Rapid advancements in artificial intelligence (AI) have created a new frontier in business innovation. Significant progress in computing power, data storage and algorithms have enabled the development of more sophisticated AI systems. Improved software deployment processes like containerization and orchestration will advance AI and machine learning (ML) applications in both reach and scope. For example, now developers can build, deploy and manage AI/ML workloads in a scalable and efficient manner with generally available solutions like Red Hat OpenShift Data Science and NVIDIA AI-ready Enterpr
Last week in the AMD EPYC 9684X review were many benchmarks looking at how this flagship Genoa-X processor compares to various AMD EPYC and Intel Xeon processors. The EPYC 9684X delivers terrific generational uplift compared to Milan-X, offers significant advantages over the EPYC 9004 Genoa processors thanks to the 1.1GB of L3 cache per CPU that proves very beneficial in HPC and AI workloads, and the 96-core / AVX-512 / 3D V-Cache combination far surpassed the Intel performance in the vast majority of benchmarks. As some follow-up benchmarks, today is looking precisely at the performance difference caused by the 3D V-Cache presence by looking at the EPYC 9684X performance when the 3D V-Cache feature was enabled and then the tests repeated when disabled.