Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Infleqtion CTO says quantum computing could one day help make $AAPL iPhone batteries last years instead of hours but future is QPUs working alongside $NVDA GPUs and CPUs rather than replacing them.

36,027 Aufrufe • vor 5 Tagen •via X (Twitter)

4 Kommentare

Profilbild von Sam Badawi
Sam Badawivor 5 Tagen

A phenomenal interview with them!

Profilbild von rugger
ruggervor 5 Tagen

lol...hopes n dreams. there is nothing there

Profilbild von Macro Bombastic
Macro Bombasticvor 5 Tagen

10 years is wild but yeah quantum plus gpus is the realistic path

Profilbild von iFone
iFonevor 5 Tagen

batteries lasting years when mine can barely make it to dinner, i'll believe it when i see it lol

Ähnliche Videos

QUANTUM COMPUTING COULD UNLEASH THE MOST POWERFUL AI EVER BUILT. BUT WHO REALLY CONTROLS IT? The Pentagon has invested more than $150 million in quantum computing, a technology most Americans have never used, but one that could reshape artificial intelligence, drug discovery, encryption, national security, and surveillance. Quantum computers use qubits instead of ordinary binary bits. Unlike traditional bits, which are either a one or a zero, qubits can represent multiple possibilities at once. That gives quantum systems the potential to solve certain complex calculations beyond the reach of today’s computers. President Trump signed two executive orders this year to accelerate quantum development and prepare U.S. systems for quantum-era cyber threats. IBM is also working toward a machine with at least 1,000 programmable qubits, a major step toward more powerful quantum systems. The potential is enormous. Paired with AI, quantum computing could help researchers model disease, study pollution, test new materials, and examine massive problems faster than ever. But the risks are enormous too. The same technology could expand surveillance, undermine encryption, and give those who control it unprecedented power to predict and influence human behavior. The question is not just what quantum-powered AI can do. It is who controls it, and whether the public will have any protection from it. Austin Steinbart (Austin Steinbart) joins me to break down quantum computing, AI, surveillance, and what this technology could mean for society.

Ben Swann

10,547 Aufrufe • vor 1 Monat

Nvidia’s CTO just explained why $NBIS stands out from every other neocloud. A normal cloud and an AI factory are not the same thing. A traditional cloud is built for flexible, general purpose computing. An AI factory has to make the GPUs, CPUs, storage, networking and software work together like one giant system. That is basically what Nebius is building. Nebius VP of Product Narek T. says customers are choosing the platform mainly because of reliability and performance. Having the newest Nvidia GPUs is nice but at this scale that is not enough. Customers care about how efficiently thousands of GPUs work together and, more importantly, what happens when something breaks and something will break. When you are running thousands of GPUs, hardware failures are inevitable. Nebius says its platform can automatically detect and replace unhealthy nodes in roughly 12 to 15 minutes while protecting the workload. Manually, that process can take hours. That matters because an AI lab does not want a massive training run getting interrupted every time one server fails. Nebius is also getting extremely early access to Nvidia’s newest systems. It was the first cloud provider in Europe to put GB300 NVL72 into production and the first globally to connect it with 800 Gbps Quantum X800 InfiniBand. Each GB300 NVL72 rack combines 72 Blackwell Ultra GPUs and 36 Grace CPUs into one liquid cooled system, with NVLink essentially making the rack behave like one enormous GPU. Nebius can then connect multiple racks together for even larger training and reasoning workloads. And they are already preparing for Vera Rubin.mThis is where the story gets more interesting to me. Nebius does not want to just rent GPUs by the hour forever. The company is also building serverless inference products where customers pay for actually running models and producing tokens and that could be a MUCH better business. Nvidia recently said Nebius software optimizations increased token throughput on the same GB300 hardware by as much as 2.7x in six months, while reducing cost per token by more than 60%.. That means Nebius can generate more tokens, more revenue and better economics from the same amount of data center power. Extremely bullish on $NBIS

Melvin

21,381 Aufrufe • vor 11 Tagen

6,100-Qubit Processor Shatters Quantum Computing Record | David Nield, ScienceAlert Another major quantum computing record has been broken, and by a considerable margin: physicists have now built an array containing 6,100 qubits, the largest of its type and way above the thousand or so qubits previous systems contained. It's the work of scientists from the California Institute of Technology, who used cesium atoms as their qubits, trapping them in place with a complex system of lasers that acted as tweezers to keep the atoms as stable as possible. Qubits differ from the classical bits of traditional computers by exploiting what's known as a superposition: not just binary states of 1 or 0, but a spread of probabilities that allows for algorithms that can solve problems considered out of reach of conventional computing methods. Related: Quantum Advantage: A Physicist Explains The Future of Computers A lot of qubits will be needed to make quantum algorithms practical, however. One reason for these large arrays is error correction, which helps overcome the inherent fragility of the qubit by providing a surplus to double-check the machine's operation. "This is an exciting moment for neutral-atom quantum computing," says physicist Manuel Endres. "We can now see a pathway to large error-corrected quantum computers. The building blocks are in place." There was no single breakthrough that enabled this jump in qubit numbers, but rather a series of engineering advancements in many key areas – from the laser tweezers to the ultra-high (very low pressure) vacuum chamber. Stability has also been a problem for quantum computing systems. The innovations in this latest array kept qubits in a superposition state for almost 13 seconds – almost ten times longer than previous configurations had managed. What's more, individual qubits could be manipulated with 99.98 percent accuracy, establishing a significant benchmark in the programmability of quantum technology. "Large scale, with more atoms, is often thought to come at the expense of accuracy, but our results show that we can do both," says physicist Gyohei Nomura. "Qubits aren't useful without quality. Now we have quantity and quality." To make quantum computers a practical alternative to modern supercomputers, more qubits and even greater levels of stability will be required. Experts are tackling the problem from several different angles, which is why records for some types of quantum computer don't necessarily apply to others. Next, the researchers need to work on exploiting entanglement, which will enable the system to make the leap from storing information to actually processing it. Not too far in the future, we could be using these computers to discover new materials, matter, and fundamental laws of physics. "It's exciting that we are creating machines to help us learn about the Universe in ways that only quantum mechanics can teach us," says physicist Hannah Manetsch. Read more:

Owen Gregorian

45,324 Aufrufe • vor 1 Jahr