Powered by a 2nd Gen AMD EPYC processor running at frequencies up to 3.3Ghz, the Amazon EC2 C5a instances are the sixth instance family at AWS powered by AMD EPYC processors. By using the 2nd Gen AMD EPYC processor, the C5a instance delivers leadership x86 price-performance for a broad set of compute-intensive workloads including batch processing, distributed analytics, data transformations, log analytics and web applications.
Available in eight configurations, with up to 96 virtual CPUs, the Amazon EC2 C5a instances take advantage of high core counts from the AMD EPYC processor to offer the lowest cost per x86 virtual CPU in the Amazon EC2 portfolio. This provides customers with an additional choice for optimal performance and cost across a variety of compute intensive workloads, including video game development and hosting which take advantage of the high CPU core counts and memory ratios provided by C5a.
“The 2nd Gen AMD EPYC processors deliver the levels of performance required for our customers to confidently bring compute-focused workloads to the cloud,” said Forrest Norrod, senior vice president and general manager, Data Center and Embedded Solutions Group, AMD. “With the new Amazon EC2 C5a instances, we are strategically expanding our presence and capabilities with AWS. Even more importantly, together we are helping to continuously improve the end user cloud experience.”
“Together, AMD and AWS offer customers great flexibility and choice of compute options to help them optimize both performance and cost for a wide range of workloads,” said David Brown, Vice President, Amazon EC2, Amazon Web Services, Inc. “Since launching Amazon EC2 R5a, M5a, and T3a instances powered by 1st gen AMD EPYC processors, we’ve seen customers move many general purpose and memory optimized workloads to take advantage of the AMD EPYC processor capabilities and 10% lower prices over comparable instances. With the availability of Amazon EC2 C5a instances based on the 2nd gen AMD EPYC processors, customers now have a new option that enables better performance and cost for a variety of compute intensive workloads, as well.”
