c9g.24xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9g.24xlarge |
Description | Compute optimized [AWS Graviton processors] Gen9 24xlarge |
Family | c9g |
Hw Virt | - |
Status | active |
Observed At | 2026-08-16T16:36:05.023552 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.9242 USD/h | 4.1587 USD/h |
Northern Virgina (US) / us-east-1 | 1.542425 USD/h | 4.1731 USD/h |
Oregon (US) / us-west-2 | 1.55745 USD/h | 4.1731 USD/h |
Frankfurt (DE) / eu-central-1 | 1.5837 USD/h | 4.7453 USD/h |
Processor
vCPUs | 96 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 96 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 192 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 | 50 Gbps |
Network Speed Max | 50 Gbps |
Network Storage Speed Baseline | 36 Gbps |
Network Storage Speed Max | 36 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An arm64 compute-optimized instance featuring ninety-six dedicated cores and fifty gigabits per second network bandwidth for intensive parallel workloads.
Amazon Web Services c9g.24xlarge is a compute-optimized instance built on the arm64 architecture and powered by AWS Graviton processors. It features 96 dedicated physical cores and 96 vCPUs running at 3.3 GHz, providing a 1:1 physical-to-virtual core ratio without hyperthreading. The system is equipped with 192.0 GB of memory, establishing a 2.0 GB per core allocation. Running on the AWS Nitro hypervisor, the instance delivers a baseline network bandwidth of 50 Gbps. It does not include local storage or dedicated GPU hardware. This hardware profile is designed for compute-intensive workloads such as batch processing, media encoding, scientific modeling, and distributed microservices that benefit from high-density arm64 processing and dedicated CPU resources.
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.8xlarge | 32 | 64 GiB | 0 |
| c9g.12xlarge | 48 | 96 GiB | 0 |
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