c9g.medium by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9g.medium |
Description | Compute optimized [AWS Graviton processors] Gen9 medium |
Family | c9g |
Hw Virt | - |
Status | active |
Observed At | 2026-08-15T00:52:28.258812 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.0077 USD/h | 0.0433 USD/h |
Oregon (US) / us-west-2 | 0.0102 USD/h | 0.0435 USD/h |
Northern Virgina (US) / us-east-1 | 0.0118 USD/h | 0.0435 USD/h |
Frankfurt (DE) / eu-central-1 | 0.017833 USD/h | 0.0494 USD/h |
Processor
vCPUs | 1 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 1 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 2 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 | 0.55 Gbps |
Network Speed Max | 15 Gbps |
Network Storage Speed Baseline | 0.38 Gbps |
Network Storage Speed Max | 12 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A dedicated single-core arm64 compute instance with a lean memory profile, designed for lightweight utility workloads and microservices.
Amazon Web Services c9g.medium is a compute-optimized instance powered by custom AWS Graviton arm64 processors. Running on the Nitro hypervisor, the instance provides 1 dedicated physical core and 1 vCPU operating at 3.3 GHz. It features 2.0 GB of system memory, establishing a 1:2 vCPU-to-RAM ratio. The hardware configuration includes no local storage and no graphics processing units, relying entirely on network-attached storage. Network connectivity is provisioned with a baseline bandwidth of 1 Gbps, and no complimentary public IPv4 addresses are included. This instance offers a resource-efficient profile for lightweight, single-threaded compute tasks, microservices, and containerized utility workloads that require dedicated CPU allocation without the overhead of larger memory capacities.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| 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.12xlarge | 48 | 96 GiB | 0 |
| c9g.16xlarge | 64 | 128 GiB | 0 |
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