c9g.8xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9g.8xlarge |
Description | Compute optimized [AWS Graviton processors] Gen9 8xlarge |
Family | c9g |
Hw Virt | - |
Status | active |
Observed At | 2026-08-15T14:53:42.185760 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.5256 USD/h | 1.3862 USD/h |
Northern Virgina (US) / us-east-1 | 0.488525 USD/h | 1.391 USD/h |
Oregon (US) / us-west-2 | 0.539825 USD/h | 1.391 USD/h |
Frankfurt (DE) / eu-central-1 | 0.7388 USD/h | 1.5818 USD/h |
Processor
vCPUs | 32 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 32 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 64 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 | 17 Gbps |
Network Speed Max | 17 Gbps |
Network Storage Speed Baseline | 12 Gbps |
Network Storage Speed Max | 12 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A dedicated arm64 compute-optimized instance featuring thirty-two physical cores and sixty-four gigabytes of memory for intensive processing workloads.
Amazon Web Services c9g.8xlarge is a compute-optimized instance built on the arm64 architecture and powered by AWS Graviton processors. Running on the Nitro hypervisor, it features 32 dedicated physical cores with a 3.3 GHz clock speed and a 1:1 thread-to-core ratio. The hardware configuration includes 64.0 GB of system memory, providing 2.0 GB of RAM per core. This instance does not include local storage or dedicated GPU hardware, relying instead on network-attached storage and delivering a baseline network bandwidth of 17 Gbps. The arm64 architecture offers high resource density and qualitative cost efficiency for compute-heavy workloads, though it requires compatible software compilation. It is designed for workloads such as batch processing, media encoding, scientific modeling, and distributed compute 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.2xlarge | 8 | 16 GiB | 0 |
| c9g.4xlarge | 16 | 32 GiB | 0 |
| c9g.12xlarge | 48 | 96 GiB | 0 |
| c9g.16xlarge | 64 | 128 GiB | 0 |
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