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NVIDIA Expands Deep Learning Institute

Today NVIDIA announced a broad expansion of its Deep Learning Institute (DLI), which is training tens of thousands of students, developers and data scientists with critical skills needed to apply artificial intelligence. “The world faces an acute shortage of data scientists and developers who are proficient in deep learning, and we’re focused on addressing that need,” said Greg Estes, vice president of Developer Programs at NVIDIA. “As part of the company’s effort to democratize AI, the Deep Learning Institute is enabling more developers, researchers and data scientists to apply this powerful technology to solve difficult problems.”

NVIDIA GPUs Power Fujitsu AI Supercomputer at RIKEN in Japan

Fujitsu has posted news that their new AI supercomputer at RIKEN in Japan is already being used for AI research. Called RAIDEN (Riken AIp Deep learning ENvironment), the GPU-accelerated Fujitsu system sports 4 Petaflops of processing power. “The RAIDEN supercomputer is built around Fujitsu PRIMERGY RX 2530 M2 servers with and 24 NVIDIA DGX-1 systems. With 8 NVIDIA Tesla GPUs per chassis, the DGX-1 includes access to today’s most popular deep learning frameworks.”

Radio Free HPC Previews SC17 in Denver

In this podcast, the Radio Free HPC team previews the ancillary events leading up to SC17, which takes place Nov. 12-17 in Denver. “SC17 is the world’s largest gathering of supercomputing professionals. There’s a lot not to miss before the exhibit floor opens in Denver, and we have the full countdown.”

Industry Analysis: AI and Deep Learning – the Voice of the Market

In this video, Dan Olds from OrionX presents insights from their Q2-Q3 2017 Survey on Artificial Intelligence/Machine Learning/Deep Learning – one of the industry’s most comprehensive AI/ML/DL surveys to date with more than 144 data points. “Dan Olds talks the audience through the demographics and questions, respondents’ understanding of AI/ML/DL, current projects, who is driving AI in organizations, project attributes and more.”

Video: HPC Meets Machine Learning

 Andres Gómez Tato from CESGA gave this talk at the HPC Advisory Council Spain Conference. “With the explosion of Deep Learning thanks to the availability of large volume of data, computational resources are needed to train large models, using GPUs and distributed computing. When working on large models, HPC infrastructures can help to speed-up some task during the model design and training. Based on the experience at CESGA and FORTISIMO, this talk reviews the computational needs of Deep Learning, the use cases where HPC can help to Machine Learning, the performance of available Machine Learning APIs and the parallel methods commonly used during ML training.”

NVIDIA GPU Cloud comes to AWS with Volta GPUs

“In just a few steps, the NVIDIA GPU Cloud (NGC) container registry helps developers get started with no-cost access to a comprehensive, easy-to-use, fully optimized deep learning software stack. The cloud-based service is available immediately to users of the just-announced Amazon Elastic Compute Cloud (Amazon EC2) P3 instances featuring NVIDIA Tesla V100 GPUs. NVIDIA plans to expand support to other cloud platforms soon.”

HPE Unveils a Set Artificial Intelligence Platforms and Services

Today Hewlett Packard Enterprise announced new purpose-built platforms and services capabilities to help companies simplify the adoption of Artificial Intelligence, with an initial focus on a key subset of AI known as deep learning. “HPE’s infrastructure and software solutions are designed for ease-of-use and promise to play an important role in driving AI adoption into enterprises and other organizations in the next few years.”

Radio Free HPC Announces Project Cyclops for World’s Fastest Node

In this podcast, Dan Olds from OrionX describes Project Cyclops – a benchmarking quest to build the world’s fastest single node. “We’ve done more than 150 podcasts talking about topics in high performance computing,” said Dan Olds, partner at Research. “It was time we actually put something together and take a run at some of these benchmarks.”

Single Node “Cyclops” Supercomputer Looks to Set Records

Today the Radio Free HPC podcast team announced announced plans to build what they hope will be the “fastest single-node supercomputer in the world” for the High Performance Conjugate Gradients Benchmark (HPCG). “Codenamed “Project Cyclops”, the single-node supercomputer demonstrates the computational power that individual scientists, engineers, artificial intelligence practitioners, and data scientists can deploy in their offices.”

GPUs Power Near-global Climate Simulation at 1 km Resolution

A new peer-reviewed paper is reportedly causing a stir in the climatology community. “The best hope for reducing long-standing global climate model biases, is through increasing the resolution to the kilometer scale. Here we present results from an ultra-high resolution non-hydrostatic climate model for a near-global setup running on the full Piz Daint supercomputer on 4888 GPUs.”