM systems across IITs, NITs, and universities, steadily increasing the total supercomputing capacity in the country. Collectively, these machines contribute several petaflops of performance and form a federated grid connected through the National Knowledge Network.

This expanding network ensures that even institutions outside major metros can access high‑end computing, supporting research, teaching, and industry collaboration. As newer systems come online and existing ones are upgraded, India continues to climb in global rankings that track the total supercomputer capacity by country.

India’s Place in Global Supercomputing

On the global TOP500 list, systems like PARAM Siddhi‑AI and AIRAWAT have helped India feature among nations with world‑class supercomputers. While the fastest supercomputer in world still resides in leading HPC nations like the United States or Japan, India’s consistent rise shows a clear long‑term commitment to indigenous high‑performance and AI infrastructure.

With the National Supercomputing Mission driving deployments and upgrades, India is closing the gap with global leaders, both in raw compute capacity and in the quality of applications running on these machines. This momentum suggests that upcoming systems will further push India up in worldwide rankings and expand opportunities in data science, AI, and scientific discovery