The Santa Clara, California-based company launched the 2nd generation AMD EPYC processors which deliver performance leadership over a huge number of enterprise, cloud and HPC (High-performance computing) workloads at a recent launch event, where AMD was joined by data center partners and customers.

These processors feature 64 “Zen 2” core in leading-edge 7 NM process technology to furnish amazing performance and at the same time helping reduce the total cost of ownership by up to 50% over innumerable workloads. These AMD EPYC processors are designed for modern data-center workloads, providing customers features to help unleash performance and to redefine economics in virtualizations, cloud, HPC and enterprise applications. Providing amazing performance that redefines data economics. 2nd generation AMD EPYC processors offers 83% better Java application performance, 43% better SAP SD 2 tier than the rest and provide amazing performance on real-time analytics.

“Today, we set a new standard for the modern data centre with the launch of our 2nd Gen AMD EPYC processors that deliver record-setting performance and significantly lower total cost of ownership across a broad set of workloads,” shared Lisa Su, AMD President and CEO. “Adoption of our new leadership server processors is accelerating with multiple new enterprise, cloud and HPC customers choosing EPYC processors to meet their most demanding server computing needs.”

For high performance computing, 2nd generation AMD EPYC processor offers amazing floating-point performance, dynamic RAM and input-output bandwidth to power up HPC workloads, providing two times better performance in computational fluid dynamics and up to 72% higher performance structural analysis. At the same event, Twitter and Google announced the deployment of 2nd generation AMD EPYC processors. HPE and Lenovo declare the availability of new platforms.

“AMD 2nd Gen EPYC processors would help us continue to do what we do best in our data centers: innovate,” outlined Bart Sano, Google Vice President of Engineering. “Its scalable compute, memory and Input-Output performance would expand our ability to drive innovation forward in our infrastructure and would give Google Cloud customers the flexibility to choose the best VM for their workloads.”

Image Source- NikkieAsia