c9gd.16xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9gd.16xlarge |
Description | Compute optimized [AWS Graviton processors] [Instance store volumes] Gen9 16xlarge |
Family | c9gd |
Hw Virt | - |
Status | active |
Observed At | 2026-08-15T04:16:33.457034 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.8643 USD/h | 3.4176 USD/h |
Northern Virgina (US) / us-east-1 | 1.022525 USD/h | 3.4176 USD/h |
Oregon (US) / us-west-2 | 1.177725 USD/h | 3.4176 USD/h |
Frankfurt (DE) / eu-central-1 | 1.006533 USD/h | 3.952 USD/h |
Processor
vCPUs | 64 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 64 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 3800 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 34 Gbps |
Network Speed Max | 34 Gbps |
Network Storage Speed Baseline | 24 Gbps |
Network Storage Speed Max | 24 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An arm64 compute-optimized instance featuring sixty-four dedicated cores, balanced memory, and high-capacity local NVMe SSD storage for intensive workloads.
Amazon Web Services c9gd.16xlarge is a compute-optimized server instance powered by 64-core AWS Graviton processors. Utilizing the arm64 architecture, the instance provides 64 dedicated vCPUs running at 3.3 GHz with a single thread per core configuration on the AWS Nitro hypervisor. It features 128.0 GB of system memory, yielding 2.0 GB of RAM per core, alongside 3800 GB of bundled local NVMe SSD storage. Network performance is established at a baseline bandwidth of 34 Gbps. Designed without hyperthreading, this instance delivers predictable compute resources combined with high-capacity local storage. Qualitative cost efficiency is driven by the resource-dense arm64 design, making it suitable for compute-intensive workloads, local database deployments, distributed data processing, and containerized applications requiring direct access to high-speed local NVMe storage.
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.12xlarge | 48 | 96 GiB | 0 |
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