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Radio Free HPC Recaps SC17 in Denver

In this podcast, the Radio Free HPC team describes the highlights of SC17 in Denver. Highlights includes the debute ARM hardware for HPC, a Rasberry Pie Cluster, and pervasive liquid cooling.

Dell EMC Brings Machine Learning to Mainstream Enterprises

This week at SC17, Dell EMC announced new machine learning and deep learning solutions, continuing the company’s work to bring high performance computing and data analytics capabilities to mainstream enterprises worldwide. “When you think about what this means for industries like financial services or personalized medicine, the possibilities are endless and exciting.”

SC17 Video Replay: Jensen Huang from NVIDIA on the AI Revolution in HPC

We are excited to bring our readers this special livestream from NVIDIA at SC17 in Denver. Tune in right here for a live presentation from NVIDIA CEO Jensen Huang entitled, “Accelerated Computing: The Path Forward.” It all starts at Monday at 3:00pm Mountain time.

University of North Texas turns to Bright Computing for Efficient Cluster Management

Today Bright Computing, a global leader in cluster and cloud infrastructure automation software, is proud to announce that the University of North Texas (UNT) has integrated Bright Cluster Manager into its HPC environment for research support. The University uses this 350-node cluster to optimize efficiency for researchers working on groundbreaking discoveries in a variety of domains material science, engineering, chemistry, and physics. Bright Cluster Manager helps UNT’s University Information Technology department successfully provision, monitor and manage heterogeneous clusters.

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.”

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.”

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.”

NVIDIA Tesla V100 GPUs Power New TYAN Server

Today TYAN showcased their latest GPU-optimized platforms that target the high performance computing and artificial intelligence sectors at the GPU Technology Conference in Munich. “TYAN’s new GPU computing platforms are designed to provide efficient parallel computing for the analytics of vast amounts of data. By incorporating NVIDIA’s latest Tesla V100 GPU accelerators, TYAN provides our customers with the power to accelerate both high performance and cognitive computing workloads” said Danny Hsu, Vice President of MiTAC Computing Technology Corporation’s TYAN Business Unit.