ND40rs_v2 by Microsoft Azure
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | azure |
Server ID | Standard_ND40rs_v2 |
Name | ND40rs_v2 |
API Reference | Standard_ND40rs_v2 |
Description | NDSv2 family [RDMA capable] [Premium Storage capable] [Intel processor] 40 vCPUs |
Family | NDSv2 |
Hw Virt | - |
Status | active |
Observed At | 2026-06-23T23:36:36.846936 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
East US (US) / eastus | 4.0715 USD/h | 22.032 USD/h |
West US 2 (US) / westus2 | 4.0715 USD/h | 22.032 USD/h |
South Central US (US) / southcentralus | 4.8857 USD/h | 26.438 USD/h |
West Europe (NL) / westeurope | 5.0868 USD/h | 27.526 USD/h |
Southeast Asia (SG) / southeastasia | 5.6349 USD/h | 30.492 USD/h |
Processor
vCPUs | 40 |
Hypervisor | Microsoft Hyper-V |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 672 GiB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Min | 30 GiB |
GPU Memory Total | 238 GiB |
GPU Model | V100 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 2970 GB |
Storages |
|
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An accelerated virtual machine featuring eight dedicated GPUs, massive system memory, and low-latency RDMA networking for high-performance computing workloads.
Microsoft Azure ND40rs_v2 is an NDSv2-family virtual machine optimized for GPU-accelerated workloads and high-performance computing. Built on an Intel x86_64 architecture and managed by Microsoft Hyper-V, it features 40 dedicated vCPUs and 672.0 GB of system memory, yielding 16.8 GB of RAM per core. The server is equipped with eight NVIDIA V100 GPUs providing a total of 238 GB of VRAM, alongside 2970 GB of local storage. With support for Premium Storage and RDMA networking, this instance is designed for clustered, high-throughput environments. The hardware profile makes it highly suitable for deep learning training, complex scientific simulations, and memory-intensive database operations.
Economics
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