ND96asr_v4 by Microsoft Azure
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | azure |
Server ID | Standard_ND96asr_v4 |
Name | ND96asr_v4 |
API Reference | Standard_ND96asr_v4 |
Description | NDASv4_A100 family [AMD processor] [Premium Storage capable] [RDMA capable] 96 vCPUs |
Family | NDASv4_A100 |
Hw Virt | - |
Status | active |
Observed At | 2026-10-26T00:13:04.200982 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
East US (US) / eastus | 5.9045 USD/h | 27.197 USD/h |
West US 2 (US) / westus2 | 5.9833 USD/h | 27.197 USD/h |
South Central US (US) / southcentralus | 7.084 USD/h | 32.63 USD/h |
Italy North (IT) / italynorth | 7.676 USD/h | 35.357 USD/h |
West Europe (NL) / westeurope | 7.676 USD/h | 35.357 USD/h |
Processor
vCPUs | 96 |
Hypervisor | Microsoft Hyper-V |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 900 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 8 |
Accelerator Memory Min | 0 MiB |
Accelerator Memory Total | 0 MiB |
Accelerator Type | GPU |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 10650 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A high-density GPU server with ninety-six dedicated AMD cores, massive NVMe storage, and RDMA networking for parallel computing workloads.
Microsoft Azure ND96asr_v4 is an x86_64 architecture server in the NDASv4_A100 family, featuring 96 dedicated AMD vCPUs and running on Microsoft Hyper-V. The system is equipped with 900.0 GB of RAM, offering 9.38 GB per core, and integrates eight GPUs. Storage consists of 10,650 GB of local NVMe SSD, and the instance is both Premium Storage and RDMA capable. Designed for high-density parallel processing, this server represents a premium hardware class optimized for resource-intensive workloads. It is engineered for deep learning, GPU-accelerated databases, and high-performance computing tasks requiring rapid data access and high-speed networking.
Economics
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