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Choosing the Best Data Flow Design for GPU Accelerated Applications

In this sponsored article from our friends over at Supermicro, we discusses how deciding on the correct type of GPU accelerated computation hardware depends on many factors. One particularly important aspect is the data flow patterns across the PCIe bus and between GPUs and Intel® Xeon® Scalable processors. These factors, along with some application insights are explored below.

IBM Announces New AI Hardware Research, Red Hat Collaborations

At the IEEE CAS/EDS AI Compute Symposium, IBM Research introduced new technology and partnerships designed to dynamically run massive AI workloads in hybrid clouds: The company said it is developing analog AI, combining compute and memory in a single device designed to alleviate “the von Neumann bottleneck,” a limitation resulting from traditional hardware architectures in […]

Transform Your Business with the Next Generation of Accelerated Computing

In this white paper, you’ll find a compelling discussion regarding how Supermicro servers optimized for NVIDIA A100 GPUs are solving the world’s greatest HPC and AI challenges. As the expansion of HPC and AI poses mounting challenges to IT environments, Supermicro and NVIDIA are equipping organizations for success, with world-class solutions to empower business transformation. The Supermicro team is continually testing and validating advanced hardware featuring optimized software components to support a rising number of use cases.

Nvidia Dominates MLPerf AI Benchmark Competition Again

Nvidia said it has extended its lead on the MLPerf Benchmark for AI inference with the company’s A100 GPU chip introduced earlier this year. Nvidia won each of the six application tests for data center and edge computing systems in the second version of MLPerf Inference. These tests are an expansion beyond the initial two […]

Getting to Exascale: Nothing Is Easy

In the weeks leading to today’s Exascale Day observance, we set ourselves the task of asking supercomputing experts about the unique challenges, the particularly vexing problems, of building a computer capable of 10,000,000,000,000,000,000 calculations per second. Readers of this publication might guess, given Intel’s trouble producing the 7nm “Ponte Vecchio” GPU for its delayed Aurora system for Argonne National Laboratory, that compute is the toughest exascale nut to crack. But according to the people we interviewed, the difficulties of engineering exascale-class supercomputing run the systems gamut. As we listened to exascale’s daunting litany of technology difficulties….

EuroHPC: 4 Nvidia-based AI Supercomputers Coming from Atos, HPE; 4 More on Way

Four new supercomputers backed by a pan-European initiative will use Nvidia data center accelerators, networks and software for AI and high-performance computing. They include a system dubbed Leonardo, unveiled today at Italy’s CINECA research center, using Nvidia technologies to deliver what the company said is the world’s most powerful AI system. The four systems are […]

Nearly 1000 AMD GPUs Added to NNSA’s ‘Corona’ Cluster for COVID-19 Research

AMD and Supermicro have upgraded the “Corona” cluster at Lawrence Livermore National Laboratory for COVID-19 drug discovery and vaccine research. The addition of nearly 1,000 AMD Radeon Instinct MI50 GPU accelerators to the National Nuclear Security Administration’s Corona system (named for the solar eclipse of 2017) increases the throughput of the cluster from about 4.5 […]

CMKL University, Thailand, Deploys Nvidia and DDN for AI Supercomputing and Research

Oct. 6, 2020 – DDN, provider of AI and data management software and hardware solutions, announced its A3I all-flash and hybrid storage system alongside Nvidia’s DGX POD will help amplify capabilities at CMKL University, Thailand (CMKL), the number-one AI University in Southeast Asia, to support an increasingly diverse set of research projects spanning from machine learning, connected and automated transportation, […]

GTC: A Summary of Today’s Announcements from Nvidia

Here is a summary of today’s news and announcement released by Nvidia at its GPU Technology Conference (GTC), this year held virtually: Data Center and Networking New Family of BlueField DPUs for Center Networking, Storage and Security Performance – The company announced a new kind of processor — the DPU, or data processing unit — featuring DOCA, […]

Nvidia Says It’s Building UK’s Most Powerful Supercomputer, Targeting AI Research in Healthcare

Today at Nvidia’s virtual GTC event, the company announced what it said will be the United Kingdom’s most powerful supercomputer, to be made available by the end of this year to UK healthcare researchers using AI to solve medical challenges, including COVID-19. Powered by 80 Nvidia DGX A100 GPU-based Systems connected by Nvidia Mellanox InfiniBand, […]