ecs.ebmr5s.24xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmr5s.24xlarge |
Description | ecs.ebmr5s family (96 vCPUs, 768 GiB RAM, 0 GB storage) |
Family | ecs.ebmr5s |
Hw Virt | - |
Status | active |
Observed At | 2026-10-30T12:49:01.247536 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Jakarta (ID) / ap-southeast-5 | - | 7.008 USD/h |
Beijing (CN) / cn-beijing | - | 8.409 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 | 768 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 high-density memory instance offering 96 dedicated vCPUs and 768 GB RAM for large-scale enterprise data workloads.
Alibaba Cloud ecs.ebmr5s.24xlarge is a memory-optimized cloud server built on x86_64 architecture with 96 dedicated vCPUs and 768.0 GB of memory. It utilizes Intel Xeon 8163 processors running at a clock frequency of 2.5 GHz, yielding a memory-to-core ratio of 8.0 GB per vCPU. The instance provides a baseline network bandwidth of 32 Gbps to support substantial network throughput requirements. It does not include local disk storage or hardware GPU acceleration, requiring attached remote block storage for data persistence. This high-density memory profile delivers efficient resource allocation for workloads requiring massive memory footprints without proportional compute overhead. It is suited for running large-scale in-memory databases, enterprise resource planning applications, high-throughput memory caches, and real-time big data analytics pipelines.
Economics
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