(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | azure |
Server ID | Standard_HB176rs_v4 |
Name | HB176rs_v4 |
API Reference | Standard_HB176rs_v4 |
Description | HBv4 family [RDMA capable] [Premium Storage capable] [Intel processor] 176 vCPUs |
Family | HBv4 |
Hw Virt | - |
Status | active |
Observed At | 2026-10-06T14:47:08.940357 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
East US (US) / eastus | 1.3306 USD/h | 7.2 USD/h |
East US 2 (US) / eastus2 | 1.3306 USD/h | 7.2 USD/h |
Malaysia West (MY) / malaysiawest | 1.5568 USD/h | 8.424 USD/h |
South Central US (US) / southcentralus | 4.32 USD/h | 8.64 USD/h |
Southeast Asia (SG) / southeastasia | 1.7297 USD/h | 9.36 USD/h |
Sweden Central (SE) / swedencentral | 1.7297 USD/h | 9.36 USD/h |
West Europe (NL) / westeurope | 1.7297 USD/h | 9.36 USD/h |
Korea Central (KR) / koreacentral | 1.7963 USD/h | 9.72 USD/h |
Australia East (AU) / australiaeast | 1.9293 USD/h | 10.44 USD/h |
Processor
vCPUs | 176 |
Hypervisor | Microsoft Hyper-V |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
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 | 4332 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A high-core-count dedicated server featuring local NVMe storage and RDMA capability for demanding parallel computing and clustered workloads.
Microsoft Azure HB176rs_v4 is a dedicated x86_64 server instance from the HBv4 family, powered by an Intel processor and running on the Microsoft Hyper-V hypervisor. It features 176 dedicated vCPUs and 768.0 GB of system memory, providing 4.36 GB of RAM per core. For storage, the instance includes 4332 GB of local NVMe SSD capacity and supports Premium Storage. The server is RDMA-capable, facilitating high-throughput, low-latency networking for clustered environments, though it lacks dedicated GPU hardware. This configuration is engineered for high-performance computing workloads, large-scale scientific simulations, and data-intensive processing tasks that benefit from massive parallel compute capacity and fast local storage.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| HB176-24rs_v4 | 24 | 768 GiB | 0 |
| HB176-48rs_v4 | 48 | 768 GiB | 0 |
| HB176-96rs_v4 | 96 | 768 GiB | 0 |
| HB176-144rs_v4 | 144 | 768 GiB | 0 |
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