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Microway Showcases HPC & AI Solutions at SC19

In this video from SC19, Eliot Eshelman from Microway describes the company’s innovative solutions for HPC & AI. As Deep Learning enters the mainstream, NVIDIA DGX solutions from Microway are uniquely positioned to provide the best performance when training neural networks and running production-scale classification workloads. Also new is the new AI – ANYWHERE solution, which provides complete AI-ready infrastructure, within a self-contained, high density, modular DDC data center platform.”

NVIDIA Clara Federated Learning to Deliver AI to Hospitals

NVIDIA Clara FL uses distributed training across multiple hospitals to develop robust AI models without sharing patient data. It runs on the recently announced NVIDIA EGX intelligent edge computing platform, which securely provisions the federated server and the collaborating clients, delivering everything required to begin a federated learning project, including application containers and the initial AI model.

STFC Machine Learning Group Deploys Elastic NVMe Storage to Power GPU Servers

At SC19, Excelero announced that the Science and Technology Facilities Council (STFC) has deployed a new HPC architecture to support computationally intensive analysis including machine learning and AI-based workloads using the NVMesh elastic NVMe block storage solution. “Done in partnership with Boston Limited, the deployment is enabling researchers from STFC and the Alan Turing Institute to complete machine learning training tasks that formerly took three to four days, in just one hour – and other foundational scientific computations that researchers formerly could not perform.”

NVIDIA Launches GPU-Accelerated Reference Design for Arm Servers

At SC19, NVIDIA introduced a reference design platform that enables companies to quickly build GPU-accelerated Arm®-based servers, driving a new era of high performance computing for a growing range of applications in science and industry. The new reference design platform — consisting of hardware and software building blocks — responds to growing demand in the HPC community to harness a broader range of CPU architectures. It allows supercomputing centers, hyperscale-cloud operators and enterprises to combine the advantage of NVIDIA’s accelerated computing platform with the latest Arm-based server platforms.

Deploy AI Anywhere with ScaleMatrix DDC – No Data Center Required

At SC19, ScaleMatrix and its DDC subsidiary announced that it is collaborating with NVIDIA and Microway to deliver SKUs for an 8 petaFLOPS and a 13 petaFLOPS ‘Supercomputer Anywhere’ solution using its DDC S-Series cabinets.

DDC Cabinet Technology, purpose built for scaling dense computing, enables a modular ‘deploy anywhere at any scale’ approach to computing through its S-Series platform, a pressurized ‘clean room quality’ air conditioning system combined with a closed-loop, water-chilled liquid cooling system, all encased in a ruggedized cabinet complete with biometric security, air filtration, and fire suppression capabilities. The modular S-Series cabinets can be erected anywhere power and a roof exists.”

How Deep Learning is Driving New Science

In this special guest feature, Robert Roe from Scientific Computing World looks at the development of deep learning and its impact on scientific applications. “In general, it depends on the use case but you can think of two cases where AI is useful. The first case is to solve problems that are hard to solve in a rule-based way, which is a similar domain as you may have outside science for speech recognition or image recognition.”

NVIDIA Announces GPU-Accelerated Supercomputer on Azure

At SC19, NVIDIA announced the availability of a new kind of GPU-accelerated supercomputer in the cloud on Microsoft Azure. “Built to handle the most demanding AI and high performance computing applications, the largest deployments of Azure’s new NDv2 instance rank among the world’s fastest supercomputers, offering up to 800 NVIDIA V100 Tensor Core GPUs interconnected on a single Mellanox InfiniBand backend network.”

Dell Technologies Introduces New Solutions to Advance HPC and AI Innovation

At SC19 this week, Dell Technologies is introducing several new solutions, reference architectures and portfolio advancements all designed to simplify and accelerate customers’ HPC and AI efforts. “There’s a lot of value in the data that organizations collect, and HPC and AI are helping organizations get the most out of this data,” said Thierry Pellegrino, vice president of HPC at Dell Technologies. “We’re committed to building solutions that simplify the use and deployment of these technologies for organizations of all sizes and at all stages of deployment.”

Video: NVIDIA Magnum IO Moves Big Data Faster than Previously Possible

Today NVIDIA introduced NVIDIA Magnum IO, a suite of software to help data scientists and AI and high performance computing researchers process massive amounts of data in minutes, rather than hours. “Optimized to eliminate storage and input/output bottlenecks, Magnum IO delivers up to 20x faster data processing for multi-server, multi-GPU computing nodes when working with massive datasets to carry out complex financial analysis, climate modeling and other HPC workloads.”

GPU-Powered Turbocharger coming to JUWELS Supercomputer at Jülich

The Jülich Supercomputing Centre is adding a high-powered booster module to their JUWELS supercomputer. Designed in cooperation with Atos, ParTec, Mellanox, and NVIDIA, the booster module is equipped with several thousand GPUs designed for extreme computing power and artificial intelligence tasks. “With the launch of the booster in 2020, the computing power of JUWELS will be increased from currently 12 to over 70 petaflops.”