April 28, 2022
As the pandemic swept across the world, virtually every research supercomputer lit up to support Covid-19 investigations. But even as the world transformed, the Read more…
January 28, 2022
Computational biology—particularly via combined HPC and AI—has taken the spotlight during the pandemic as pharmaceutical companies and research institutes r Read more…
July 21, 2021
Early use of Cerebras’ CS-1 server and wafer-scale engine (WSE) has demonstrated promising acceleration of machine-learning algorithms, according to participa Read more…
April 20, 2021
Nearly two years since its massive 1.2 trillion transistor Wafer Scale Engine chip debuted at Hot Chips, Cerebras Systems is announcing its second-generation technology (WSE-2), which its says packs twice the... Read more…
August 19, 2020
The company driving wafer scale computing for AI and machine learning applications, Cerebras, has announced a number of system wins in the last 12 months, and c Read more…
May 13, 2020
Seemingly every supercomputer in the world is allied in the fight against the coronavirus pandemic – but not many of them are fresh out of the box. Cerebras S 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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