Performance Intensive Computing

“AMD EPYC™ processors are now a part of the world’s hyperscale data centers,” said Lisa Su, AMD’s CEO. Meta/Facebook is now building its servers with powerful third-generation AMD EPYC™ CPUs.

The Budapest Institute for Computer Science and Control (known as SZTAKI) 

The Budapest Institute for Computer Science and Control (known as SZTAKI) 

Lodestar is a complete management suite for developing artificial intelligence-based computer vision models from video data. It can handle the navigation and curation of a native video stream without any preparation. Lodestar annotates and labels video, and using artificial intelligence, creates searchable, structured data.

Lodestar is a complete management suite for developing artificial intelligence-based computer vision models from video data. It can handle the navigation and curation of a native video stream without any preparation. Lodestar annotates and labels video, and using artificial intelligence, creates searchable, structured data.

A white paper from IDC projects a new role for IT leaders in preparing the infrastructure required to properly power performance-intensive computing (PIC) for enterprise workloads, such as data-driven insights, AI/machine learning, big data, modeling and simulation and more. Get the full white paper to learn best practices and avoid pitfalls when implementing performance-intensive computing infrastructure.

CERN is trying to discover what happened in the nanoseconds following the Big Bang that created all matter. It is manipulating data flows with custom AMD circuitry that slices up the Large Hadron Collider data into smaller pieces. “You need to get all the data pieces together in a single location because only then can you do a meaningful calculation on this stuff,” said Niko Neufeld, a CERN project leader. The effort entails rapid data processing, high-bandwidth access to lots of memory and very speedy I/O among many servers.

CERN is trying to discover what happened in the nanoseconds following the Big Bang that created all matter. It is manipulating data flows with custom AMD circuitry that slices up the Large Hadron Collider data into smaller pieces. “You need to get all the data pieces together in a single location because only then can you do a meaningful calculation on this stuff,” said Niko Neufeld, a CERN project leader. The effort entails rapid data processing, high-bandwidth access to lots of memory and very speedy I/O among many servers.

Using six nanometer processes and the CDNA2 graphics dies, AMD has created the third generation of GPU accelerators, which have more than twice the performance of previous GPU processors and deliver 181 teraflops of mixed precision peak computing power.

Using six nanometer processes and the CDNA2 graphics dies, AMD has created the third generation of GPU accelerators, which have more than twice the performance of previous GPU processors and deliver 181 teraflops of mixed precision peak computing power.