(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | azure |
Server ID | Standard_EC32eds_v6 |
Name | EC32eds_v6 |
API Reference | Standard_EC32eds_v6 |
Description | ECEDV6 family [Memory Optimized] [Local Disk] [Premium Storage capable] [Intel processor] 32 vCPUs |
Family | ECEDV6 |
Hw Virt | - |
Status | active |
Observed At | 2026-10-27T07:07:06.398989 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
East US (US) / eastus | 0.5319 USD/h | 2.878 USD/h |
West US 3 (US) / westus3 | 0.5319 USD/h | 2.878 USD/h |
West US (US) / westus | 0.591 USD/h | 3.198 USD/h |
West Europe (NL) / westeurope | 0.6416 USD/h | 3.472 USD/h |
Processor
vCPUs | 32 |
Hypervisor | Microsoft Hyper-V |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 256 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 0 |
Accelerator Memory Min | 0 MiB |
Accelerator Memory Total | 0 MiB |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 1890 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A memory-optimized virtual machine featuring dedicated Intel processors, high-capacity RAM, and integrated local NVMe SSD storage.
Microsoft Azure EC32eds_v6 is a memory-optimized virtual machine from the ECEDV6 family, designed for resource-intensive enterprise workloads. Built on the x86_64 architecture with an Intel processor and managed via the Microsoft Hyper-V hypervisor, this instance features 32 dedicated vCPUs and 256.0 GB of RAM, establishing a high memory-to-core ratio of 8.0 GB per vCPU. Storage capabilities include a bundled 1890 GB local NVMe SSD alongside Premium Storage compatibility for external disk expansion. The instance does not include integrated GPU hardware or complimentary public IPv4 addresses. This configuration delivers a balanced combination of high-capacity memory and fast local storage, making it qualitatively cost-effective for workloads that require large memory footprints without the overhead of external storage latency. It is suited for relational databases, in-memory data stores, and large-scale data processing applications.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| EC2eds_v6 | 2 | 16 GiB | 0 |
| EC4eds_v6 | 4 | 32 GiB | 0 |
| EC8eds_v6 | 8 | 64 GiB | 0 |
| EC16eds_v6 | 16 | 128 GiB | 0 |
| EC48eds_v6 | 48 | 384 GiB | 0 |
| EC64eds_v6 | 64 | 512 GiB | 0 |
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