Exploring the Potential of PARAM Rudra Supercomputers in National Supercomputing Mission

Thursday, 26 September 2024, 07:02

PARAM Rudra supercomputers have been launched to bolster scientific research and weather forecasting capabilities in India. PM Modi emphasized that technology upgradation is key to empowerment for the underprivileged. These developments are part of India's National Supercomputing Mission aimed at enhancing high-performance computing for various sectors.
Indiatimes
Exploring the Potential of PARAM Rudra Supercomputers in National Supercomputing Mission

New Era for Scientific Research with PARAM Rudra

PARAM Rudra supercomputers represent a significant leap in India's technological capabilities. Prime Minister Narendra Modi recently launched three supercomputers, emphasizing the importance of technology upgrades for empowering the poor and unlocking national potential.

National Supercomputing Mission and Its Goals

  • Launched under the National Supercomputing Mission.
  • Costing an estimated Rs 130 crore, the supercomputers will enhance scientific research across various fields.
  • Deployment locations include Pune, Delhi, and Kolkata.

This initiative not only supports weather research but also enhances scientific research capabilities through advanced computational technologies.

High-Performance Computing: A Game Changer

Additionally, the introduction of a High-Performance Computing system worth Rs 850 crore aims to revolutionize weather and climate research. The system will be operational at the Indian Institute of Tropical Meteorology and will significantly improve the accuracy of weather predictions.

  1. Future applications include:
  2. Enhancing research in meteorology.
  3. Driving advancements in quantum computing technology.

As PM Modi noted, the era of supercomputing positions India strategically in the global tech landscape.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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