(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | r9g.12xlarge |
Description | Memory optimized [AWS Graviton processors] Gen9 12xlarge |
Family | r9g |
Hw Virt | - |
Status | active |
Observed At | 2026-10-15T20:53:00.867166 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.836267 USD/h | 3.0821 USD/h |
Northern Virgina (US) / us-east-1 | 0.938275 USD/h | 3.0821 USD/h |
Oregon (US) / us-west-2 | 1.057275 USD/h | 3.0821 USD/h |
Frankfurt (DE) / eu-central-1 | 1.2416 USD/h | 3.7181 USD/h |
Processor
vCPUs | 48 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 48 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 0 |
Accelerator Memory Min | 0 MiB |
Accelerator Memory Total | 0 MiB |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
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 memory-optimized server featuring forty-eight dedicated physical cores and three hundred eighty-four gigabytes of RAM for memory-intensive workloads.
Amazon Web Services r9g.12xlarge is a memory-optimized instance powered by custom AWS Graviton arm64 processors. It features 48 dedicated physical cores running at 3.3 GHz with a single thread per core, paired with 384.0 GB of system memory to establish an 8.0 GB per core ratio. Operating on the AWS Nitro System hypervisor, the instance provides 25 Gbps of baseline network bandwidth. It contains no local storage or GPU hardware, relying entirely on network-attached storage. The arm64 architecture offers qualitative cost-efficiency benefits through optimized power consumption and high resource density. This server is designed for memory-intensive workloads such as in-memory databases, caching layers, and large-scale data analytics that do not require local NVMe storage or hardware acceleration.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| r9g.medium | 1 | 8 GiB | 0 |
| r9g.large | 2 | 16 GiB | 0 |
| r9g.xlarge | 4 | 32 GiB | 0 |
| r9g.2xlarge | 8 | 64 GiB | 0 |
| r9g.4xlarge | 16 | 128 GiB | 0 |
| r9g.8xlarge | 32 | 256 GiB | 0 |
| r9g.16xlarge | 64 | 512 GiB | 0 |
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