June 16, 2022
The long-troubled, hotly anticipated MareNostrum 5 supercomputer finally has a vendor: Atos, which will be supplying a system that includes both Nvidia and Inte Read more…
May 25, 2022
Nvidia is lining up Arm-based server platforms for a diverse range of HPC, AI and cloud applications. The new systems employ Nvidia’s custom Grace Arm CPUs in Read more…
March 22, 2022
At GTC22 today, Nvidia unveiled its new H100 GPU, the first of its new ‘Hopper’ architecture, along with a slew of accompanying configurations, systems and Read more…
March 22, 2022
The battle for datacenter dominance keeps getting hotter. Today, Nvidia kicked off its spring GTC event with new silicon, new software and a new supercomputer. Speaking from a virtual environment in the Nvidia Omniverse 3D collaboration and simulation platform, CEO Jensen Huang introduced the new Hopper GPU architecture and the H100 GPU... Read more…
April 12, 2021
Today at Nvidia’s annual spring GPU Technology Conference (GTC), held virtually once more due to the pandemic, the company unveiled its first ever Arm-based CPU, called Grace in honor of the famous American programmer Grace Hopper. The announcement of the new... Read more…
April 22, 2015
Nearly one year after the Department of Energy inked a $70 million contract for the exascale-relevant Cori system, news of a second, smaller system has come Read more…
June 5, 2013
Researchers with the Lawrence Berkeley National Laboratory and Cray squeezed more I/O from the NERSC Cray XE6 "Hopper" supercomputer than ever before in a plasma physics simulation involving more than a trillion particles. The work paved the way for even bigger, exascale HDF5 workloads in the future, and yielded a scientific discovery as a bonus. Read more…
March 25, 2013
Hooper, the Opteron-powered Cray system at NERSC has been tasked with helping scientists on the Planck space telescope project filter ancient light against sensor signals to help astronomers understand the.... Read more…
For many organizations, decisions about whether to run HPC workloads in the cloud or in on-premises datacenters are less all-encompassing and more about leveraging both infrastructures strategically to optimize HPC workloads across hybrid environments. From multi-clouds to on-premises, dark, edge, and point of presence (PoP) datacenters, data comes from all directions and in all forms while HPC workloads run in every dimension of modern datacenter schemes. HPC has become multi-dimensional and must be managed as such.
This white paper explores several of these new strategies and tools for optimizing HPC workloads across all dimensions to achieve breakthrough results in Microsoft Azure.
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