(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | r9g.24xlarge |
Description | Memory optimized [AWS Graviton processors] Gen9 24xlarge |
Family | r9g |
Hw Virt | - |
Status | active |
Observed At | 2026-10-16T03:18:00.361366 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 1.512533 USD/h | 6.1642 USD/h |
Oregon (US) / us-west-2 | 2.417075 USD/h | 6.1642 USD/h |
Northern Virgina (US) / us-east-1 | 2.158575 USD/h | 6.1642 USD/h |
Frankfurt (DE) / eu-central-1 | 1.489167 USD/h | 7.4362 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 | 768 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 | 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 memory-optimized instance featuring ninety-six dedicated cores and 768 GB of RAM for memory-intensive enterprise workloads.
Amazon Web Services r9g.24xlarge is an ARM-based, memory-optimized server instance powered by AWS Graviton processors. It features 96 dedicated physical cores running at 3.3 GHz with a single thread per core, eliminating hyper-threading overhead. The instance is equipped with 768.0 GB of system memory, providing a high resource density of 8.0 GB of RAM per core. Network connectivity is delivered via the AWS Nitro hypervisor with a baseline bandwidth of 50 Gbps. This instance does not include local storage or GPU accelerators. The custom ARM64 architecture offers a qualitatively cost-efficient profile for memory-heavy deployments. It is suited for large-scale databases, in-memory caching, and data analytics workloads requiring substantial memory capacity and dedicated 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.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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