ecs.d1ne.8xlarge by Alibaba Cloud

ecs.d1ne.8xlarge is a ecs.d1ne family (32 vCPUs, 128 GiB RAM, 94489 GB hdd storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 94.5 TB of storage. The pricing starts at 3.238 USD per hour.
32 vCPU
128 GiB Memory
94.5 TB Storage
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.d1ne.8xlarge
Description
ecs.d1ne family (32 vCPUs, 128 GiB RAM, 94489 GB hdd storage)
Family
ecs.d1ne
Hw Virt
-
Status
active
Observed At
2026-10-24T00:57:06.610627

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
- 3.238 USD/h
Beijing (CN) / cn-beijing
- 4.139 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2682v4

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    94489 GB
    Storage Type
    hdd
    Storages
      NETWORK
      Network Speed Baseline
      20 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A storage-dense instance featuring 32 dedicated vCPUs, 128 GB RAM, and 94.5 TB of local HDD storage for capacity-demanding workloads.

      Storage & DatabaseGeneral Purpose

      Alibaba Cloud ecs.d1ne.8xlarge is a storage-dense instance featuring 32 dedicated vCPUs powered by Intel Xeon E5-2682v4 processors clocked at 2.5 GHz, paired with 128 GB of memory. Its primary differentiator is the bundled local storage capacity of 94,489 GB delivered via HDD drives, supported by a 20 Gbps baseline network bandwidth. Operating on x86_64 architecture under KVM, this server maintains a balanced general-purpose memory ratio of 4 GB RAM per vCPU alongside high-density physical storage. While mechanical HDD storage incurs higher access latencies compared to NVMe SSD alternatives, the large volume of local disk space delivers favorable qualitative cost efficiency for throughput-bound storage requirements. The hardware profile exhibits a clear tradeoff between raw random IOPS performance and sheer local storage capacity per compute node. This server configuration is best suited for big data processing, log analytics, distributed file system nodes, archival infrastructure, and large-scale data warehousing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      ecs.d1ne-c8d3.8xlarge 32128 GiB0
      ecs.d1ne-c14d3.14xlarge 56160 GiB0

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      ecs.d1ne.8xlarge FAQs