If you’re looking for servers that can handle compute-intensive workloads, consider systems using AMD EPYC 75F3 processors. Our hands-on testing focused on two distinct areas of computation, data analytics and machine learning.

Data analytics tasks such as grouping inventory, targeting marketing, or detecting security breaches are computationally intense. We tried one such workload as part of our hands-on testing.

Image recognition, a key component in the world of machine learning, also stresses systems and processors heavily. As machine learning continues to grow in importance for all sorts of businesses, making machine learning workflows more efficient can help many companies. This is especially true in Kubernetes environments, which are common in machine learning setups. In the course of our hands-on testing of servers powered by AMD EPYC 75F3 processors, we saw some strong results.

Dig into our studies and learn how our results can benefit your organization.