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Compute Optimized

Compute optimized instance type is suitable for computing-intensive applications that utilize processors. This instance can be used for batch processing workloads, media transcoding, high-performance web servers, high-performance computing (HPC), scientific modeling, dedicated game servers and ad server engines, machine learning inference, and other computing-intensive applications.

  • Applicable type: c2a

c2a

c2a instance is powered by the 3rd generation AMD EPYC 7003 series processors and are designed for computing-intensive workloads.

Hardware specifications
  • Up to 3.6GHz 3rd generation AMD EPYC processor (AMD EPYC 7643)
  • Up to 25Gbps network bandwidth
  • Instance sizes supporting up to 96 vCPUs and 192GiB memory
  • A 2:1 Memory to vCPU ratio across all sizes
  • Support for AMD instruction sets (AVX, AVX2)
Details
Instance sizevCPUMemory (GiB)Network bandwidth (Gbps)
c2a.large24Up to 10
c2a.xlarge48Up to 10
c2a.2xlarge816Up to 10
c2a.4xlarge1632Up to 10
c2a.8xlarge3264Up to 10
c2a.12xlarge489612.5
c2a.16xlarge6412812.5
c2a.24xlarge96   192    25
NUMA topology

Non-Uniform Memory Access (NUMA) architecture allows each CPU to access its own allocated memory (local memory). Using NUMA architecture can enable high scalability as it allows multiple processors to share memory.

c2a instance has the following NUMA topology depending on the instance size.

Instance sizeNumber of NUMA domainsCores per NUMA domain
c2a.large1         1
c2a.xlarge12
c2a.2xlarge14
c2a.4xlarge18
c2a.8xlarge28
c2a.12xlarge212
c2a.16xlarge216
c2a.24xlarge224
NUMA topology architecture
c2a.large

Image. c2a.large NUMA topology

c2a.xlarge

Image. c2a.xlarge NUMA topology

c2a.2xlarge

Image. c2a.2xlarge NUMA topology

c2a.4xlarge

Image. c2a.4xlarge NUMA topology

c2a.8xlarge

Image. c2a.8xlarge NUMA topology

c2a.12xlarge

Image. c2a.12xlarge NUMA topology

c2a.16xlarge

Image. c2a.16xlarge NUMA topology

c2a.24xlarge

Image. c2a.24xlarge NUMA topology