Supercomputing & HPC

Story hook

In the late 1980s, India asked the United States to sell it a Cray supercomputer to model the monsoon — the single most important variable in the lives of a billion people. Washington refused, fearing the machine could be diverted to nuclear or missile work. It was a humiliation and a challenge. So India built its own. In 1991, the Centre for Development of Advanced Computing (C-DAC) unveiled the PARAM 8000 — "PARAM" meaning supreme in Sanskrit — a home-grown parallel supercomputer that astonished the world and was even offered for export. A denial had birthed an industry.

Three decades later, supercomputing has become the invisible engine of modern power. Forecasting a cyclone's landfall, designing a new drug molecule, simulating a nuclear reaction, training a large AI model, decoding a genome — all need machines that perform quadrillions of calculations per second. Recognising this, India launched the National Supercomputing Mission (NSM) in 2015 to build a national grid of supercomputers, and by 2024 was rolling out the indigenous PARAM Rudra systems and the AI-focused AIRAWAT.

Supercomputing is now a measure of national capability — the difference between predicting a disaster and being blindsided by it, between leading the AI revolution and renting compute from others. India's journey from a denied Cray to home-built petascale machines is one of its great self-reliance stories.

Why this matters for UPSC

A rising GS-III topic (indigenisation, frontier tech) and a strong Make in India example. Prelims tests the National Supercomputing Mission, C-DAC, the PARAM series, AIRAWAT and the weather supercomputers (Pratyush/Mihir). Mains and interviews use it for technological self-reliance, the AI-compute race, and applications (weather, drug discovery, defence). It pairs naturally with AI, semiconductors and quantum.