c9gd.large by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9gd.large |
Description | Compute optimized [AWS Graviton processors] [Instance store volumes] Gen9 large |
Family | c9gd |
Hw Virt | - |
Status | active |
Observed At | 2026-07-22T03:50:18.719820 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.0183 USD/h | 0.1068 USD/h |
Oregon (US) / us-west-2 | 0.030925 USD/h | 0.1068 USD/h |
Northern Virgina (US) / us-east-1 | 0.03375 USD/h | 0.1068 USD/h |
Frankfurt (DE) / eu-central-1 | 0.050433 USD/h | 0.1235 USD/h |
Processor
vCPUs | 2 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 2 |
CPU Speed | 2.8 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 4 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 118 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 1 Gbps |
Network Speed Max | 15 Gbps |
Network Storage Speed Baseline | 0.76 Gbps |
Network Storage Speed Max | 12 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An ARM64 compute-optimized instance featuring dedicated physical cores and high-speed local NVMe SSD storage for efficient, localized workloads.
Amazon Web Services c9gd.large is a compute-optimized instance utilizing custom AWS Graviton ARM64 processors. Running on the AWS Nitro hypervisor, it provides 2 dedicated physical cores at 2.8 GHz with a 1:1 thread-to-core ratio. The hardware configuration includes 4.0 GB of memory, yielding 2.0 GB per core, alongside a bundled 118 GB local NVMe SSD instance store volume. This local storage provides high-speed, low-latency data access directly on the host. Network performance is anchored by a baseline bandwidth of 1 Gbps, and the instance does not include complimentary public IPv4 addresses. The c9gd.large is structured for cost-efficient compute tasks that require fast local scratch storage, making it suitable for distributed microservices, lightweight database workloads, batch processing, and application caching.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| c9gd.medium | 1 | 2 GiB | 0 |
| c9gd.xlarge | 4 | 8 GiB | 0 |
| c9gd.2xlarge | 8 | 16 GiB | 0 |
| c9gd.4xlarge | 16 | 32 GiB | 0 |
| c9gd.8xlarge | 32 | 64 GiB | 0 |
| c9gd.12xlarge | 48 | 96 GiB | 0 |
| c9gd.16xlarge | 64 | 128 GiB | 0 |
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