m8idn.metal-48xl by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | m8idn.metal-48xl |
Description | General purpose [Intel processors] [Instance store volumes] [Network and EBS optimized] Gen8 metal-48xl |
Family | m8idn |
Hw Virt | - |
Status | active |
Observed At | 2026-07-30T12:08:27.933140 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Northern Virgina (US) / us-east-1 | 6.7625 USD/h | 18.3302 USD/h |
Processor
vCPUs | 192 |
CPU Allocation | Dedicated |
CPU Cores | 96 |
CPU Speed | 3.9 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 768 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 11400 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 300 Gbps |
Network Speed Max | 300 Gbps |
Network Storage Speed Baseline | 60 Gbps |
Network Storage Speed Max | 60 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A bare-metal server delivering high-speed local NVMe storage, massive CPU core density, and high-bandwidth networking for enterprise workloads.
Amazon Web Services m8idn.metal-48xl is a bare-metal, general-purpose server instance designed for high-throughput workloads. Powered by dedicated Intel x86_64 processors, it delivers 192 vCPUs across 96 physical cores running at 3.9 GHz, paired with 768.0 GB of system memory. The instance is equipped with 11,400 GB of local NVMe SSD storage and features a baseline network bandwidth of 300 Gbps. This combination of high-speed local storage and high-bandwidth networking makes it highly efficient for data-intensive applications. As a bare-metal configuration, it eliminates virtualization overhead, offering direct hardware access for predictable performance. The server is optimized for enterprise databases, distributed data processing, and network-heavy workloads, though the absence of dedicated GPU hardware limits its suitability for deep learning acceleration.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| m8idn.large | 2 | 8 GiB | 0 |
| m8idn.xlarge | 4 | 16 GiB | 0 |
| m8idn.2xlarge | 8 | 32 GiB | 0 |
| m8idn.4xlarge | 16 | 64 GiB | 0 |
| m8idn.8xlarge | 32 | 128 GiB | 0 |
| m8idn.12xlarge | 48 | 192 GiB | 0 |
| m8idn.16xlarge | 64 | 256 GiB | 0 |
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