r8idn.16xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | r8idn.16xlarge |
Description | Memory optimized [Intel processors] [Instance store volumes] [Network and EBS optimized] Gen8 16xlarge |
Family | r8idn |
Hw Virt | - |
Status | active |
Observed At | 2026-08-06T08:31:34.839690 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Oregon (US) / us-west-2 | 2.62345 USD/h | 7.503 USD/h |
Northern Virgina (US) / us-east-1 | 3.70715 USD/h | 7.503 USD/h |
Ohio (US) / us-east-2 | 6.9803 USD/h | 7.503 USD/h |
Aragón (ES) / eu-south-2 | 3.773233 USD/h | 8.3565 USD/h |
Dublin (IE) / eu-west-1 | 3.34405 USD/h | 8.3565 USD/h |
Frankfurt (DE) / eu-central-1 | 6.659767 USD/h | 8.9408 USD/h |
Tokyo (JP) / ap-northeast-1 | 4.4913 USD/h | 9.1203 USD/h |
Processor
vCPUs | 64 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 32 |
CPU Speed | 3.9 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 512 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 3800 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 100 Gbps |
Network Speed Max | 100 Gbps |
Network Storage Speed Baseline | 20 Gbps |
Network Storage Speed Max | 20 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A memory-optimized instance featuring high-speed local NVMe storage and high network bandwidth for data-intensive enterprise workloads.
Amazon Web Services r8idn.16xlarge is a memory-optimized instance featuring 64 vCPUs and 32 physical cores powered by an Intel x86_64 processor running at 3.9 GHz. Built on the Nitro hypervisor, it delivers 512.0 GB of system memory, translating to 8.0 GB per core. The instance includes 3800 GB of local NVMe SSD storage and a baseline network bandwidth of 100 Gbps. This combination of high-capacity memory, fast local storage, and high-speed networking makes it highly efficient for resource-dense workloads. It is designed for memory-intensive databases, large-scale data processing, and enterprise applications requiring high-throughput, low-latency data access.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| r8idn.large | 2 | 16 GiB | 0 |
| r8idn.xlarge | 4 | 32 GiB | 0 |
| r8idn.2xlarge | 8 | 64 GiB | 0 |
| r8idn.4xlarge | 16 | 128 GiB | 0 |
| r8idn.8xlarge | 32 | 256 GiB | 0 |
| r8idn.12xlarge | 48 | 384 GiB | 0 |
| r8idn.24xlarge | 96 | 768 GiB | 0 |
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