c9g.2xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9g.2xlarge |
Description | Compute optimized [AWS Graviton processors] Gen9 2xlarge |
Family | c9g |
Hw Virt | - |
Status | active |
Observed At | 2026-08-15T06:55:23.337684 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.109767 USD/h | 0.3466 USD/h |
Oregon (US) / us-west-2 | 0.12475 USD/h | 0.3478 USD/h |
Northern Virgina (US) / us-east-1 | 0.148925 USD/h | 0.3478 USD/h |
Frankfurt (DE) / eu-central-1 | 0.200833 USD/h | 0.3954 USD/h |
Processor
vCPUs | 8 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 8 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 16 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 | 4.25 Gbps |
Network Speed Max | 17 Gbps |
Network Storage Speed Baseline | 3 Gbps |
Network Storage Speed Max | 12 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A compute-optimized arm64 instance featuring dedicated physical cores and balanced memory for efficient, high-density containerized and batch workloads.
Amazon Web Services c9g.2xlarge is a compute-optimized instance powered by custom AWS Graviton arm64 processors running on the Nitro hypervisor. It features 8 dedicated physical cores and 8 vCPUs operating at 3.3 GHz, with a single thread per core. The instance is configured with 16.0 GB of system memory, providing a ratio of 2.0 GB of RAM per core. It does not include local storage, relying instead on network-attached storage, and delivers a baseline network bandwidth of 4 Gbps. Designed for resource efficiency and high compute density, the c9g.2xlarge is optimized for workloads that require dedicated CPU resources without the overhead of hyperthreading. It is well-suited for applications such as web serving, containerized microservices, batch processing, and arm64-native development tasks.
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.4xlarge | 16 | 32 GiB | 0 |
| c9g.8xlarge | 32 | 64 GiB | 0 |
| c9g.12xlarge | 48 | 96 GiB | 0 |
| c9g.16xlarge | 64 | 128 GiB | 0 |
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