(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | r9g.16xlarge |
Description | Memory optimized [AWS Graviton processors] Gen9 16xlarge |
Family | r9g |
Hw Virt | - |
Status | active |
Observed At | 2026-10-15T20:53:00.867440 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 1.071767 USD/h | 4.1094 USD/h |
Northern Virgina (US) / us-east-1 | 1.390725 USD/h | 4.1094 USD/h |
Oregon (US) / us-west-2 | 1.368775 USD/h | 4.1094 USD/h |
Frankfurt (DE) / eu-central-1 | 1.685133 USD/h | 4.9574 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 | 512 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 | 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 memory-optimized virtual instance with sixty-four dedicated cores and five hundred twelve gigabytes of RAM for memory-intensive workloads.
Amazon Web Services r9g.16xlarge is a memory-optimized server instance powered by custom AWS Graviton processors. Built on the arm64 architecture, it features 64 dedicated physical cores running at 3.3 GHz with a single thread per core, ensuring consistent compute performance. The instance provides 512.0 GB of system memory, translating to 8.0 GB of RAM per core, making it highly suitable for memory-intensive applications. It does not include local storage, relying instead on network-attached storage, and offers a baseline network bandwidth of 34 Gbps. Virtualized via the AWS Nitro hypervisor, the r9g.16xlarge delivers high resource density and qualitative cost efficiency inherent to Arm-based hardware. This instance is designed for workloads such as in-memory databases, large-scale data analytics, and enterprise applications requiring substantial memory capacity.
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.12xlarge | 48 | 384 GiB | 0 |
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