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Archive for the ‘supercomputing’ category: Page 5

Dec 12, 2023

Supercomputer Stout brews breakthroughs

Posted by in categories: innovation, supercomputing

Stout has earned a spot on the Top500 computers list that was released Nov. 13.

Dec 12, 2023

Tesla’s Dojo 2 Supercomputer: Leading the AI Revolution

Posted by in categories: robotics/AI, supercomputing

Tesla is pushing the boundaries of AI and supercomputing with the development of Dojo 2, aiming to build the world’s biggest supercomputer by the end of next year, and setting high goals for performance and cost efficiency.

Questions to inspire discussion.

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Dec 10, 2023

AMD Unveils AI Accelerators From Cloud To Client With MI300 Leading The Charge

Posted by in categories: robotics/AI, supercomputing

AMD provided a deep-dive look at its latest AI accelerator arsenal for data centers and supercomputers, as well as consumer client devices, but software support, optimization and developer adoption will be key.


Advanced Micro Devices held its Advancing AI event in San Jose this week, and in addition to launching new AI accelerators for the data center, supercomputing and client laptops, the company also laid out its software and ecosystem enablement strategy with an emphasis on open source accessibility. Market demand for AI compute resources is currently outstripping supply from incumbents like Nvidia, so AMD is racing to provide compelling alternatives. Underscoring this emphatically, AMD CEO Dr. Lisa Su, noted that the company is raising its TAM forecast for AI accelerators from the $150 billion number it projected a year ago at this time, to $400 billion by 2027 with a 70% compounded annual growth rate. Artificial Intelligence is obviously a massive opportunity for the major chip players, but it’s really anybody’s guess as to the true potential market demand. AI will be so transformational that it will impact virtually all industries in some way or another. Regardless, the market will likely be welcoming and eager for these new AI silicon engines and tools from AMD.

AMD’s data center group formally launched two major product family offerings this week, known as the MI300X and MI300A, for the enterprise and cloud AI and supercomputing markets, respectively. These two products are purpose-built for their respective applications, but are based on similar chiplet-enabled architectures with advanced 3D packaging techniques and a mix of optimized 5 and 6nm semiconductor chip fab processes. AMD’s High Performance Computing AI accelerator is the Instinct MI300A that is comprised of both the company’s CDNA 3 data center GPU architecture, along with Zen 4 CPU core chiplets (24 EPYC Genoa cores) and 128GB of shared, unified HBM3 memory that both the GPU accelerators and CPU cores have access to, as well as 256MB of Infinity Cache. The chip is comprised of a whopping 146B transistors and offers up to 5.3 TB/s of peak memory bandwidth, with its CPU, GPU, and IO interconnect enabled via AMD’s high speed serial Infinity Fabric.

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Dec 8, 2023

Tianhe Xingyi: China unveils the ‘fastest’ homegrown supercomputer

Posted by in categories: biotech/medical, robotics/AI, space travel, supercomputing

No specifications have been revealed, but officials have claimed that it surpasses the capabilities of the famous Tianhe-2 supercomputer.


The National Supercomputing Center (NSC) in Guangzhou, China, has unveiled the Tianhe Xingyi, a homegrown supercomputer, at an industrial event in Guangdong Province, which several media reports have confirmed. The NSC is the parent organization under whose guidance the Tianhe-2 supercomputer was also developed.

Supercomputers are a crucial component of a nation’s progress as they aid in solving the most complex and technical problems. The US has conventionally led the world in hosting the fastest supercomputers, as captured by the TOP500 listings, while also leading in the absolute number of supercomputers available to its researchers.

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Dec 7, 2023

Tesla’s Dojo Supercomputer Gets New Leader: Peter Bannon

Posted by in category: supercomputing

Bloomberg’s Mark Gurman breaks down what Dojo supercomputer project lead Ganesh Venkataramanan’s departure means for Tesla on Bloomberg Radio ——– Get more on The Tape Podcast On Apple: http://bit.ly/3YrBfOi On Spotify: http://bit.ly/3SPPZ8F Anywhere: http://bit.ly/43hOc0r

Dec 7, 2023

“Deep Heating” of a Jupiter-Like Planet Causes New Storm to Blow

Posted by in categories: climatology, space, supercomputing

Supercomputer simulations of the weather on a hot Jupiter reveal a previously unseen storm pattern in which cyclones are repeatedly generated and destroyed.

Dec 7, 2023

DARPA-Funded Research Leads to Quantum Computing Breakthrough

Posted by in categories: quantum physics, supercomputing

Some new concepts for me but interesting and a good step forward.


A team of researchers working on DARPA’s Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program has created the first-ever quantum circuit with logical quantum bits (qubits), a key discovery that could accelerate fault-tolerant quantum computing and revolutionize concepts for designing quantum computer processors.

The ONISQ program began in 2020 seeking to demonstrate a quantitative advantage of quantum information processing by leapfrogging the performance of classical-only supercomputers to solve a particularly challenging class of problem known as combinatorial optimization. The program pursued a hybrid concept to combine intermediate-sized “noisy”— or error-prone — quantum processors with classical systems focused specifically on solving optimization problems of interest to defense and commercial industry. Teams were selected to explore various types of physical, non-logical qubits including superconducting qubits, ion qubits, and Rydberg atomic qubits.

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Dec 6, 2023

IBM finally unveils quantum powerhouse, a 1,000+ qubit processor

Posted by in categories: biotech/medical, mathematics, quantum physics, supercomputing

With a processor that has fewer qubits, IBM has improved error correction, paving the way for the use of these processors in real life.


IBM has unveiled its much-awaited 1,000+ qubit quantum processor Condor, alongside a utility-scale processor dubbed IBM Quantum Heron at its Quantum Summit in New York. The latter is the first in the series of utility-scale quantum processors that IBM took four years to build, the company said in a press release.

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Dec 4, 2023

Quantum computers could solve problems in minutes that would take today’s supercomputers millions of years

Posted by in categories: economics, health, quantum physics, supercomputing

“We’re looking at a race, a race between China, between IBM, Google, Microsoft, Honeywell,” Kaku said. “All the big boys are in this race to create a workable, operationally efficient quantum computer. Because the nation or company that does this will rule the world economy.”

It’s not just the economy quantum computing could impact. A quantum computer is set up at Cleveland Clinic, where Chief Research Officer Dr. Serpil Erzurum believes the technology could revolutionize the world of health care.

Quantum computers can potentially model the behavior of proteins, the molecules that regulate all life, Erzurum said. Proteins change their shape to change their function in ways that are too complex to follow, but quantum computing could change that understanding.

Dec 1, 2023

How one national lab is getting its supercomputers ready for the AI age

Posted by in categories: government, robotics/AI, supercomputing, sustainability

OAK RIDGE, Tenn. — At Oak Ridge National Laboratory, the government-funded science research facility nestled between Tennessee’s Great Smoky Mountains and Cumberland Plateau that is perhaps best known for its role in the Manhattan Project, two supercomputers are currently rattling away, speedily making calculations meant to help tackle some of the biggest problems facing humanity.

You wouldn’t be able to tell from looking at them. A supercomputer called Summit mostly comprises hundreds of black cabinets filled with cords, flashing lights and powerful graphics processing units, or GPUs. The sound of tens of thousands of spinning disks on the computer’s file systems, and air cooling technology for ancillary equipment, make the device sound somewhat like a wind turbine — and, at least to the naked eye, the contraption doesn’t look much different from any other corporate data center. Its next-door neighbor, Frontier, is set up in a similar manner across the hall, though it’s a little quieter and the cabinets have a different design.

Yet inside those arrays of cabinets are powerful specialty chips and components capable of, collectively, training some of the largest AI models known. Frontier is currently the world’s fastest supercomputer, and Summit is the world’s seventh-fastest supercomputer, according to rankings published earlier this month. Now, as the Biden administration boosts its focus on artificial intelligence and touts a new executive order for the technology, there’s growing interest in using these supercomputers to their full AI potential.

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