Performance Intensive Computing

Supermicro is now letting you validate, test and benchmark AI workloads on its AMD-based H13 systems right from your browser. 

The same day that AMD introduced its new AMD Instinct MI300 series accelerators, Supermicro debuted three GPU rackmount servers that use the new AMD accelerated processing units (APUs). One of the three new systems also offers energy-efficient liquid cooling.

Design simulation lets designers and engineers create, test and improve designs of real-world airplanes, cars, medical devices and more while working safely and quickly in virtual environments. This workflow also reduces the need for physical tests and allows designers to investigate more alternatives and optimize their products.

In Part 1 of this 2-part Tech Explainer, we explored the difference between how machine learning and deep learning models are trained and deployed. Now, in Part 2, we’ll get deeper into deep learning to discover how this advanced form of AI is changing the way we work, learn and create.

Liquid cooling can offer big advantages over air cooling. According to a new Supermicro solution guide, these benefits include up to 92% lower electricity costs for a server’s cooling infrastructure, and up to 51% lower electricity costs for an entire data center.

In an interview, Oliver Tennert, director of HPC marketing and post-sales at NEC Germany, explains how the company keeps pace with a fast-developing market.

In an interview, Bernhard Homoelle, head of the HPC competence center at German system integrator SVA, explains how his company serves customers with help from AMD and Supermicro. 

AMD and Supermicro are jointly offering high-performance AI alternatives with superior price and performance.

The ultimate goal of Green Computing is net-zero emissions. To get there, organizations can and must innovate, conducting an ongoing campaign to increase efficiency and reduce waste.

AMD has introduced its EPYC 9X84X series processors, formerly codenamed Genoa-X. The new CPUs are designed specifically for technical workloads, and they support up to 1.1GB of L3 Cache.