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Podcast: Enterprises go HPC at GPU Technology Conference

In this podcast, the Radio Free HPC team looks at news from the GPU Technology Conference. “Dan has been attending GTC since well before it became the big and important conference that it is today. We get a quick update on what was covered: the long keynote, automotive and robotics, the Mellanox acquisition, how a growing fraction of enterprise applications will be AI.”

AMD Powers Corona Cluster for HPC Analytics at Livermore

Lawrence Livermore National Lab has deployed a 170-node HPC cluster from Penguin Computing. Based on AMD EPYC processors and Radeon Instinct GPUs, the new Corona cluster will be used to support the NNSA Advanced Simulation and Computing (ASC) program in an unclassified site dedicated to partnerships with American industry. “Even as we do more of our computing on GPUs, many of our codes have serial aspects that need really good single core performance. That lines up well with AMD EPYC.”

Arm A64fx and Post-K: A Game-Changing CPU & Supercomputer

Satoshi Matsuoka from RIKEN gave this talk at the HPC User Forum in Santa Fe. “Post-K is the flagship next generation national supercomputer being developed by Riken and Fujitsu in collaboration. Post-K will have hyperscale class resource in one exascale machine, with well more than 100,000 nodes of sever-class A64fx many-core Arm CPUs, realized through extensive co-design process involving the entire Japanese HPC community.”

Scaling Deep Learning for Scientific Workloads on the #1 Summit Supercomputer

Jack Wells from ORNL gave this talk at the GPU Technology Conference. “HPC centers have been traditionally configured for simulation workloads, but deep learning has been increasingly applied alongside simulation on scientific datasets. These frameworks do not always fit well with job schedulers, large parallel file systems, and MPI backends. We’ll share benchmarks between native compiled versus containers on Power systems, like Summit, as well as best practices for deploying learning and models on HPC resources on scientific workflows.”

Podcast: Intel to power Anthos Google Cloud Platform

In this Chip Chat podcast, Paul Nash from the Google Cloud Platform discusses the industry trends impacting IaaS and how Google Cloud Platform together with Intel are driving innovation in the cloud. “The two companies will collaborate on Anthos, a new reference design based on the 2nd-Generation Intel Xeon Scalable processor and an optimized Kubernetes software stack that will deliver increased workload portability to customers who want to take advantage of hybrid cloud environments. Intel will publish the production design as an Intel Select Solution, as well as a developer platform.”

Qualcomm to bring power-efficient AI Inference to the Cloud

Today Qualcomm announced that it is bringing the Company’s artificial intelligence expertise to the cloud with the Qualcomm Cloud AI 100. “Our all new Qualcomm Cloud AI 100 accelerator will significantly raise the bar for the AI inference processing relative to any combination of CPUs, GPUs, and/or FPGAs used in today’s data centers,” said Keith Kressin, senior vice president, product management, Qualcomm Technologies, Inc.

WekaIO HPC Storage Solutions come to Central Europe

Today WekaIO announced the opening of an office in Germany, along with the appointment of Kim Gardner as Regional Sales Manager. Gardner, a seasoned storage veteran, will continue the rapid market expansion of Matrix in Germany, Austria, and Switzerland (DACH) that has been seen in the US and other markets. “We have many customer deployments in artificial intelligence (AI), high-performance computing (HPC), finance, media & entertainment, and genomics in the US and UK,” said Richard Dyke, VP of Sales at WekaIO. “The opportunities inherent in Germany’s fully-fledged AI and HPC sector made this the next logical target for us and prompted our expansion into this fertile market.”

NVIDIA Powers New Lab for AI Radiology

Today NVIDIA and the American College of Radiology announced a collaboration to enable thousands of radiologists nationwide to create and use AI for diagnostic radiology in their own facilities, using their own data, to meet their own clinical needs. “NVIDIA builds platforms that democratize the use of AI and we purpose-built the Clara AI toolkit to give every radiologist the opportunity to develop AI tools that are customized to their patients and their clinical practice,” said Kimberly Powell, vice president of Healthcare at NVIDIA. “Our successful pilot with the ACR is the first of many that will make AI more accessible to the entire field of radiology.”

Excelero NVMesh comes to Lenovo ThinkSystems

Excelero is bringing its NVMesh software-defined block storage solutions to Lenovo customers and channel partners worldwide. “Already proven in Lenovo deployments at SciNet, Canada’s largest supercomputing facility, and at a London-based machine learning firm, Excelero’s NVMesh provides an optimal choice for web-scale deployments and in Big Data uses in concert with Lenovo’s ThinkSystem portfolio.”

Video: ATOM Consortium to Accelerate AI in Drug Discovery with NVIDIA

The Public-private consortium ATOM has announced today that it is collaborating with NVIDIA to scale ATOM’s AI-driven drug discovery platform. “Scientists at ATOM have created a predictive model development pipeline that calls upon large datasets to build and test predictive machine learning models which consider pharmacokinetics, safety, developability, and efficacy. NVIDIA will provide additional resources that will enable this pipeline to be run at increased scale and speed.”