Outlining the goals of the National Supercomputing Mission and going over its current accomplishments. (Answer in 150 words)
Model Answer Environmental Sustainability Challenges in the Race for Intelligent Machines The competition to develop increasingly intelligent machines is contributing to a growing set of environmental sustainability challenges. While AI is transforming various sectors, its rapid development and adopRead more
Model Answer
Environmental Sustainability Challenges in the Race for Intelligent Machines
The competition to develop increasingly intelligent machines is contributing to a growing set of environmental sustainability challenges. While AI is transforming various sectors, its rapid development and adoption come with significant ecological costs.
Energy Consumption
One of the primary environmental concerns is the massive energy consumption required for training and operating large AI models. For instance, the development of ChatGPT-3 alone is estimated to have used 1.3 gigawatt-hours of energy and generated 552 tons of carbon emissions. This highlights the significant electricity demand for data storage, CPU operations, and the cooling mechanisms needed for AI infrastructure.
Electronic Waste
Another pressing issue is the increase in electronic waste due to AI’s reliance on high-performance hardware. AI systems depend on powerful components like servers, GPUs, and other specialized devices. As the technology advances rapidly, there is a constant need for hardware upgrades, which leads to discarded components. Electronic waste is already the fastest-growing waste stream, with 50-60 million tons produced annually worldwide.
Water Usage
AI technologies also contribute to substantial water consumption. Data centers, where AI computations take place, require cooling towers that use large amounts of water. It is projected that by 2027, AI-related water usage could reach 4.2 to 6.6 billion cubic meters. This water demand adds to the already strained global water resources.
Impact on Natural Ecosystems
The deployment of AI in applications such as driverless vehicles and drones also poses a threat to natural ecosystems. Studies show that drones flying over wildlife can cause behavioral disturbances to animals.
In conclusion, while AI has immense potential to address climate issues, its environmental costs cannot be overlooked. The AI industry must prioritize sustainable practices to mitigate these negative impacts.
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The National Supercomputing Mission (NSM) was launched in 2015, jointly by the Ministry of Electronics and Information Technology (MeitY) and the Department of Science and Technology and implemented by the Centre for Development of Advanced Computing (C-DAC), Pune, and the Indian Institute of SciencRead more
The National Supercomputing Mission (NSM) was launched in 2015, jointly by the Ministry of Electronics and Information Technology (MeitY) and the Department of Science and Technology and implemented by the Centre for Development of Advanced Computing (C-DAC), Pune, and the Indian Institute of Science (IISc), Bengaluru. The Mission envisages empowering our national academic and R&D institutions spread over the country by installing a vast supercomputing grid comprising more than 70 high-performance computing facilities. These supercomputers will also be networked on the National Supercomputing grid over the National Knowledge Network (NKN).
The objectives of the Mission are as follows:
The following are the various achievements of the Mission:
Implementation of the Mission has helped bring supercomputing within the reach of the large scientific and technology community in the country and enabled the country with a capacity to solve multi-disciplinary grand challenge problems.
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