(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | azure |
Server ID | Standard_EC96as_cc_v5 |
Name | EC96as_cc_v5 |
API Reference | Standard_EC96as_cc_v5 |
Description | ECACCV5 family [AMD processor] [Premium Storage capable] 96 vCPUs |
Family | ECACCV5 |
Hw Virt | - |
Status | retired |
Observed At | 2026-10-06T01:22:09.648873 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Central India (IN) / centralindia | 0.6342 USD/h | 3.432 USD/h |
Jio India Central (IN) / jioindiacentral | - | 3.432 USD/h |
Jio India West (IN) / jioindiawest | - | 3.432 USD/h |
East US 2 (US) / eastus2 | 1.0024 USD/h | 5.424 USD/h |
North Central US (US) / northcentralus | 1.0024 USD/h | 5.424 USD/h |
West US 2 (US) / westus2 | 1.0024 USD/h | 5.424 USD/h |
West US 3 (US) / westus3 | 1.0024 USD/h | 5.424 USD/h |
East US (US) / eastus | 1.145 USD/h | 5.424 USD/h |
Sweden Central (SE) / swedencentral | 1.0733 USD/h | 5.808 USD/h |
Canada Central (CA) / canadacentral | 1.0999 USD/h | 5.952 USD/h |
West US (US) / westus | 1.1177 USD/h | 6.048 USD/h |
North Europe (IE) / northeurope | 1.1265 USD/h | 6.096 USD/h |
Central US (US) / centralus | 1.1298 USD/h | 6.12 USD/h |
France Central (FR) / francecentral | 1.1798 USD/h | 6.384 USD/h |
Italy North (IT) / italynorth | 1.1798 USD/h | 6.384 USD/h |
UK South (GB) / uksouth | 1.1798 USD/h | 6.384 USD/h |
South Central US (US) / southcentralus | 1.2029 USD/h | 6.509 USD/h |
Australia Central (AU) / australiacentral | 1.2064 USD/h | 6.528 USD/h |
Australia East (AU) / australiaeast | 1.2064 USD/h | 6.528 USD/h |
Korea Central (KR) / koreacentral | 1.2064 USD/h | 6.528 USD/h |
Southeast Asia (SG) / southeastasia | 1.2064 USD/h | 6.528 USD/h |
Germany West Central (DE) / germanywestcentral | 1.2152 USD/h | 6.576 USD/h |
Japan East (JP) / japaneast | 1.2152 USD/h | 6.576 USD/h |
Japan West (JP) / japanwest | 1.2152 USD/h | 6.576 USD/h |
Poland Central (PL) / polandcentral | 1.2152 USD/h | 6.576 USD/h |
West Europe (NL) / westeurope | 1.2152 USD/h | 6.576 USD/h |
UAE North (AE) / uaenorth | 1.2419 USD/h | 6.72 USD/h |
Australia Southeast (AU) / australiasoutheast | 1.303 USD/h | 7.051 USD/h |
East Asia (HK) / eastasia | 1.335 USD/h | 7.224 USD/h |
South Africa North (ZA) / southafricanorth | 1.3394 USD/h | 7.248 USD/h |
South India (IN) / southindia | 1.4134 USD/h | 7.648 USD/h |
Norway East (NO) / norwayeast | 1.4333 USD/h | 7.756 USD/h |
Switzerland North (CH) / switzerlandnorth | 1.4333 USD/h | 7.756 USD/h |
France South (FR) / francesouth | 1.5337 USD/h | 8.299 USD/h |
Germany North (DE) / germanynorth | 1.5799 USD/h | 8.549 USD/h |
Brazil South (BR) / brazilsouth | 1.6055 USD/h | 8.688 USD/h |
UAE Central (AE) / uaecentral | 1.6144 USD/h | 8.736 USD/h |
South Africa West (ZA) / southafricawest | 1.7412 USD/h | 9.422 USD/h |
Norway West (NO) / norwaywest | 1.8633 USD/h | 10.083 USD/h |
Processor
vCPUs | 96 |
Hypervisor | Microsoft Hyper-V |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 672 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A memory-optimized x86_64 server featuring ninety-six dedicated AMD vCPUs and substantial memory capacity for demanding enterprise database workloads.
Microsoft Azure EC96as_cc_v5 is an x86_64 memory-optimized server instance from the ECACCV5 family, powered by AMD processors and managed via the Microsoft Hyper-V hypervisor. It features 96 dedicated vCPUs and 672.0 GB of RAM, providing a high memory-to-core ratio of 7.0 GB per vCPU. The instance does not include bundled local storage or integrated GPUs, but it is Premium Storage capable, allowing high-performance external storage attachments. With zero complimentary public IPv4 addresses, network access must be configured externally. This configuration is designed for memory-intensive enterprise workloads, such as large-scale databases, in-memory data analytics, and enterprise resource planning systems, where dedicated compute resources and a substantial memory footprint are required to process large datasets efficiently.
Economics
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