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 | 2026-07-22T00:53:27.543208 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.759867 USD/h | 2.0794 USD/h |
Oregon (US) / us-west-2 | 0.831 USD/h | 2.0866 USD/h |
Northern Virgina (US) / us-east-1 | 0.870225 USD/h | 2.0866 USD/h |
Frankfurt (DE) / eu-central-1 | 0.892433 USD/h | 2.3726 USD/h |
Processor
vCPUs | 48 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 48 |
CPU Speed | 2.8 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
An arm64 compute-optimized instance featuring forty-eight dedicated cores and a balanced resource profile for high-density processing workloads.
Amazon Web Services c9g.12xlarge is an arm64-based, compute-optimized instance powered by AWS Graviton processors. It features 48 dedicated physical cores and 48 vCPUs running at 2.8 GHz, paired with 96.0 GB of system memory. This configuration establishes a 1:2 vCPU-to-RAM ratio, allocating 2.0 GB of memory per core. Operating on the AWS Nitro hypervisor, the instance provides dedicated CPU resources with one thread per core, eliminating simultaneous multithreading overhead. The instance does not feature local storage or GPU acceleration, but it offers a baseline network bandwidth of 25 Gbps. Designed for qualitative cost efficiency through its custom Arm architecture, the c9g.12xlarge is suited for compute-intensive workloads such as batch processing, media encoding, scientific modeling, and distributed analytics that require high CPU density without massive memory footprints.
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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