China building $145 million superconducting computer that is up to 1000 times more energy efficient

China is building a 1 billion yuan (US$145.4 million) superconducting computer. It will be able to help develop new weapons, breaking codes and analyzing intelligence. It will use supercooled circuits made of superconducting materials. It will use 40 to 1000 times less energy. The plan is to make a prototype of the machine as early …

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Plans that require an exaFLOP AI supercomputer first are broken nuclear fusion plans

Researchers at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) and Princeton University will use the exaFLOP Aurora supercomputer starting in 2021 to help solve the problems and complexities associated with the ITER tokomak project. Regular Nextbigfuture reader Goatguy notes: we have yet to invent a general AI that can even pass …

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IBM has most powerful 200 Petaflop supercomputer and will sell same architecture commercially

Oak Ridge National Labs has unveiled the 200 petaflop Summit supercomputer. The USA has retaken the world’s most powerful computer. They have smartest artificial intelligence (AI) supercomputer and reached a major computing milestone. The USA has the best supercomputer for the first time since 2013, when China introduced the 34 PetaFLOP NUDT Tianhe-2 and then …

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US is funding $400-600 million for each of three exascale supercomputers to be delivered by 2022

The Department of Energy’s (DOE’s) Office of Science (SC) and National Nuclear Security Administration (NNSA) are collaborating to acquire non-recurring engineering (NRE) and up to three exascale High Performance Computing (exascale HPC) systems. This collaboration, known as CORAL, involves Argonne National Laboratory (ANL), Lawrence Livermore National Laboratory (LLNL), and Oak Ridge National Laboratory (ORNL), which …

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Nvidia DGX-2 is 2 petaflop AI supercomputer for $399,000

NVIDIA launched NVIDIA DGX-2, the first single server capable of delivering two petaflops of computational power.A DGX-2 has the deep learning processing power of 300 servers occupying 15 racks of datacenter space, while being 60x smaller and 18x more power efficient. NVIDIA DGX-2 is a server rack with 16 Volta GPUs and Dual Xeon Platinums …

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Breakthrough AI convolutional neural network using an optical coprocessor

Optalysys has created convolutional neural network using its optical coprocessor. The UK-based company has developed optical computing hardware that uses lasers and spatial light modulators (SLMs) to perform complex numerical processing at extremely high speeds and using very little power. The optical laser technology enables them to process this model several orders of magnitude faster …

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China leads in top 500 supercomputers with 202 versus the US with 143

China has overtaking the US in the total number of ranked supercomputer systems in the top 500 by a margin of 202 to 143. It is the largest number of supercomputers China has ever claimed on the TOP500 ranking, with the US presence shrinking to its lowest level since the list’s inception 25 years ago. …

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Nvidia AI and multi-petaOps chips for class 5 automated cars within 4 years

Nvidia Corp chief executive Jensen Huang said on Thursday artificial intelligence would enable fully automated cars within 4 years, but sought to tamp down expectations for a surge in demand for its chips from cryptocurrency miners. “It will take no more than 4 years to have fully autonomous cars on the road. How long it …

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New type of supercomputer could be based on ‘magic dust’ combination of light and matter

A team of researchers from the UK and Russia have successfully demonstrated that a type of ‘magic dust’ which combines light and matter can be used to solve complex problems and could eventually surpass the capabilities of even the most powerful supercomputers. The researchers, from Cambridge, Southampton and Cardiff Universities in the UK and the …

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Floating Point 16 bit will be at 2-3 exaflop supercomputers in 2018

Double precision exaflop/second has been the traditional definition of general purpose exaflop supercomputer. There are domain-specific machines and even the American DoE Summit and Sierra supercomputers where it can be different. These two machines, because of the NVIDIA Volta, will have significant acceleration speed in reduced precision arithmetic FP16, with what they call their Tensor …

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