Latest news with #Perlmutter
Yahoo
3 days ago
- General
- Yahoo
Supercomputer shows black hole cracking neutron star in final explosive seconds
In a major breakthrough, scientists have simulated in unprecedented detail how a neutron star cracks just seconds before being swallowed by a black hole. The simulation, led by Caltech astrophysicist Elias Most, reveals how intense gravitational forces from the black hole begin to tear apart the neutron star's surface as the two objects spiral closer. The phenomenon fractures the crust violently, triggering quakes similar to massive earthquakes. "The neutron star's crust will crack open just like the ground in an earthquake," Most says. "The black hole's gravity first shears the surface, causing quakes in the star and the opening of rifts." Researchers found that this cracking sends powerful magnetic ripples, known as Alfvén waves, through the star's magnetosphere. These waves are strong enough to generate bursts of radio signals that could be detectable by telescopes, offering a potential warning sign of an imminent cosmic collision. This snapshot from a simulation shows a magnetized outflow of plasma launched following the merger of a black hole and a magnetized neutron star. Yoonsoo Kim/Caltech While earlier models had predicted such crustal fractures, this is the first time researchers have captured the full physics of the process in action. The simulation also offers the clearest prediction yet of what kind of electromagnetic flare might accompany the moment of rupture. "This goes beyond educated models for the phenomenon—it is an actual simulation that includes all the relevant physics taking place when the neutron star breaks like an egg," says co-author Katerina Chatziioannou, assistant professor of physics at Caltech and a William H. Hurt Scholar. The team used the Perlmutter supercomputer, one of the world's most powerful GPU-based systems, to perform the simulation. GPUs—better known for running AI programs and video games—enabled the researchers to solve the highly complex equations needed to simulate the interactions between matter, gravity, and magnetic fields in such violent cosmic events. These three panels are taken from a supercomputer simulation of a merger between a black hole (large black circle) and a neutron star (colored blob). The images, which move forward in time from left to right, show how the intense gravity of the black hole stretches the neutron star, before the black hole ultimately consumes it. Elias Most/Caltech The actual simulations take about four to five hours to run. Most and his team had been working on similar simulations for about two years using supercomputers without GPUs before they ran them on Perlmutter."That's what unlocked the problem," Most says. "With GPUs, suddenly, everything worked and matched our expectations. We just did not have enough computing power before to numerically model these highly complex physical systems in a sufficient detail." In a second simulation, also run on Perlmutter, the team explored what happens in the final instant after the neutron star is consumed. The results show the creation of monster shock waves, first predicted by co-author Andrei Beloborodov of Columbia University, racing outward from the site of the collision. A side view from a simulation of a "black hole pulsar." The yellow lines show where magnetic fields that are pointing in different directions meet up. Electric currents flow along this interface and heat up plasma, which takes on a characteristic "ballerina's skirt" geometry. Yoonsoo Kim/Caltech These strong waves could emit bursts of X-rays and gamma rays, adding another potential observational signal for astronomers. "It's like an ocean wave," Kim says. "The ocean is initially quiet, but as the waves come ashore, they steepen until they finally break. In our simulation, we can see the magnetic field waves break into a monster shock wave." The same simulation also points to the formation of a rare and short-lived phenomenon, called the black hole pulsar. For a fraction of a second after the merger, magnetic fields left over from the neutron star are expelled by the black hole as spinning magnetic winds. These winds mimic the telltale beams of a pulsar—a rapidly spinning neutron star that sends out light in narrow, repeating pulses—before quickly fading simulation is the first to show how the black hole pulsar could actually form in nature from the collision of a neutron star and black hole. "When the neutron star plunges into the black hole, the monster shock waves are launched," says Yoonsoo Kim, lead author of the second study. "After the star is sucked in, whipping winds are formed, creating the black hole pulsar. But the black hole cannot sustain its winds and will become quiet again within seconds." These findings open the door to identifying black hole–neutron star mergers using light-based observations. Until now, most such mergers have been detected through gravitational waves. But with simulations pointing to possible electromagnetic signals—such as radio bursts, X-rays, and gamma rays—astronomers may soon be able to observe these cosmic collisions with telescopes across the the future, the researchers hope to explore whether this same phenomenology extends to other types of binary systems. Both studies are published in The Astrophysical Journal Letters.
Yahoo
4 days ago
- Business
- Yahoo
Nvidia, Dell announce major project to reshape AI
Nvidia, Dell announce major project to reshape AI originally appeared on TheStreet. I believe that the universe always keeps things in balance. For every positive thing, there is a negative, and vice versa. Imagine working as a teacher for a moment. The world has changed, and suddenly everyone has access to artificial intelligence. Are your students using ChatGPT to do their homework? Absolutely. Would you like to be in that teacher's shoes? I know I wouldn't. What if this AI revolution turns out to be a tragedy like the use of leaded petrol, which is suspected to have lowered the IQ of Americans born in the 1960s and 1970s? While AI advances could potentially extinguish future scientific minds, today's scientists use powerful computers to deliver scientific breakthroughs. Google's AlphaFold, a program for protein structure prediction, had already made breakthroughs in 2018 before the advent of agentic AI. In 2024, its authors Demis Hassabis and John Jumper were awarded one-half of the Nobel Prize in Chemistry, the other half went to David Baker for his work on protein design. Baker wasn't doing his research on pen and paper either; he relied on the National Energy Research Scientific Computing Center's Perlmutter supercomputer to do his work. Now, Dell is working on something for those for whom Perlmutter isn't good enough. Dell Technologies () released its earnings report for Q1 Fiscal 2026 on May 29. Here are some of the highlights: Revenue of $23.4 billion, up 5% year over year Operating income of $1.2 billion, up 21% YoY Diluted EPS of $1.37, flat YoY, 'We achieved first-quarter record servers and networking revenue of $6.3 billion, and we're experiencing unprecedented demand for our AI-optimized servers. We generated $12.1 billion in AI orders this quarter alone, surpassing the entirety of shipments in all of FY25 and leaving us with $14.4 billion in backlog," stated Jeff Clarke, vice chairman and chief operating officer of Dell. Most of that backlog consists of complex systems built using Nvidia () Blackwell Dell is leaning heavily on Nvidia, Nvidia is looking for ways to minimize losses caused by new government policies that require a license to export its H20 chip to China. As TheStreet's Samuel O'Brient reports, Nvidia could not ship an additional $2.5 billion worth of H20 products during Q1 because of the restrictions. On top of that, Nvidia expects the H20 licensing requirement to result in an $8 billion revenue hit during Q2. Nvidia's guidance is for roughly $45 billion in sales in the second quarter. On May 29, Nvidia and Dell announced Doudna, a supercomputer for NERSC, a U.S. Department of Energy user facility at Berkeley Lab. It is set to launch in 2026 and is named for Nobel laureate and CRISPR pioneer Jennifer Doudna. According to Nvidia, Doudna is expected to outperform its predecessor, Perlmutter, by more than 10x in scientific output, all while using just 2-3x the power. It will be powered by NVIDIA's next-generation Vera Rubin chips.'I'm so proud that America continues to invest in this particular area,' stated NVIDIA founder and CEO Jensen Huang. 'It is the foundation of scientific discovery for our country. It is also the foundation for economic and technology leadership.' More Nvidia: Analysts issue rare warning on Nvidia stock before key earnings Analysts double price target of new AI stock backed by Nvidia Nvidia CEO shares blunt message on China chip sales ban Unlike conventional systems, Doudna merges simulation, data, and AI into a single seamless platform, built for real-time discovery. 'We're not just building a faster computer,' stated Nick Wright, advanced technologies group lead and Doudna chief architect at NERSC. 'We're building a system that helps researchers think bigger and discover sooner.' Doudna includes support for scalable quantum algorithm development and the co-design of future integrated quantum high-performance computing systems. Research teams, working on climate models and particle physics, are already porting full workflows to Doudna. Nvidia seems to be finding ways to recoup the revenue losses created by the new regulations, as Huang recently hinted at the possibility of greater partnership with Tesla and Dell announce major project to reshape AI first appeared on TheStreet on Jun 3, 2025 This story was originally reported by TheStreet on Jun 3, 2025, where it first appeared. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Miami Herald
4 days ago
- Business
- Miami Herald
Nvidia, Dell announce major project to reshape AI
I believe that the universe always keeps things in balance. For every positive thing, there is a negative, and vice versa. Imagine working as a teacher for a moment. The world has changed, and suddenly everyone has access to artificial intelligence. Are your students using ChatGPT to do their homework? Absolutely. Would you like to be in that teacher's shoes? I know I wouldn't. What if this AI revolution turns out to be a tragedy like the use of leaded petrol, which is suspected to have lowered the IQ of Americans born in the 1960s and 1970s? While AI advances could potentially extinguish future scientific minds, today's scientists use powerful computers to deliver scientific breakthroughs. Google's AlphaFold, a program for protein structure prediction, had already made breakthroughs in 2018 before the advent of agentic AI. In 2024, its authors Demis Hassabis and John Jumper were awarded one-half of the Nobel Prize in Chemistry, the other half went to David Baker for his work on protein design. Baker wasn't doing his research on pen and paper either; he relied on the National Energy Research Scientific Computing Center's Perlmutter supercomputer to do his work. Now, Dell is working on something for those for whom Perlmutter isn't good Technologies (DELL) released its earnings report for Q1 Fiscal 2026 on May 29. Here are some of the highlights: Revenue of $23.4 billion, up 5% year over yearOperating income of $1.2 billion, up 21% YoYDiluted EPS of $1.37, flat YoY, "We achieved first-quarter record servers and networking revenue of $6.3 billion, and we're experiencing unprecedented demand for our AI-optimized servers. We generated $12.1 billion in AI orders this quarter alone, surpassing the entirety of shipments in all of FY25 and leaving us with $14.4 billion in backlog," stated Jeff Clarke, vice chairman and chief operating officer of Dell. Most of that backlog consists of complex systems built using Nvidia (NVDA) Blackwell chips. Related: Dell execs sound alarm with consumer comments While Dell is leaning heavily on Nvidia, Nvidia is looking for ways to minimize losses caused by new government policies that require a license to export its H20 chip to China. As TheStreet's Samuel O'Brient reports, Nvidia could not ship an additional $2.5 billion worth of H20 products during Q1 because of the restrictions. On top of that, Nvidia expects the H20 licensing requirement to result in an $8 billion revenue hit during Q2. Nvidia's guidance is for roughly $45 billion in sales in the second quarter. On May 29, Nvidia and Dell announced Doudna, a supercomputer for NERSC, a U.S. Department of Energy user facility at Berkeley Lab. It is set to launch in 2026 and is named for Nobel laureate and CRISPR pioneer Jennifer Doudna. According to Nvidia, Doudna is expected to outperform its predecessor, Perlmutter, by more than 10x in scientific output, all while using just 2-3x the power. It will be powered by NVIDIA's next-generation Vera Rubin chips. Related: Popular cloud storage service might be oversharing your data "I'm so proud that America continues to invest in this particular area," stated NVIDIA founder and CEO Jensen Huang. "It is the foundation of scientific discovery for our country. It is also the foundation for economic and technology leadership." More Nvidia: Analysts issue rare warning on Nvidia stock before key earningsAnalysts double price target of new AI stock backed by NvidiaNvidia CEO shares blunt message on China chip sales ban Unlike conventional systems, Doudna merges simulation, data, and AI into a single seamless platform, built for real-time discovery. "We're not just building a faster computer," stated Nick Wright, advanced technologies group lead and Doudna chief architect at NERSC. "We're building a system that helps researchers think bigger and discover sooner." Doudna includes support for scalable quantum algorithm development and the co-design of future integrated quantum high-performance computing systems. Research teams, working on climate models and particle physics, are already porting full workflows to Doudna. Nvidia seems to be finding ways to recoup the revenue losses created by the new regulations, as Huang recently hinted at the possibility of greater partnership with Tesla and xAI. Related: Veteran fund manager who predicted April rally updates S&P 500 forecast The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc.
Yahoo
5 days ago
- Business
- Yahoo
Nvidia and Dell to Build DOE-Backed AI Supercomputer 'Doudna' for 2026 Launch
Nvidia (NVDA, Financials) and Dell (DELL, Financials) on Thursday announced a collaboration with the U.S. Department of Energy to develop the Doudna supercomputer, which will be deployed at Lawrence Berkeley National Laboratory in 2026. The DOE said the system is named after Nobel laureate Jennifer Doudna and will be powered by Dell infrastructure and Nvidia's Vera Rubin AI platform. Warning! GuruFocus has detected 4 Warning Signs with NVDA. Doudna's performance output is expected to exceed that of Berkeley Lab's current Perlmutter system by a factor of three to five, while requiring only double or triple the power. According to the Department of Energy, the system will support high-performance computing workloads ranging from molecular dynamics to AI model training. Energy Secretary Chris Wright said the project will advance American leadership in science, AI, and high-performance computing. Nvidia CEO Jensen Huang called the project a time machine for science, enabling faster discovery across cancer treatments, quantum breakthroughs and foundational physics. The DOE said Doudna will support over 11,000 researchers and will bring together simulation, AI, and massive data sets on a single platform. Dell CEO Michael Dell (Trades, Portfolio) said the system would redefine the limits of high-performance computing and help address global scientific challenges. Investors may view the Doudna contract as a long-term catalyst for Nvidia and Dell, reinforcing their roles in national strategic infrastructure. Key upcoming events to watch include AI chip demand updates and the DOE's rollout timeline. This article first appeared on GuruFocus. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
30-05-2025
- Business
- Yahoo
Nvidia and Dell Team Up to Build Department of Energy Supercomputer
May 30 - Nvidia (NASDAQ:NVDA) and Dell Technologies (NYSE:DELL) are teaming up to build the Department of Energy's next-generation supercomputer, Doudna. Doudna will pair Nvidia's latest Vera Rubin chips with Dell's liquid-cooled servers to support roughly 11,000 researchers nationwide. Warning! GuruFocus has detected 4 Warning Signs with NVDA. The system is designed to merge simulation, data, and artificial intelligence on a single platform, enabling scientists to stream data and receive real-time insights. It aims to accelerate work in fusion energy, materials science, drug discovery, space data processing and quantum workflows. Officials say Doudna will deliver about ten times the output of its predecessor, Perlmutter, while consuming only two to three times more power. Nvidia's role underscores its importance to U.S. science initiatives amid ongoing export restrictions to China. CEO Jensen Huang lauded recent U.S. efforts to boost domestic chip manufacturing but noted that export curbs have cost the company billions. Nvidia also faces scrutiny over plans for a Shanghai R&D facility, with lawmakers raising national security concerns. This article first appeared on GuruFocus. Sign in to access your portfolio
