China Developing 1.57 Exaflop Supercomputer With China Made CPU-GPU Chip

There are reports that China has a new superchip MT-3000 processor designed by the National University of Defense Technology (NUDT). The MT-3000 has general-purpose CPU cores, control cores, and matrix accelerator cores. NUDT’s MT-3000 processor features a multi-zone structure that packs 16 general-purpose CPU cores with 96 control cores and 1,536 accelerator cores. The MT-3000 …

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Tensors are Critical for AI Processing But What Are Tensors? TPUs?

Dan Fleisch briefly explains some vector and tensor concepts from A Student’s Guide to Vectors and Tensors. In the field of machine learning, tensors are used as representations for many applications, such as images or videos. They form the basis for TensorFlow’s machine learning framework. It is useful to understand Tensors, Tensorflow, and TPU (Tensor …

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Desktop GPUs Simulate 24 Billion Synapse Mammal Brain Cortex

Dr James Knight and Prof Thomas Nowotny from the University of Sussex’s School of Engineering and Informatics used the latest Graphical Processing Units (GPUs) to give a single desktop PC the capacity to simulate brain models of almost unlimited size. This work will make large brain simulations accessible to researchers with tiny budgets. The research …

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Eight Nvidia A100 Next Generation Tensor Chips for 5 Petaflops at $200,000

The Nvidia A100 chip was presented at the Hot Chips conference. Sander Olson provided Nextbigfuture with the presentation. The Nvidia A100 is a third-generation Tensor Core chip. It is faster and more efficient than competing chips like the prior Nvidia chip (V100), the Google Tensor processing unut (TPU) version 3, and Huawei Ascend. The Nvidia …

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World’s Fastest Supercomputer Triples Performance to 445 PetaFLOPS

Using HPL-AI, a new approach to benchmarking AI supercomputers, Oak Ridge National Laboratory’s Summit supercomputer system reached 445 petaflops or nearly half an exaflops. The system’s official Linpack performance is 148 petaflops announced in the new TOP500 list of the world’s fastest supercomputers. Summit, the world’s fastest supercomputer, NVIDIA ran HPL-AI computations in less than …

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AMD makes first 7 nanometer CPU and GPU and performance competitive with Nvidia

Advanced Micro Devices launched its first 7-nm CPU and GPU at the lucrative target of the data center. The working chips deliver comparable performance to Intel’s 14-nm Xeon and Nvidia’s 12-nm Volta. AMD is back from the near dead. AMD is competitive with Nvidia and Intel will get a significant market share. A single 7-nm …

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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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Nvidia has GPU with Tensor cores has 9 times deep learning speed of previous Nvidia GPU

NVIDIA TITAN V is the most powerful graphics card ever created for the PC, driven by the world’s most advanced architecture—NVIDIA Volta. NVIDIA’s supercomputing GPU architecture is now here for your PC, and fueling breakthroughs in every industry. * Titan V is priced at $2,999 * specialized for AI and scientific simulation processing * 110 …

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IBM demonstrates 10x faster large-scale machine learning

Together with EPFL scientists, our IBM Research team has developed a scheme for training big data sets quickly. It can process a 30 Gigabyte training dataset in less than one minute using a single graphics processing unit (GPU) — a 10x speedup over existing methods for limited memory training. The results, which efficiently utilize the …

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DARPA funding reconfigurable structures and new materials to go beyond Moore’s law

The Department of Defense’s proposed FY 2018 budget includes a $75 million allocation for DARPA in support of a new, public-private “electronics resurgence” initiative. The initiative seeks to undergird a new era of electronics in which advances in performance will be catalyzed not just by continued component miniaturization but also by radically new microsystem materials, …

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