At the “Data Center and AI Technology Premiere,” AMD announced the addition of two new, workload optimized processors to the 4th Gen EPYC™ CPU portfolio. By leveraging the new “Zen 4c” core architecture, the AMD EPYC 97X4 cloud native-optimized data center CPUs further extend the EPYC 9004 Series of processors to deliver the thread density and scale needed for leadership cloud native computing. Additionally, AMD announced the 4th Gen AMD EPYC processors with AMD 3D V-Cache™ technology, ideally suited for the most demanding technical computing workloads.
“In an era of workload optimized compute, our new CPUs is pushing the boundaries of what is possible in the data center, delivering new levels of performance, efficiency, and scalability,” said Forrest Norrod, executive vice president and general manager, Data Center Solutions Business Group, AMD. “We closely align our product roadmap to our customers’ unique environments and each offering in the 4th Gen AMD EPYC family of processors is tailored to deliver compelling and leadership performance in general purpose, cloud native or technical computing workloads.”
Advancing Cloud Native Computing
Cloud native workloads are a fast-growing class of applications designed with cloud architecture in mind and are developed, deployed and updated rapidly. The AMD EPYC 97X4 processors, with up to 128 cores, deliver up to 3.7x throughput performance for key cloud native workloads compared to Ampere1. Additionally, 4th Gen AMD EPYC processors, with “Zen 4c” cores, provide customers up to 2.7x better energy efficiency2 and support up to 3x more containers per server3to drive cloud native applications at the greatest scale.
At the “Data Center and AI Technology Premiere,” AMD was joined by Meta who discussed how these processors are well suited for their mainstay applications such as Instagram, WhatsApp and more; how Meta is seeing impressive performance gains with 4th Gen AMD EPYC 97X4 processors compared to 3rd Gen AMD EPYC across various workloads, while offering substantial TCO improvements over as well, and how AMD and Meta optimized the EPYC CPUs for Meta’s power-efficiency and compute-density requirements.
