Performance
Intensive
Computing

Check out the latest analysis and forecasts from top IT market researchers. 

This is the last in a four-part series on blockchain’s many facets, including being the primary pillar of the emerging Web3.

This is the third in a four-part series on blockchain’s many facets, including being the primary pillar of the emerging Web3.

This is the second in a four-part series on blockchain’s many facets, including being the primary pillar of the emerging Web3.

This is the first story in a four-part series on blockchain’s many facets, including being the primary pillar of the emerging Web3. 

The Student Cluster Computing challenge made its 16th appearance at the SuperComputer 22 (SC22) event in Dallas. The two student teams that were running AMD EPYC™ CPUs and AMD Instinct™ GPUs were the two teams that aced the Linpack benchmark. That's the test used to determined the TOP500 supercomputers in the world.

To compete in the marketplace, enterprises are increasingly employing performance-intensive tools and applications like machine learning, artificial intelligence, data-driven insights and automation to differentiate their products and services. In doing so, they may be unintentionally backing into performance-intensive computing because these technologies are computationally and/or data intensive.

The CPU package is configurable at time of purchase with various options that you can match up to the specific characteristics of your workloads. Ask yourself the three questions the story poses.

AI architecture must scale effectively without sacrificing cost efficiency. One size does not fit all.

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.