The high core density of these processors makes it possible for the C2D VMs to provide the largest VM sizes at Google Cloud. As well, because of the EPYC processor’s performance for compute focused workloads, Google Cloud’s C2D VMs will be able to provide up to 30 percent better performance for targeted workloads compared to previous generation EPYC based VMs at a comparable size.
The use of AMD EPYC processors for HPC and compute focused workloads continues to expand as more cloud service providers, like Google Cloud, are using EPYC to address demanding and intense workloads.
“AMD EPYC processors continue to showcase their capabilities for HPC and compute focused workloads, whether running drug simulations for the latest vaccines, exploring the cosmos, or helping design critical hardware and electronics for the future of industry,” said Lynn Comp, corporate vice president, Cloud Business, AMD. “The Google Cloud C2D instances with AMD EPYC processors will enable Google Cloud customers to run some of their most complex and intense workloads with ease, helping them design their products or solve complex problems, faster.”
“Google Cloud customers want instances that support complex, performance-sensitive workloads, such as high-performance computing. VMs powered by these processors enable the performance and features that are needed for these customers,” said Nirav Mehta, director of product management, Google Cloud. “This is now our third virtual machine family powered by 3rd Gen AMD EPYC processors, and we are excited to continue to grow our EPYC portfolio.”
C2D is generally available today and is set to expand to additional regions in the coming months. Current locations are US-central (Iowa), Asia-southeast (Singapore), US-east (South Carolina), US-east (North Virginia), Asia-east (Taiwan), and Europe-west (Netherlands).
