(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | r9g.2xlarge |
Description | Memory optimized [AWS Graviton processors] Gen9 2xlarge |
Family | r9g |
Hw Virt | - |
Status | active |
Observed At | 2026-10-15T23:58:12.442694 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.124633 USD/h | 0.5137 USD/h |
Oregon (US) / us-west-2 | 0.19525 USD/h | 0.5137 USD/h |
Northern Virgina (US) / us-east-1 | 0.257075 USD/h | 0.5137 USD/h |
Frankfurt (DE) / eu-central-1 | 0.2726 USD/h | 0.6197 USD/h |
Processor
vCPUs | 8 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 8 |
CPU Speed | 3.3 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 64 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 | 4.25 Gbps |
Network Speed Max | 17 Gbps |
Network Storage Speed Baseline | 3 Gbps |
Network Storage Speed Max | 12 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An arm64 memory-optimized instance featuring dedicated Graviton cores and high memory density for memory-bound workloads.
Amazon Web Services r9g.2xlarge is a memory-optimized server instance utilizing custom AWS Graviton processors built on the arm64 architecture. The instance features 8 dedicated physical cores running at 3.3 GHz with a single thread per core, providing 8 vCPUs. It is configured with 64.0 GB of system memory, establishing a high memory-to-core ratio of 8.0 GB per core. Operating on the AWS Nitro hypervisor, the instance offloads virtualization overhead to dedicated hardware. It does not include local storage or GPU accelerators, relying instead on network-attached storage, and provides a baseline network bandwidth of 4 Gbps. The high memory density relative to compute resources makes this instance qualitatively cost-efficient for memory-intensive applications. Appropriate workloads include in-memory databases, caching layers, and data processing tasks that require substantial memory capacity without requiring high-frequency x86 compute resources.
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.4xlarge | 16 | 128 GiB | 0 |
| r9g.8xlarge | 32 | 256 GiB | 0 |
| r9g.12xlarge | 48 | 384 GiB | 0 |
| r9g.16xlarge | 64 | 512 GiB | 0 |
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