c9g.xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9g.xlarge |
Description | Compute optimized [AWS Graviton processors] Gen9 xlarge |
Family | c9g |
Hw Virt | - |
Status | active |
Observed At | 2026-07-22T00:53:27.542754 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.0534 USD/h | 0.1733 USD/h |
Northern Virgina (US) / us-east-1 | 0.06775 USD/h | 0.1739 USD/h |
Oregon (US) / us-west-2 | 0.0717 USD/h | 0.1739 USD/h |
Frankfurt (DE) / eu-central-1 | 0.108333 USD/h | 0.1977 USD/h |
Processor
vCPUs | 4 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 4 |
CPU Speed | 2.8 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 8 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 | 2.1 Gbps |
Network Speed Max | 15 Gbps |
Network Storage Speed Baseline | 1.5 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 virtual server featuring dedicated physical cores and a balanced memory footprint for efficient batch processing.
Amazon Web Services c9g.xlarge is a compute-optimized server instance powered by custom AWS Graviton arm64 processors. It features 4 dedicated physical cores and 4 vCPUs running at 2.8 GHz, with a 1:1 thread-per-core ratio that eliminates simultaneous multithreading overhead. Managed by the AWS Nitro hypervisor, the instance allocates 8.0 GB of system memory, providing a resource density of 2.0 GB of RAM per core. It does not include local storage or dedicated GPU hardware, and it features a baseline network bandwidth of 2 Gbps. This hardware profile delivers a cost-efficient, compute-focused resource allocation suited for distributed microservices, batch processing, and lightweight containerized applications.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| c9g.medium | 1 | 2 GiB | 0 |
| c9g.large | 2 | 4 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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