p6-b200.48xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | p6-b200.48xlarge |
Description | GPU accelerated Gen6 48xlarge |
Family | p6-b200 |
Hw Virt | - |
Status | active |
Observed At | 2026-07-21T22:13:14.066273 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Oregon (US) / us-west-2 | 40.302767 USD/h | 113.9328 USD/h |
Ohio (US) / us-east-2 | 41.3625 USD/h | 113.9328 USD/h |
Northern Virgina (US) / us-east-1 | 41.6056 USD/h | 113.9328 USD/h |
Mumbai (IN) / ap-south-1 | 47.74 USD/h | 160.6453 USD/h |
Processor
vCPUs | 192 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 96 |
CPU Speed | 2.4 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 2 TB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Min | 179 GiB |
GPU Memory Total | 1 TB |
GPU Manufacturer | NVIDIA |
GPU Model | B200 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 30400 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 200 Gbps |
Network Speed Max | 200 Gbps |
Network Storage Speed Baseline | 100 Gbps |
Network Storage Speed Max | 100 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An x86_64 server featuring eight NVIDIA B200 GPUs, 1432 GB VRAM, 2048 GB RAM, and 30400 GB NVMe SSD storage.
Amazon Web Services p6-b200.48xlarge is an x86_64 architecture server built on the Nitro hypervisor, featuring 192 dedicated Intel vCPUs running at 2.4 GHz and 2048.0 GB of system memory. Designed for high-density parallel processing, the server integrates eight NVIDIA B200 GPUs with 1432 GB of total VRAM, alongside 30400 GB of local NVMe SSD storage. Network connectivity is supported by a baseline bandwidth of 200 Gbps. This hardware profile prioritizes massive GPU memory and local storage capacity over general-purpose utility, making it a specialized platform for resource-intensive workloads. The dedicated CPU allocation ensures consistent execution without resource sharing. It is structured for large-scale machine learning model training, deep learning inference, and high-performance computing simulations.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|
Similar Servers
| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
|---|