Supercomputer recorded a 75,839-fold boost in handling data for machine learning after a breakthrough in memory management.
IBM’s new Quantum Computer breaks the current world record in terms of Qubits and ushers in a new era of quantum supremacy. It’s also IBM’s last chance of potentially undoing its rise and fall among the biggest tech companies in the world that has been occuring these last few years. The Eagle Quantum computer has 127 qubits and can outperform the fastest supercomputers in the world in certain tasks and calculations. Whether or not Google’s Quantum AI company will come back from behind is currently uncertain. But one thing is for sure: The future of Quantum Computers does look very bright.
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TIMESTAMPS:
00:00 IBM’s Last Chance.
01:23 The competetive field of Quantum Computing.
02:19 How this Quantum Computer was made.
04:00 What is Neven’s Law?
06:35 And the goal of all this is…
09:22 Last Words.
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#ibm #quantumcomputer #ai
There are no greater bragging rights in supercomputing than those that come with top ten listing on the bi-annual list of the world’s most powerful systems—the Top 500. And there are no countries more inclined to throw themselves (and billions) into that competition this decade than the U.S. and China.
Today, the latest results were announced (much more on those here) but notably absent, aside from the expected first exascale machine in the U.S., “Frontier” at Oak Ridge National Laboratory in the U.S., are China’s results, which if published, would have shown two separate exascale-class machines.
This would have been a major mainstream news story had China decided to publicize its results–and on several fronts.
IBM has created a quantum processor able to process information so complex the work can’t be done or simulated on a traditional computer, CEO Arvind Krishna told “Axios on HBO” ahead of a planned announcement.
Why it matters: Quantum computing could help address problems that are too challenging for even today’s most powerful supercomputers, such as figuring out how to make better batteries or sequester carbon emissions.
Driving the news: IBM says its new Eagle processor can handle 127 qubits, a measure of quantum computing power. In topping 100 qubits, IBM says it has reached a milestone that allows quantum to surpass the power of a traditional computer.
NVIDIA plans to build the world’s most powerful AI supercomputer dedicated to predicting climate change, named Earth-2.
The earth is warming. The past seven years are on track to be the seven warmest on record. The emissions of greenhouse gases from human activities are responsible for approximately 1.1°C of average warming since the period 1850–1900.
What we’re experiencing is very different from the global average. We experience extreme weather — historic droughts, unprecedented heatwaves, intense hurricanes, violent storms and catastrophic floods. Climate disasters are the new norm.
Continue reading “NVIDIA to Build Earth-2 Supercomputer to See Our Future” »
The Hardware Giant NVIDIA is now working on one of the craziest projects I’ve ever seen. They’re attempting to build the fastest supercomputer ever made in hopes of simulating the entire earth in real time for climate research and potentially even more. They call this super computer Earth 2 and it’s going to feature their most powerful next generation GPU’s in the world. It’ll feature multiple exaflops of performance and be supported by the government. I can’t wait to see how this crazy project works out. It was announced by Jensen Huang at NVIDIA GTC 2021.
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TIMESTAMPS:
00:00 The Simulation Hypothesis.
01:29 What is Nvidia attempting to do?
03:10 What are supercomputers usually used for?
05:54 What is NVIDIA doing differently now?
07:02 Last Words.
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#nvidia #gtc #supercomputer
https://youtube.com/watch?v=a5w_aZfncO0
The virtual sphere of digital collaboration is growing.
And while the soon-to-be-defunct Facebook pivots to Meta’s Metaverse in a bid to pivot operations into the virtual world, Nvidia is expanding its Omniverse, designed to enhance workflows in the new media environment, according to a pre-brief of the GTC 2021 event that IE attended.
Continue reading “Nvidia’s New ‘Digital Twin’ Technology Lets You See Alternate Universes” »
NVIDIA has launched a follow-up to the Jetson AGX Xavier, its $1,100 AI brain for robots that it released back in 2018. The new module, called the Jetson AGX Orin, has six times the processing power of Xavier even though it has the same form factor and can still fit in the palm of one’s hand. NVIDIA designed Orin to be an “energy-efficient AI supercomputer” meant for use in robotics, autonomous and medical devices, as well as edge AI applications that may seem impossible at the moment.
The chipmaker says Orin is capable of 200 trillion operations per second. It’s built on the NVIDIA Ampere architecture GPU, features Arm Cortex-A78AE CPUs and comes with next-gen deep learning and vision accelerators, giving it the ability to run multiple AI applications. Orin will give users access to the company’s software and tools, including the NVIDIA Isaac Sim scalable robotics simulation application, which enables photorealistic, physically-accurate virtual environments where developers can test and manage their AI-powered robots. For users in the healthcare industry, there’s NVIDIA Clara for AI-powered imaging and genomics. And for autonomous vehicle developers, there’s NVIDIA Drive.
The company has yet to reveal what the Orin will cost, but it intends to make the Jetson AGX Orin module and developer kit available in the first quarter of 2022. Those interested can register to be notified about its availability on NVIDIA’s website. The company will also talk about Orin at NVIDIA GTC, which will take place from November 8th through 11th.
Fujitsu and the Riken research institute ended up packing 152,064 A64FX chips into what would become the Fugaku system, which is now the world’s fastest supercomputer.
Recently, the SETI, or Search for Extraterrestrial Intelligence, released an application called SETI AT HOME, which allows any regular computer to help the SETI researchers find alien intelligence. This idea is brilliant since it saves an enormous amount of money by distributing processing power throughout computers all around the globe instead of buying super expensive supercomputers. So, anyone can go to their website and download this application to help the SETI researchers crunch data to find extraterrestrials. This way, the entire internet can be turned into a giant supercomputer! But what if we needed a processing capacity that far exceeded all the computers on Earth used in conjunction? Well, for such vast computational power, we may have to look beyond our planetary resources, directly to the stars! This is where the idea of the Matrioshka Brain proposed by Robert J. Bradbury comes in!
In his 1960 paper “Search for Artificial Stellar Sources of Infra-Red Radiation”, physicist and mathematician Freeman Dyson proposed the idea of a megastructure. Now commonly known as a Dyson Sphere, it was conceived to spot other advanced civilizations in the universe, particularly, Kardashev Type 2 civilizations that are capable of controlling all of the available energy in their stellar system! Dyson believed that a Type 2 civilization should be able to build this hypothetical megastructure around its star which would completely encircle it and harness all its energy.
