ecs.ebmg5.24xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmg5.24xlarge |
Description | ecs.ebmg5 family (96 vCPUs, 384 GiB RAM, 0 GB storage) |
Family | ecs.ebmg5 |
Hw Virt | - |
Status | inactive |
Observed At | 2026-10-22T13:35:56.513299 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Zhangjiakou (CN) / cn-zhangjiakou | - | 4.934 USD/h |
Frankfurt (DE) / eu-central-1 | - | 5.76 USD/h |
Jakarta (ID) / ap-southeast-5 | 6 USD/h | 6 USD/h |
Hong Kong (HK) / cn-hongkong | - | 6 USD/h |
Beijing (CN) / cn-beijing | - | 6.79 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 6.79 USD/h |
Shanghai (CN) / cn-shanghai | - | 6.79 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 6.79 USD/h |
Processor
vCPUs | 96 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 0 |
Accelerator Memory Min | 0 MiB |
Accelerator Memory Total | 0 MiB |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 10 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A dedicated x86_64 server offering ninety-six physical cores and balanced memory for predictable, high-density enterprise workloads.
Alibaba Cloud ecs.ebmg5.24xlarge is a dedicated x86_64 server instance featuring 96 physical cores and 96 vCPUs, operating with a 1.0 thread-per-core ratio. It is equipped with 384.0 GB of system memory, establishing a balanced 4.0 GB of RAM per core. Running on the KVM hypervisor, the instance delivers a baseline network bandwidth of 10 Gbps. It does not include local storage or integrated GPUs, relying on external network-attached storage for data persistence. With dedicated CPU allocation and a 1:1 core-to-thread mapping, this server provides highly predictable compute performance. It is designed for resource-intensive enterprise applications, large-scale web serving, database hosting, and general-purpose workloads requiring consistent processing power without hyperthreading overhead.
Economics
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