Supercomputing

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MeitY Launches Param Shakti Supercomputing Facility at IIT Madras

ai, AI (Artificial Intelligence), AI News, Artificial Intelligence, IIT Madras, MeitY, Supercomputing, supercomputing india

The Ministry of Electronics and IT (MeitY) has launched Param Shakti, an indigenous 3.1 petaflop supercomputing facility at IIT Madras. This is aimed at strengthening India’s research capacity in high-performance computing. The facility was launched in Chennai by the MeitY Secretary, S Krishnan, under the National Supercomputing Mission. Param Shakti hosts the PARAM Rudra supercomputing […]

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UK and Germany plan to commercialise quantum supercomputing

AI Hardware & Chips, Artificial Intelligence, Europe, germany, Governance, Regulation & Policy, government, How It Works, hpc, Inside AI, Politics, Quantum, regulation, Science, Supercomputing, uk

The UK and Germany plan to integrate their science sectors to accelerate the commercialisation of quantum supercomputing technology. Announced on the final day of the German president’s state visit, these joint commitments target the gap between R&D and enterprise application in computing, sensing, and timing. The partnership involves specific funding to fast-track product development and

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DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions

Aeronautical and astronautical engineering, Artificial Intelligence, Computer modeling, Computer science and technology, Department of Energy (DoE), DMSE, Electrical engineering and computer science (EECS), Machine Learning, Mathematics, Mechanical engineering, MIT Schwarzman College of Computing, Research, School of Engineering, School of Science, Security studies and military, Space, Supercomputing

The U.S. Department of Energy’s National Nuclear Security Administration (DOE/NNSA) recently announced that it has selected MIT to establish a new research center dedicated to advancing the predictive simulation of extreme environments, such as those encountered in hypersonic flight and atmospheric re-entry. The center will be part of the fourth phase of NNSA’s Predictive Science Academic Alliance

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Responding to the climate impact of generative AI

Algorithms, Artificial Intelligence, Climate change, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Emissions, Energy, Energy storage, infrastructure, Lincoln Laboratory, Machine Learning, MIT Energy Initiative, MIT Schwarzman College of Computing, MIT Sloan School of Management, Research, School of Engineering, Supercomputing, Sustainable computing

In part 2 of our two-part series on generative artificial intelligence’s environmental impacts, MIT News explores some of the ways experts are working to reduce the technology’s carbon footprint.The energy demands of generative AI are expected to continue increasing dramatically over the next decade.For instance, an April 2025 report from the International Energy Agency predicts that the global

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Lincoln Lab unveils the most powerful AI supercomputer at any US university

Artificial Intelligence, cybersecurity, Department of Defense (DoD), Energy, Haystack Observatory, Human-computer interaction, Lincoln Laboratory, Supercomputing

The new TX-Generative AI Next (TX-GAIN) computing system at the Lincoln Laboratory Supercomputing Center  (LLSC) is the most powerful AI supercomputer at any U.S. university. With its recent ranking from  TOP500, which biannually publishes a list of the top supercomputers in various categories, TX-GAIN joins the ranks of other powerful systems at the LLSC, all supporting

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