ecs.ebmr5s.24xlarge by Alibaba Cloud

ecs.ebmr5s.24xlarge is a ecs.ebmr5s family (96 vCPUs, 768 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 96 vCPUs, 768 GiB of memory and 0 GB of storage. The pricing starts at 7.008 USD per hour.
96 vCPU
768 GiB Memory
Spare SCore
-
(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 / IDSPOTONDEMAND
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.

      Memory Optimized

      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

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      ecs.ebmr5s.24xlarge FAQs