Performance
Intensive
Computing

Join Supermicro online Nov. 10th to watch the unveiling of the company’s new A+ systems -- featuring next-generation AMD EPYC™ processors. They can't tell us any more right now. But you can register for a link to the event by scrolling down and signing-up on this page.

Cut electricity consumption by up to half with AMD's power-saviing EPYC™ processors.

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.

Running heavy AI/ML workloads can be a challenge for any server, but the SuperBlade has extremely fast networking options, upgradability, the ability to run two AMD EPYC™ 7000-series 64-core processors and the Horovod open-source framework for scaling deep-learning training across multiple GPUs.

The AMD Threadripper™ CPU may be a desktop processor, but desktop computing was never like this. The new chipset comes in a variety of multi-core versions, with a maximum of 64 cores running up to 128 threads, 256MB of L3 cache and 2TB of DDR 8-channel memory. The newest Threadrippers are built with AMD’s latest 7 nanometer dies.  

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.

“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.

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.