c9g.8xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9g.8xlarge |
Description | Compute optimized [AWS Graviton processors] Gen9 8xlarge |
Family | c9g |
Hw Virt | - |
Status | active |
Observed At | 2026-07-22T00:53:27.542962 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.4861 USD/h | 1.3862 USD/h |
Northern Virgina (US) / us-east-1 | 0.546825 USD/h | 1.391 USD/h |
Oregon (US) / us-west-2 | 0.631175 USD/h | 1.391 USD/h |
Frankfurt (DE) / eu-central-1 | 0.636067 USD/h | 1.5818 USD/h |
Processor
vCPUs | 32 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 32 |
CPU Speed | 2.8 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 64 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 17 Gbps |
Network Speed Max | 17 Gbps |
Network Storage Speed Baseline | 12 Gbps |
Network Storage Speed Max | 12 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An arm64 compute-optimized instance featuring thirty-two dedicated cores and sixty-four gigabytes of memory for intensive processing workloads.
Amazon Web Services c9g.8xlarge is a compute-optimized instance featuring 32 dedicated physical cores powered by AWS Graviton processors on the arm64 architecture. Operating at 2.8 GHz with a 1.0 thread-per-core ratio, this instance provides dedicated CPU allocation without simultaneous multithreading. It is equipped with 64.0 GB of system memory, providing 2.0 GB of RAM per core, and relies on the AWS Nitro hypervisor. The instance does not include local storage or GPU hardware, requiring network-attached storage for data persistence. Network performance is supported by a baseline bandwidth of 17 Gbps. Given its high physical core density and compute-to-memory ratio, the c9g.8xlarge is designed for compute-intensive workloads such as batch processing, distributed analytics, and containerized web services that benefit from dedicated arm64 execution resources.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| c9g.medium | 1 | 2 GiB | 0 |
| c9g.large | 2 | 4 GiB | 0 |
| c9g.xlarge | 4 | 8 GiB | 0 |
| c9g.2xlarge | 8 | 16 GiB | 0 |
| c9g.4xlarge | 16 | 32 GiB | 0 |
| c9g.12xlarge | 48 | 96 GiB | 0 |
| c9g.16xlarge | 64 | 128 GiB | 0 |
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