Performance Intensive Computing

AMD’s announcement of its fourth generation EPYC 9004 Series processors includes major advances in how these chipsets are designed and produced. Part 2 of 4.

AMD announces its fourth-generation EPYC™ CPUs. The new EPYC 9004 Series processors demonstrate advances in hybrid, multi-die architecture by decoupling core and I/O processes. Part 1 of 4.

Organizations around the world are requiring new options for their next-generation computing environments. Mid-size organizations, in particular, are facing increasing pressure to deliver cost-effective, high-performance solutions within their hyperconverged infrastructures (HCI).

For the first time, challengers can run their designs using thousands of AMD EPYC™ core CPUs, enabling artists to develop the most complex animations and the most amazing visualizations. “The contestants have access to this professional-grade render farm just like the pros. It levels the playing field,” said James Knight, the director of entertainment for AMD. “You can make scenes that weren’t possible before on your own PC,” he said.

Weka’s file system, WekaFS, unifies your entire data lake into a shared global namespace where you can more easily access and manage trillions of files stored in multiple locations from one directory.

Azure HBv3 series virtual machines (VMs) are optimized for HPC applications, such as fluid dynamics, explicit and implicit finite element analysis, weather modeling, seismic processing, and various simulation tasks. HBv3 VMs feature up to 120 Third-Generation AMD EPYC™ 7v73X-series CPU cores with more than 450 GB of RAM.

The Supermicro SuperBlade's advantage for the Red Hat OCP environment is that it supports a higher-density infrastructure and lower-latency network configuration, along with benefits from reduced cabling, power and shared cooling features. SuperBlades feature multiple AMD EPYC™ processors using fast DDR4 3200MHz memory modules.

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.