The massive data centers use liquid cooling for top performance.

As noted by Musk in his update, Tesla is just finalizing the construction of Giga Texas’ supercomputer cluster. He also noted that the electric vehicle maker would be attempting to get the supercomputer cluster online in the coming months. The cluster is expected to further accelerate the progress of Tesla’s FSD efforts, which is crucial for the rollout of the company’s dedicated Robotaxi, which will be unveiled on August 8, 2024.

While Musk was all work in his Giga Texas update during Independence Day, he also took some time to poke fun at Meta CEO Mark Zuckerburg, who posted a video of himself wakeboarding in a suit and sunglasses, sipping some beer, and holding up an American flag to celebrate the Fourth of July. Zuckerburg’s video went viral, with social media users noting that it made the Meta CEO very likable and cool.

In the past decade, metal-halide perovskites have rapidly progressed as a semiconductor, surpassing silicon in their ability to convert light into electric current since their initial discovery.

Simulations on TACC’s Frontera and Lonestar6 supercomputers have revealed surprising vortex structures in quasiparticles of electrons and atoms, called polarons, which contribute to generating electricity from sunlight.

This new discovery can help scientists develop new solar cells and LED lighting. This type of lighting is hailed as an eco-friendly, sustainable technology that can reshape the future of illumination.

The first #Quantum #Supercomputers are here! Quantum enabled supercomputing promises to shed light on new quantum algorithms, hardware innovations, and error mitigation schemes. Large collaborations in the field are kicking off between corporations and supercomputing centers. Companies like NVIDIA, IBM, IQM, QuEra, and others are some of the earliest to participate in these partnerships.

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A new quantum-system-on-chip enables the efficient control of a large array of qubits, advancing toward practical quantum computing.

Researchers at MIT and MITRE have developed a scalable, modular quantum hardware platform, incorporating thousands of qubits on a single chip, promising enhanced control and scalability. Utilizing diamond color centers, this new architecture supports extensive quantum communication networks and introduces an innovative lock-and-release fabrication process to efficiently integrate these qubits with existing semiconductor technologies.

Quantum Computing Potential

Imagine being able to quickly solve extremely complex problems that might take the world’s most powerful supercomputer decades to crack. This is the promise of quantum computers.

The best supercomputers in the world have less than 50,000 GPUs, how in the world is someone going to make an AI cluster with 1.2 million GPUs?

The result is a significant advancement in the field, showcasing the practical applicability of quantum computing in solving complex material science problems. Furthermore, the researchers discovered factors that can improve the durability and energy efficiency of quantum memory devices. The findings have been published in Nature Communications.

In the early 1980s, Richard Feynman asked whether it was possible to model nature accurately using a classical computer. His answer was: no. The world consists of fundamental particles, described by the principles of quantum physics. The exponential growth of the variables that must be included in the calculations pushes even the most powerful supercomputers to their limits. Instead, Feynman suggested using a computer that was itself made up of quantum particles. With his vision, Feynman is considered by many to be the Father of Quantum Computing.

Scientists at Forschungszentrum Jülich, together with colleagues from Slovenian institutions, have now shown that this vision can actually be put into practice. The application they are looking at is a so-called many-body system. Such systems describe the behavior of a large number of particles that interact with each other.

“At this point, the neutrinos go from passive particles—almost bystanders—to major elements that help drive the collapse,” Savage said. “Supernovae are interesting for a variety of reasons, including as sites that produce heavy elements such as gold and iron. If we can better understand neutrinos and their role in the star’s collapse, then we can better determine and predict the rate of events such as a supernova.”

Scientists seldom observe a supernova close-up, but researchers have used classical supercomputers such as ORNL’s Summit to model aspects of the process. Those tools alone wouldn’t be enough to capture the quantum nature of neutrinos.

“These neutrinos are entangled, which means they’re interacting not just with their surroundings and not just with other neutrinos but with themselves,” Savage said.

Quantum computers have the potential to solve complex problems in human health, drug discovery, and artificial intelligence millions of times faster than some of the world’s fastest supercomputers. A network of quantum computers could advance these discoveries even faster. But before that can happen, the computer industry will need a reliable way to string together billions of qubits—or quantum bits—with atomic precision.

Memphis may get most powerful super computer yet.

Memphis, Tennessee, may host the world’s largest supercomputer, the “Gigafactory of Compute.”:

The Memphis Shelby County Economic Development Growth Engine (EDGE), Tennessee Valley Authority (TVA), and governing authorities hold the key to finalizing the project. If approved, it would be the largest investment in Memphis history.

According to Memphis Mayor Paul Young, the city boasts “an ideal site, ripe for investment,” coupled with a skilled workforce that can “keep up with the pace required to land this transformational project, the Business Insider reported.

The supercomputer itself is expected to be a technological marvel. It will be powered by 100,000 Nvidia’s H100 GPUs, currently some of the most sought-after chips in the AI industry, as reported by The Information.