p5e.48xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | p5e.48xlarge |
Description | GPU accelerated [Extra storage or memory] Gen5 48xlarge |
Family | p5e |
Hw Virt | - |
Status | active |
Observed At | 2026-08-05T11:33:52.999092 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Sao Paulo (BR) / sa-east-1 | 13.5941 USD/h | - |
Jakarta (ID) / ap-southeast-3 | 19.8593 USD/h | - |
Oregon (US) / us-west-2 | 25.0174 USD/h | - |
Ohio (US) / us-east-2 | 25.1918 USD/h | - |
Stockholm (SE) / eu-north-1 | 26.6784 USD/h | - |
Sydney (AU) / ap-southeast-2 | 82.2848 USD/h | - |
Processor
vCPUs | 192 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 96 |
CPU Speed | 3.6 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | AMD |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 2 TB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Min | 141 GiB |
GPU Memory Total | 1 TB |
GPU Manufacturer | NVIDIA |
GPU Family | Hopper |
GPU Model | H200 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 30400 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 100 Gbps |
Network Speed Max | 100 Gbps |
Network Storage Speed Baseline | 80 Gbps |
Network Storage Speed Max | 80 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A high-density acceleration platform combining eight Hopper GPUs, massive system memory, and extensive local NVMe SSD storage for parallel computing.
Amazon Web Services p5e.48xlarge is a high-density, GPU-accelerated instance built on the Nitro hypervisor. The system features an AMD x86_64 processor with 192 dedicated vCPUs operating at 3.6 GHz, paired with 2048.0 GB of system memory. Acceleration is driven by eight NVIDIA Hopper H200 GPUs delivering 1128 GB of total VRAM. For high-speed local data access, the instance is equipped with 30400 GB of local NVMe SSD storage, supported by a baseline network bandwidth of 100 Gbps. This hardware profile is designed for parallelized computational tasks, including large-scale deep learning, artificial intelligence model training, and complex scientific simulations. The high density of GPU memory and local storage makes it suitable for data-intensive workloads that require minimal latency between storage and accelerators.
Economics
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