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Category: supercomputing – Page 3

Quantum Computers Just Outsmarted Supercomputers — Here’s What They Solved

Quantum annealing is a specific type of quantum computing that can use quantum physics principles to find high-quality solutions to difficult optimization problems. Rather than requiring exact optimal solutions, the study focused on finding solutions within a certain percentage (≥1%) of the optimal value.

Many real-world problems don’t require exact solutions, making this approach practically relevant. For example, in determining which stocks to put into a mutual fund, it is often good enough to just beat a leading market index rather than beating every other stock portfolio.

Astrophysicists explore our galaxy’s magnetic turbulence in unprecedented detail using a new computer model

Astronomers have developed a computer simulation to explore, in unprecedented detail, magnetism and turbulence in the interstellar medium (ISM)—the vast ocean of gas and charged particles that lies between stars in the Milky Way galaxy.

Described in a study published in Nature Astronomy, the model is the most powerful to date, requiring the computing capability of the SuperMUC-NG supercomputer at the Leibniz Supercomputing Center in Germany. It directly challenges our understanding of how magnetized turbulence operates in astrophysical environments.

James Beattie, the paper’s lead author and a postdoctoral researcher at the Canadian Institute for Theoretical Astrophysics (CITA) at the University of Toronto, is hopeful the model will provide new insights into the ISM, the magnetism of the Milky Way galaxy as a whole, and astrophysical phenomena such as star formation and the propagation of cosmic rays.

Tesla’s Supercomputer Will DWARF Everything

Tesla is developing a terawatt-level supercomputer at Giga Texas to enhance its self-driving technology and AI capabilities, positioning the company as a leader in the automotive and renewable energy sectors despite current challenges ## ## Questions to inspire discussion.

Tesla’s Supercomputers.

💡 Q: What is the scale of Tesla’s new supercomputer project?

A: Tesla’s Cortex 2 supercomputer at Giga Texas aims for 1 terawatt of compute with 1.4 billion GPUs, making it 3,300x bigger than today’s top system.

💡 Q: How does Tesla’s compute power compare to Chinese competitors?

A: Tesla’s FSD uses 3x more compute than Huawei, Xpeng, Xiaomi, and Li Auto combined, with BYD not yet a significant competitor. Full Self-Driving (FSD)

Continue reading “Tesla’s Supercomputer Will DWARF Everything” | >

XAI’s Colossus Might Be Tesla’s Secret Weapon

XAI’s Colossus supercomputer is set to revolutionize AI technology and significantly enhance Tesla’s capabilities in self-driving, energy reliability, and factory operations through its rapid expansion and innovative partnerships.

Questions to inspire discussion.

AI Supercomputing.
🖥️ Q: What is XAI’s Colossus data center’s current capacity? A: XAI’s Colossus data center is now fully operational for Phase 1 with 300,000 H100 equivalents, powered by 150 MW from the grid and 150 MW in Tesla Megapacks.

New mathematical approach transforms simulations of large molecule behavior

Computer simulations help materials scientists and biochemists study the motion of macromolecules, advancing the development of new drugs and sustainable materials. However, these simulations pose a challenge for even the most powerful supercomputers.

A University of Oregon graduate student has developed a new mathematical equation that significantly improves the accuracy of the simplified computer models used to study the motion and behavior of large molecules such as proteins, and synthetic materials such as plastics.

The breakthrough, published last month in Physical Review Letters, enhances researchers’ ability to investigate the motion of large molecules in complex biological processes, such as DNA replication. It could aid in understanding diseases linked to errors in such replication, potentially leading to new diagnostic and therapeutic strategies.

Boosting quantum error correction using AI

A way to greatly enhance the efficiency of a method for correcting errors in quantum computers has been realized by theoretical physicists at RIKEN. This advance could help to develop larger, more reliable quantum computers based on light.

Quantum computers are looming large on the horizon, promising to revolutionize computing within the next decade or so.

“Quantum computers have the potential to solve problems beyond the capabilities of today’s most powerful supercomputers,” notes Franco Nori of the RIKEN Center for Quantum Computing (RQC).

MIT Achieves Critical Breakthrough That Brings Quantum Computing Closer to Practical Reality

For years, quantum computing has been the tech world’s version of “almost there”. But now, engineers at MIT have pulled off something that might change the game. They’ve made a critical leap in quantum error correction, bringing us one step closer to reliable, real-world quantum computers.

In a traditional computer, everything runs on bits —zeroes and ones that flip on and off like tiny digital switches. Quantum computers, on the other hand, use qubits. These are bizarre little things that can be both 0 and 1 at the same time, thanks to a quantum property called superposition. They’re also capable of entanglement, meaning one qubit can instantly influence another, even at a distance.

All this weirdness gives quantum computers enormous potential power. They could solve problems in seconds that might take today’s fastest supercomputers years. Think of it like having thousands of parallel universes doing your math homework at once. But there’s a catch.

Supercomputer Names Exact Year Life on Earth Will End

It might sound like something out of an apocalyptic movie, but a supercomputer has predicted the end of the world.

But don’t worry too much because it’s not supposed to happen soon.

According to an April 2025 article in LaGrada, a group of scientists used a supercomputer to “determine that survival on planet Earth will be impossible in about 1 billion years, when conditions become too extreme for life as we know it.”