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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
2026-07-25T14:37:56.236888

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 Cores
32
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
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    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 virtual server featuring thirty-two dedicated cores and over ninety-four terabytes of local HDD capacity for large-scale data workloads.

      Storage & DatabaseGeneral Purpose

      Alibaba Cloud ecs.d1ne.8xlarge is a storage-focused virtual machine instance designed for high-capacity local data requirements. Powered by the KVM hypervisor, it features 32 dedicated physical cores on an Intel Xeon E5-2682v4 processor running at 2.5 GHz with an x86_64 architecture. The hardware configuration includes 128.0 GB of system memory, yielding 4.0 GB of RAM per core, and is bundled with a massive 94489 GB of local HDD storage. External data transfers are supported by a baseline network bandwidth of 20 Gbps. Lacking GPU acceleration, this instance is optimized for storage-dense workloads rather than parallel computing. The qualitative cost efficiency of this instance lies in its high local storage density relative to compute resources. It is suited for large-scale data warehousing, big data analytics, log processing, and distributed file systems that require substantial local disk capacity.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      INSTANCEvCPUsMEMORYGPUs
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      ecs.d1ne-c8d3.8xlarge 32128 GiB0
      ecs.d1ne-c14d3.14xlarge 56160 GiB0
      ecs.d1ne.14xlarge 56224 GiB0

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      ecs.d1ne.8xlarge FAQs