ecs.ebmc5s.24xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmc5s.24xlarge |
Description | ecs.ebmc5s family (96 vCPUs, 192 GiB RAM, 0 GB storage) |
Family | ecs.ebmc5s |
Hw Virt | - |
Status | active |
Observed At | 2026-10-28T23:18:20.641902 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Beijing (CN) / cn-beijing | - | 4.617 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 4.617 USD/h |
Processor
vCPUs | 96 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Speed | 2.5 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8163 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 192 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 | 32 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A compute-optimized bare-metal instance featuring 96 dedicated Intel Xeon vCPUs, 192 GB RAM, and 32 Gbps baseline network bandwidth.
Alibaba Cloud ecs.ebmc5s.24xlarge is a compute-optimized bare-metal server instance operating on the KVM hypervisor. Powered by an x86_64 Intel Xeon 8163 processor running at 2.5 GHz, it supplies 96 dedicated vCPUs and 192 GB of system RAM, maintaining a 1:2 vCPU-to-RAM ratio of 2.0 GB per core. The instance delivers a baseline network bandwidth of 32 Gbps, enabling rapid data transfer across cloud environments. It includes no local storage or GPU hardware, necessitating external network-attached block storage for persistent data access. The hardware profile balances substantial compute density and strong network capability against a modest memory ratio per core. This renders the instance well suited for compute-intensive workloads such as continuous integration build fleets, distributed batch processing, high-concurrency web application servers, and CPU-bound parallel simulation tasks.
Economics
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