c9g.metal-48xl by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | c9g.metal-48xl |
Description | Compute optimized [AWS Graviton processors] Gen9 metal-48xl |
Family | c9g |
Hw Virt | - |
Status | active |
Observed At | 2026-08-15T09:35:55.923186 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.8317 USD/h | 8.3174 USD/h |
Oregon (US) / us-west-2 | 1.326175 USD/h | 8.3462 USD/h |
Northern Virgina (US) / us-east-1 | 2.6619 USD/h | 8.3462 USD/h |
Frankfurt (DE) / eu-central-1 | 1.814267 USD/h | 9.4906 USD/h |
Processor
vCPUs | 192 |
CPU Allocation | Dedicated |
CPU Cores | 192 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 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 | 100 Gbps |
Network Speed Max | 100 Gbps |
Network Storage Speed Baseline | 72 Gbps |
Network Storage Speed Max | 72 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A high-density, bare-metal ARM64 server featuring 192 dedicated cores and 100 Gbps networking for compute-intensive, highly parallel workloads.
Amazon Web Services c9g.metal-48xl is a compute-optimized, bare-metal server powered by 64-bit ARM-based AWS Graviton processors. The instance features 192 dedicated physical cores and 192 vCPUs operating at 3.3 GHz, with a single thread per core to prevent resource sharing. It is configured with 384.0 GB of system memory, yielding a ratio of 2.0 GB of RAM per core. The server does not include local storage, relying instead on network-attached storage, but provides a high-capacity baseline network bandwidth of 100 Gbps. This hardware profile delivers high compute density and energy efficiency inherent to the ARM64 architecture. The c9g.metal-48xl is designed for highly parallelized, compute-bound workloads, including high-performance computing, batch processing, large-scale containerized deployments, and distributed data analytics.
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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