October 25, 2024, Boston – Neutral-atom quantum company QuEra Computing today announced that on September 6th, it signed a memorandum of understanding with the National Institute of Advanced Industrial Science and Technology (AIST) to strengthen their collaboration towards the advancement and industrialization of quantum technology. This agreement builds on an April 2024 contract, under which […]

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Japan’s National Institute of Advanced Industrial Science and Technology (AIST) research organization will integrate thousands of Nvidia H200 Tensor Core GPUs into its HPE-Cray ....

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The post DDN’s Storage Adopted for ‘AI Bridging Green Cloud Infrastructure’ Supercomputer in Japan appeared first on High-Performance Computing News Analysis | insideHPC.

Shinichiro Takizawa from AIST gave this talk at the MVAPICH User Group. "ABCI is the world's first large-scale Open AI Computing Infrastructure, constructed and operated by AIST, Japan. It delivers 19.9 petaflops of HPL performance and world' fastest training time of 1.17 minutes in ResNet-50 training on ImageNet datasets as of July 2019. In this talk, we focus on ABCI’s network architecture and communication libraries available on ABCI and shows their performance and recent research achievements."

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Satoshi Matsuoka from the Tokyo Institute of Technology gave this talk at the NVIDIA booth at SC17. "TSUBAME3 embodies various BYTES-oriented features to allow for HPC to BD/AI convergence at scale, including significant scalable horizontal bandwidth as well as support for deep memory hierarchy and capacity, along with high flops in low precision arithmetic for deep learning."

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Nikkei in Japan reports that Fujitsu is building a 37 Petaflop supercomputer for the National Institute of Advanced Industrial Science and Technology (AIST). "Targeted at Deep Learning workloads, the machine will power the AI research center at the University of Tokyo's Chiba Prefecture campus. The new Fujitsu system feature will comprise 1,088 servers, 2,176 Intel Xeon processors, and 4,352 NVIDIA GPUs."

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In this podcast, the Radio Free HPC team reviews the results from SC16 Student Cluster Competition. "This year, the advent of clusters with the new Nvidia Tesla P100 GPUs made a huge impact, nearly tripling the Linpack record for the competition. For the first-time ever, the team that won top honors also won the award for achieving highest performance for the Linpack benchmark application. The team “SwanGeese” is from the University of Science and Technology of China. In traditional Chinese culture, the rare Swan Goose stands for teamwork, perseverance and bravery."

The post Radio Free HPC Reviews the SC16 Student Cluster Competition Configurations & Results appeared first on High-Performance Computing News Analysis | insideHPC.