Articles
Locating Where to Drill for Oil in Deep Waters with Supermicro SuperServers® and AMD EPYC™ CPUs
- November 26, 2022
- Author: David Strom
Energy company Petrobas, based in Brazil, is using high-performance computing techniques to aid it in its oil and gas exploration, especially in deep-water situations. Petrobas used system integrator Atos to provide more than 250 Supermicro SuperServers. The cluster is ranked 33 on the current top500 list and goes by the name Pegaso.
Choosing the Right AI Infrastructure for Your Needs
AI architecture must scale effectively without sacrificing cost efficiency. One size does not fit all.
Choosing the Right AI Infrastructure for Your Needs
AI architecture must scale effectively without sacrificing cost efficiency. One size does not fit all.
Choosing the Right AI Infrastructure for Your Needs
AI architecture must scale effectively without sacrificing cost efficiency. One size does not fit all.
Choosing the Right AI Infrastructure for Your Needs
AI architecture must scale effectively without sacrificing cost efficiency. One size does not fit all.
Choosing the Right AI Infrastructure for Your Needs
AI architecture must scale effectively without sacrificing cost efficiency. One size does not fit all.
Supermicro H13 Servers Maximize Your High-Performance Data Center
The modern data center must be both highly performant and energy efficient. Massive amounts of data are generated at the edge and then analyzed in the data center.
Supermicro H13 Servers Maximize Your High-Performance Data Center
The modern data center must be both highly performant and energy efficient. Massive amounts of data are generated at the edge and then analyzed in the data center.
Supermicro H13 Servers Maximize Your High-Performance Data Center
The modern data center must be both highly performant and energy efficient. Massive amounts of data are generated at the edge and then analyzed in the data center.
Supermicro H13 Servers Maximize Your High-Performance Data Center
The modern data center must be both highly performant and energy efficient. Massive amounts of data are generated at the edge and then analyzed in the data center.
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