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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, […]

Radio Free HPC: RISC-V Deep Dive, CTO Interview

In this special edition of Radio Free HPC, we interview Mark Himelstein, RISC-V International Chief Technical Officer, looking at RISC-V from all angles, discussing how the open source ISA is used today and how it might be used tomorrow. And there’s a lot to consider. The European Processor Initiative has selected RISC-V as their accelerator of choice for their first exascale machines. The first system is expected in the 2022-2023 timeframe and will couple RISC-V accelerators with Arm processors.

Composable Supercomputing Optimizes Hardware for AI-driven Data Calculation

In this sponsored post, our friend John Spiers, Chief Strategy Officer at Liqid, discusses how composable disaggregated infrastructure (CDI) solutions are emerging as a solution to roadblocks to advancing the mission of high-performance computing. CDI orchestration software dynamically composes GPUs, NVMe SSDs, FPGA, networking, and storage-class memory to create software-defined bare metal servers on demand. This enables unparalleled resource utilization to deliver previously impossible performance for AI-driven data analytics.

Accelerate Your Applications with ROCm

In this sponsored post by our friends over at AMD, discuss how the ROCm platform is designed so that a wide range of developers can develop accelerated applications. An entire eco-system has been created, allowing developers to focus on developing their leading-edge applications.

Accelerate Your Development of GPU Based Innovative Applications

In this sponsored post by our friends over at AMD, we take a deep into how GPUs have become an essential component of innovative organizations that require the highest performing clusters, whether one server or thousands of servers. Many High-Performance Computing (HPC) and Machine Learning (ML) applications have demonstrated tremendous performance gains by using one or more GPUs in conjunction with powerful CPUs. Over 25% of the Top500 list of the most powerful supercomputers on this planet use accelerators, specifically GPUs, to achieve teraflop and petaflop speeds.