HPE GreenLake: The HPC Cloud That Comes To You
Sponsored By its very nature, high performance computing is an expensive proposition compared to other kinds of computing. …
Sponsored By its very nature, high performance computing is an expensive proposition compared to other kinds of computing. …
Speaking very generally, investment in capability-class supercomputers by national governments tends to scale with gross domestic product. …
When you come to the crossroads and make a big decision about selling your soul to the devil to get what you want, it is supposed to be a dramatic event, the stuff that legends are made of. …
It happens all the time. There is a performance problem, and everyone blames the network. …
Even before it launched a $1.3 billion acquisition of Cray back in May, Hewlett Packard Enterprise has had exascale aspirations. …
There are a lot of different kinds of machine learning, and some of them are not based exclusively on deep neural networks that learn from tagged text, audio, image, and video data to analyze and sometimes transpose that data into a different form. …
With so many chip startups targeting the future of deep learning training and inference, one might expect it would be far easier for tech giant Hewlett Packard Enterprise to buy versus build. …
When Hewlett Packard Enterprise bought supercomputer maker SGI back in August 2016 for $275 million, it had already invested years in creating its own “DragonHawk” chipset to build big memory Superdome X systems that were to be the follow-ons to its PA-RISC and Itanium Superdome systems. …
The exascale effort in the U.S. got a fresh injection with R&D funding set to course through six HPC vendors to develop scalable, reliable, and efficient architectures and components for new systems in the post-2020 timeframe. …
Much has been made of the ability of The Machine, the system with the novel silicon photonics interconnect and massively scalable shared memory pool being developed by Hewlett Packard Enterprise, to already address more main memory at once across many compute elements than many big iron NUMA servers. …
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