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UMass Dartmouth Speeds Research with Hybrid Supercomputer from Microway

UMass Dartmouth’s powerful new cluster from Microway affords the university five times the compute performance its researchers enjoyed previously, with over 85% more total memory and over four times the aggregate memory bandwidth. “The UMass Dartmouth cluster reflects a hybrid design to appeal to a wide array of the campus’ workloads. “Over 50 nodes include Intel Xeon Scalable Processors, DDR4 memory, SSDs and Mellanox ConnectX-5 EDR 100Gb InfiniBand. A subset of systems also feature NVIDIA V100 GPU accelerators. Equally important are a second subset of POWER9 with 2nd Generation NVLink- based- IBM Power Systems AC922 Compute nodes.”

Microway Deploys NVIDIA DGX-2 supercomputers at Oregon State University

Microway has deployed six NVIDIA DGX-2 supercomputer systems at Oregon State University. As an NVIDIA Partner Network HPC Partner of the Year, Microway installed the DGX-2 systems, integrated software, and transferred their extensive AI operational knowledge to the University team. “The University selected the NVIDIA DGX-2 platform for its immense power, technical support services, and the Docker images with NVIDIA’s NGC containerized software. Each DGX-2 system delivers an unparalleled 2 petaFLOPS of AI performance.”

Full Roundup: SC19 Booth Tour Videos from insideHPC

Now that SC19 is behind us, it’s time to gather our booth tour videos in one place. Throughout the course of the show, insideHPC talked to dozens of HPC innovators showcasing the very latest in hardware, software, and cooling technologies.

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.”

Microway Deploys NVIDIA DGX POD-based AI Supercomputer at MSOE

Microway recently deployed an NVIDIA DGX POD-based supercomputer for education and applied research at the Milwaukee School of Engineering (MSOE). Called “Rosie,” the supercomputer forms the centerpiece of the university’s new computer science program and will support an expansion of deep learning and AI education designed to permeate across the institution. “It features three racks of NVIDIA DGX-1 AI systems with NVIDIA V100 Tensor Core GPU accelerators; twenty Microway NumberSmasher Xeon + NVIDIA T4 GPU teaching compute nodes; and access to NGC.”

Microway Deploys NVIDIA DGX-2 Supercomputer at Clemson University

Today Microway announced the company has shipped a NVIDIA DGX-2 supercomputer to Clemson University. “The NVIDIA DGX-2 delivers industry-leading 2 petaFLOPS of AI deep learning performance. The system harnesses the power of 16 NVIDIA Tesla V100 GPUs, fully interconnected with the enhanced-bandwidth NVIDIA NVLink interface to boost the speed of deep learning training.”

Microway Shipping Intel Cascade Lake Systems in Volume

Today Microway announced that the company is now shipping 2nd Generation Intel Xeon Scalable processors in volume, including next-generation NumberSmasher clusters, servers, and WhisperStations. “This new family of processors boosts performance for Microway custom deployments with increased CPU core counts, higher memory capacity and bandwidth, improved clock speeds, and innovative new features for HPC, AI, and Deep Learning. A Microway analysis finds that, without exception, 2nd generation Intel Xeon Scalable CPUs are expected to outperform their predecessors.”

Microway Receives NVIDIA HPC Partner of the Year Award

Today Microway announced that it has been recognized with the Americas 2018 NVIDIA Partner Network (NPN) HPC Partner of the Year Award. Microway was presented with this award at the NPN Reception and Awards Ceremony held during the 2019 NVIDIA GPU Technology Conference (GTC). “Microway lives and breathes high performance computing,” said Craig Weinstein, Vice President of the Americas Partner Organization at NVIDIA. “They’ve been a long-time partner of ours for many years and it has been a pleasure to see them flourish into one of the most well-respected, knowledgeable companies in the industry.”

Architecting the Right System for Your AI Application—without the Vendor Fluff

Brett Newman from Microway gave this talk at the Stanford HPC Conference. “Figuring out how to map your dataset or algorithm to the optimal hardware design is one of the hardest tasks in HPC. We’ll review what helps steer the selection of one system architecture from another for AI applications. Plus the right questions to ask of your collaborators—and a hardware vendor. Honest technical advice, no fluff.”

Microway GPU Systems for HPC & Deep Learning at GTC 2017

In this video from the 2017 GPU Technology Conference, Eliot Eshelman from Microway describes the company’s GPU expertise and wide range of accelerated HPC products. “Since 1982, Microway has delivered high performance computing solutions. We have in-depth experience with demanding Linux-based scientific/engineering applications. Leveraging NVIDIA’s latest Tesla GPUs, our team will design a solution for your specific applications. Our experts ensure your system is delivered fully tested and ready to run!”