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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.

OSS Showcases New HDCA Platforms with Volta GPUs at GTC Europe

At GTC Europe this week, One Stop Systems (OSS) will exhibit two of the most powerful GPU accelerators for data scientists and deep learning researchers, the CA16010 and SCA8000. NVIDIA GPU computing is helping researchers and engineers take on some the world’s hardest challenges,” said Paresh Kharya, group product marketing manager of Accelerated Computing at NVIDIA. “One Stop Systems’ customers can now tap into the power of our Volta architecture to accelerate their deep learning and high performance computing workloads.”

Fujitsu to Build 37 Petaflop AI Supercomputer for AIST in Japan

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.”

Advanced Clustering Technologies Deploys Lawrence Supercomputer at University of South Dakota

Today Advanced Clustering Technologies announced the deployment of a new supercomputer at the University of South Dakota. cluster. The machine is named “Lawrence” after Nobel Laureate and University of South Dakota alumnus E. O. Lawrence. “Lawrence makes it possible for us to accelerate scientific progress while reducing the time to discovery,” said Doug Jennewein, the University’s Director of Research Computing. “University researchers will be able to achieve scientific results not previously possible, and our students and faculty will become more engaged in computationally assisted research.”

NVIDIA Tesla GPUs Come to Oracle Bare Metal Cloud

Over at the NVIDIA Blog, Kristin Bryson writes that the Oracle Bare Metal Cloud now offers Tesla P100 GPUs for technical computing. “The move underscores growing demand for public-cloud access to our GPU computing platform from an increasingly wide set of enterprise users. Oracle’s massive customer base means that a broad range of businesses across many industries will have access to accelerated computing to harness the power of AI, accelerated analytics and high performance computing.”

Supermicro steps up with Optimized Systems for NVIDIA Tesla V100 GPUs

Today Supermicro announced support for NVIDIA Tesla V100 PCI-E and V100 SXM2 GPUs on its industry leading portfolio of GPU server platforms. With our latest innovations incorporating the new NVIDIA V100 PCI-E and V100 SXM2 GPUs in performance-optimized 1U and 4U systems with next-generation NVLink, our customers can accelerate their applications and innovations to help solve the world’s most complex and challenging problems.”

Penguin Computing Launches NVIDIA Tesla V100-based Servers

Today Penguin Computing announced strategic support for the field of artificial intelligence through availability of its servers based on the highly-advanced NVIDIA Tesla V100 GPU accelerator, powered by the NVIDIA Volta GPU architecture. “Deep learning, machine learning and artificial intelligence are vital tools for addressing the world’s most complex challenges and improving many aspects of our lives,” said William Wu, Director of Product Management, Penguin Computing. “Our breadth of products covers configurations that accelerate various demanding workloads – maximizing performance, minimizing P2P latency of multiple GPUs and providing minimal power consumption through creative cooling solutions.”

Server Vendors Announce NVIDIA Volta Systems for Accelerated AI

Today NVIDIA and its systems partners Dell EMC, Hewlett Packard Enterprise, IBM and Supermicro today unveiled more than 10 servers featuring NVIDIA Volta architecture-based Tesla V100 GPU accelerators — the world’s most advanced GPUs for AI and other compute-intensive workloads. “Volta systems built by our partners will ensure that enterprises around the world can access the technology they need to accelerate their AI research and deliver powerful new AI products and services,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA.

No speed limit on NVIDIA Volta with rise of AI

In this special guest feature, Brad McCredie from IBM writes that launch of Volta GPUs from NVIDIA heralds a new era of AI. “We’re excited about the launch of NVIDIA’s Volta GPU accelerators. Together with the NVIDIA NVLINK “information superhighway” at the core of our IBM Power Systems, it provides what we believe to be the closest thing to an unbounded platform for those working in machine learning and deep learning and those dealing with very large data sets.”