c9gd.12xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9gd.12xlarge |
Description | Compute optimized [AWS Graviton processors] [Instance store volumes] Gen9 12xlarge |
Family | c9gd |
Hw Virt | - |
Status | active |
Observed At | 2026-07-22T03:50:18.720733 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Northern Virgina (US) / us-east-1 | 0.802225 USD/h | 2.5632 USD/h |
Ohio (US) / us-east-2 | 0.754 USD/h | 2.5632 USD/h |
Oregon (US) / us-west-2 | 0.900625 USD/h | 2.5632 USD/h |
Frankfurt (DE) / eu-central-1 | 0.8471 USD/h | 2.964 USD/h |
Processor
vCPUs | 48 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 48 |
CPU Speed | 2.8 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 96 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 2850 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 25 Gbps |
Network Speed Max | 25 Gbps |
Network Storage Speed Baseline | 18 Gbps |
Network Storage Speed Max | 18 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An ARM64 compute-optimized platform featuring dedicated physical cores and high-capacity local NVMe SSD storage for intensive data processing.
Amazon Web Services c9gd.12xlarge is a compute-optimized, ARM64-based server instance powered by custom AWS Graviton processors. It features 48 dedicated physical cores running at 2.8 GHz with no hyper-threading, paired with 96.0 GB of system memory. This configuration establishes a 2.0 GB per core memory ratio, optimized for compute-intensive tasks. The instance includes 2850 GB of local NVMe SSD storage, providing high-speed, low-latency local data access. Network performance is supported by a baseline bandwidth of 25 Gbps, managed through the AWS Nitro hypervisor. This hardware profile delivers a cost-efficient balance of dedicated ARM compute power and high-speed local storage, making it suitable for distributed data processing, containerized microservices, and high-performance web serving workloads.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| c9gd.medium | 1 | 2 GiB | 0 |
| c9gd.large | 2 | 4 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.16xlarge | 64 | 128 GiB | 0 |
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