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Supermicro Ai Supercomputer Sports 20 NVIDIA Tesla T4 Accelerators in 4U

Supermicro’s new SuperServer 6049GP-TRT provides the superior performance required to accelerate the diverse applications of modern AI. “We see the combination of NVIDIA TensorRT and the new Turing architecture based T4 GPU Accelerator as the ideal combination for these new demanding and latency-sensitive workloads and are aggressively leveraging them in our GPU system product line.”

Cray XC50 Supercomputer coming to Institute for Basic Science in South Korea

Today Cray announced that the Institute for Basic Science (IBS) has awarded the Company a contract valued at $9 million for a Cray XC50 supercomputer and Cray ClusterStor L300F storage system. The new supercomputer, paired with the scale-out Lustre storage solution, will provide high-performance capabilities for IBS to expand research in climate physics and work toward its goal of improving decadal earth system forecasts and long-term future climate projections.

Can we use Machine Learning to Learn about Machines?

In this special guest feature, Ellexus CEO Rosemary Francis writes that the convergence of HPC and Ai is already changing the landscape in the world of supercomputing. “It is only as machines get faster that they are able to get cleverer. This means that more and more industries are becoming interested in making supercomputers even more powerful and investment in the exascale goal will increase.”

Imagine HPC with the Power of the Cloud

Running HPC in the cloud enables organizations to select and deploy an optimal set of services for their unique applications, and to pay only for what they use. This sponsored post from AWS explores how the cloud HPC market is growing at a significant rate and accelerating HPC innovation. “With HPC in the cloud, computational scientists and commercial HPC users can gain rapid access to resources they need without a burdensome procurement process.”

Cray Supercomputer Powers Japan’s Railway Technical Research Institute

Today Cray announced that it has delivered and installed a Cray XC50 supercomputer and a ClusterStor L300 storage system at Railway Technical Research Institute (RTRI), the research and development arm for Japan Railways Group. The supercomputer will be used to perform railway research in the areas of applying new technologies and materials, enhancing simulation techniques, analyzing railway-specific phenomena and improving evaluation methods.

Versity Open Sources Next Generation Archiving Filesystem

Today Versity Software announced that it has open sourced ScoutFS, a new scale out archiving filesystem. “ScoutFS is the first GPL archiving file system ever released, creating an inherently safer and more user-friendly option for storing archival data where accessibility over very large time scales and the removal of vendor-specific risk is a key consideration.”

Survey Foretells Explosive Growth in Machine Learning Projects Over Next Two Years

Over at the Univa Blog, Gary Tyreman writes that the company sponsored an industry-wide survey to better understand what key challenges our HPC users are currently facing that are preventing them from moving their machine learning (ML) projects into production. “Our goal is to use this data to help guide our customers and recommend the right set of tools and migration options needed to accelerate value in machine learning.”

5 of 6 Gordon Bell Finalists use NVIDIA Volta Tensor Core GPUs

Over at the NVIDIA Blog, Geetika Gupta writes that the company’s powerful GPUs are being used by five of the six Gordon Bell Prize finalists. Just announced by ACM, these world-leading researchers did their work on the new NVIDIA GPU-accelerated Summit system at Oak Ridge National Laboratory and Sierra system at Lawrence Livermore National Laboratory.

Supermicro HGX-2 Cloud Server to Sport 2 Petaflops of Ai Horsepower

Today Supermicro announced that the company’s upcoming NVIDIA HGX-2 cloud server platform will be the world’s most powerful system for artificial intelligence and HPC capable of performing at 2 PetaFLOPS. “Our new HGX-2 system will enable efficient training of complex models. It combines sixteen Tesla V100 32GB SXM3 GPUs connected via NVLink and NVSwitch to work as a unified 2 PetaFlop accelerator with half a terabyte of aggregate GPU memory to deliver unmatched compute power.”

The Right Terminations for Reliable Liquid Cooling in HPC

Liquid cooling for HPCs is increasingly common. With expensive electronics at stake, understanding the components in liquid cooling systems is critical. This article details what to look for when seeking the optimal termination for connectors—a way to help ensure leak-free performance.