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A Closer Look at the D.A.V.I.D.E. Supercomputer at CINECA in Italy

In this video, researchers from CINECA in Italy describe how their new D.A.V.I.D.E. supercomputer powers science and engineering. “Developed by E4 Engineering, D.A.V.I.D.E. (Development for an Added Value Infrastructure Designed in Europe) is an Energy Aware Petaflops Class High Performance Cluster based on Power Architecture and coupled with NVIDIA Tesla Pascal GPUs with NVLink.”

Radio Free HPC Looks at the New Power9, Titan V, and Snapdragon 845

In this podcast, Radio Free HPC Looks at the New Power9, Titan V, and Snapdragon 845 devices for AI and HPC. “Built specifically for compute-intensive AI workloads, the new POWER9 systems are capable of improving the training times of deep learning frameworks by nearly 4x allowing enterprises to build more accurate AI applications, faster.”

NVIDIA TITAN V GPU Brings Volta to the Desktop for AI Development

Today NVIDIA introduced their new high end TITAN V GPU for desktop PCs. Powered by the Volta architecture, TITAN V excels at computational processing for scientific simulation. Its 21.1 billion transistors deliver 110 teraflops of raw horsepower, 9x that of its predecessor, and extreme energy efficiency. “With TITAN V, we are putting Volta into the hands of researchers and scientists all over the world. I can’t wait to see their breakthrough discoveries.”

Video: IBM Launches POWER9 Nodes for the World’s Fastest Supercomputers

In this video from SC17, Adel El Hallak from IBM unveils the POWER9 servers that will form the basis of the world’s fastest “Coral” supercomputers coming to ORNL and LLNL. “In addition to arming the world’s most powerful supercomputers, IBM POWER9 Systems is designed to enable enterprises around the world to scale unprecedented insights, driving scientific discovery enabling transformational business outcomes across every industry.”

Consumer GPUs come to NVIDIA GPU Cloud for AI Research

Today NVIDIA announced that hundreds of thousands of AI researchers using desktop GPUs can now tap into the power of NVIDIA GPU Cloud. “With GPU-optimized software now available to hundreds of thousands of researchers using NVIDIA desktop GPUs, NGC will be a catalyst for AI breakthroughs and a go-to resource for developers worldwide.”

Video: OpenACC Eases GPU Programming for HPC at SC17

In this video from SC17, Sunita Chandrasekaran from OpenACC.org and Stan Posey from NVIDIA describe how OpenACC eases GPU programming for HPC. “At SC17, OpenACC.org announced milestones highlighting OpenACC’s broad adoption in weather and climate models that simulate the Earth’s atmosphere, including one of this year’s Gordon Bell finalist. Additionally, the organization announced their hackathon momentum and the new  OpenACC 2.6 specification.”

Liqid steps up with Composable Infrastructure for HPC at SC17

In this video, Jay Breakstone and Sumit Puri from Liqid describe the company’s innovative composable infrastructure technology for HPC. “Liqid Grid enables once-static infrastructure to scale on demand to effectively manage the explosion of data associated with cloud, enterprise, HPC and AI, as well as other emerging, high-value, data-intensive applications.”

IBM Readies Power9 Coral Supercomputers at SC17

In this video from SC17, Ken King describes how new Power9 compute nodes will power the next generation of the world’s most powerful Coral supercomputers at ORNL and LLNL. “We’re pleased to announce that we are delivering on our project, with our next-generation IBM Power Systems with NVIDIA Volta GPUs being deployed at Oak Ridge and Lawrence Livermore National Labs.”

Radio Free HPC wraps up the SC17 Student Cluster Competition

In this podcast, the Radio Free HPC team goes over the results of the SC17 Student Cluster Competition. This year, Nanyang Technological University from Singapore took the Top Prize. “In this competition, student teams design and build small clusters, with hardware and software vendor partners, learn designated scientific applications, apply optimization techniques for their chosen architectures, and compete in a non-stop, 48-hour challenge, at the SC conference.”

NVIDIA and Nuance to Advance AI for Radiology

Today Nuance Communications announced that they are working together to bring the power of machine learning to radiologists and data scientists working across the entire healthcare system. “We stand on the edge of a new age in radiology, where artificial intelligence and machine learning will become a necessity in every radiologist’s essential toolkit,” said Dr. Luciano Prevedello, Division Chief of Medical Imaging Informatics at The Ohio State University Wexner Medical Center. “It is critical for the state of AI adoption and its potential to improve patient outcomes and operations that AI-based tools are more than just available – they must be valuable, validated and valued by the institution of radiology.”