AWS’ megacluster of chips for AI startup Anthropic will be among the world’s largest, it said, and its new giant server will lower the cost of AI as it seeks to build an alternative to Nvidia.
Recent studies using advanced supercomputing have focused on the dynamics within copper-based superconductors, aiming to develop materials that are efficient at higher temperatures and could improve electronic devices significantly.
Over the past 35 years, scientists have been studying a remarkable class of materials known as superconductors. When cooled to specific temperatures, these materials allow electricity to flow without any resistance.
A research team utilizing the Summit supercomputer has been delving into the behavior of these superconductors, particularly focusing on how negatively charged particles interact with the smallest units of light within the material. This interaction triggers sudden and dramatic changes in the material’s properties and holds the key to understanding how certain copper-based superconductors function.
The universe just got a whole lot bigger—or at least in the world of computer simulations, that is. In early November, researchers at the Department of Energy’s Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted.
The achievement was made using the Frontier supercomputer at Oak Ridge National Laboratory. The calculations set a new benchmark for cosmological hydrodynamics simulations and provide a new foundation for simulating the physics of atomic matter and dark matter simultaneously. The simulation size corresponds to surveys undertaken by large telescope observatories, a feat that until now has not been possible at this scale.
Frontier uses a network of thousands of nodes, each connected by more than 90 miles of cable, which allows them to collaborate on complex issues.
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate the efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.
Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute a largely unexplored field of research, with the potential for novel applications in bioimaging, biosensing, and nanomedicine. Developing such applications relies critically on understanding the dynamical properties of the nano–bio interface.
Modeling the properties of the nano-bio interface is demanding since the important processes such as electronic charge transfer, chemical reactions or restructuring of the biomolecule surface can take place in a wide range of length and time scales, and the atomistic simulations need to be run in the appropriate aqueous environment.
El Capitan is now the most powerful supercomputer in existence, as proven by TOP500’s list.
Even the biggest investors often make terrible trading decisions for their portfolios.
At an AI summit in Tokyo on Wednesday, Jensen Huang and Masayoshi Son joked about how SoftBank was once Nvidia’s largest shareholder before dumping its stake. The two billionaires are now joining forces on a Japanese supercomputer. SoftBank, which until early 2019 owned 4.9% of Nvidia, has secured a favorable spot in line for the chipmaker’s latest products.\r.
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Researchers at New York University have devised a mathematical approach to predict the structures of crystals—a critical step in developing many medicines and electronic devices—in a matter of hours using only a laptop, a process that previously took a supercomputer weeks or months. Their novel framework is published in the journal Nature Communications.
As quantum computing grows, researchers are urgently preparing for its impact on cybersecurity by developing quantum-resistant cryptographic protocols.
This research, led by experts at the National Center for Supercomputing Applications, focuses on safeguarding supercomputing infrastructures against quantum threats.
Quantum Computing and Cybersecurity.
