c9g.12xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9g.12xlarge |
Description | Compute optimized [AWS Graviton processors] Gen9 12xlarge |
Family | c9g |
Hw Virt | - |
Status | active |
Observed At | 2026-08-15T12:01:32.111941 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.702233 USD/h | 2.0794 USD/h |
Northern Virgina (US) / us-east-1 | 0.865925 USD/h | 2.0866 USD/h |
Oregon (US) / us-west-2 | 0.811175 USD/h | 2.0866 USD/h |
Frankfurt (DE) / eu-central-1 | 1.021533 USD/h | 2.3726 USD/h |
Processor
vCPUs | 48 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 48 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 96 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 | 25 Gbps |
Network Speed Max | 25 Gbps |
Network Storage Speed Baseline | 18 Gbps |
Network Storage Speed Max | 18 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A dedicated 48-core ARM64 compute-optimized instance designed for high-density processing workloads requiring predictable CPU performance and 25 Gbps networking.
Amazon Web Services c9g.12xlarge is a compute-optimized instance featuring 48 dedicated physical ARM64 cores powered by AWS Graviton processors running at 3.3 GHz. With a 1:1 thread-to-core ratio and 96.0 GB of system memory, the instance delivers a balanced 2.0 GB of RAM per core. It utilizes the AWS Nitro hypervisor to minimize virtualization overhead, ensuring dedicated CPU allocation for demanding tasks. The instance includes 25 Gbps of baseline network bandwidth but lacks local storage and GPU accelerators. This hardware profile is engineered for compute-intensive workloads, including batch processing, scientific modeling, and distributed analytics, offering a resource-dense and cost-efficient alternative to traditional x86 platforms.
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.8xlarge | 32 | 64 GiB | 0 |
| c9g.16xlarge | 64 | 128 GiB | 0 |
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