ecs.d1.4xlarge by Alibaba Cloud

ecs.d1.4xlarge is a ecs.d1 family (16 vCPUs, 64 GiB RAM, 47244 GB hdd storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 47.2 TB of storage. The pricing starts at 1.854 USD per hour.
16 vCPU
64 GiB Memory
47.2 TB Storage
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.d1.4xlarge
Description
ecs.d1 family (16 vCPUs, 64 GiB RAM, 47244 GB hdd storage)
Family
ecs.d1
Hw Virt
-
Status
active
Observed At
2026-10-06T14:31:55.388835

Availability

REGION / IDSPOTONDEMAND
Hangzhou (CN) / cn-hangzhou
- 1.854 USD/h

Processor

vCPUs
16
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
64 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    47244 GB
    Storage Type
    hdd
    Storages
      NETWORK
      Network Speed Baseline
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A high-density storage instance featuring massive local HDD capacity and dedicated compute resources for sequential data-intensive workloads.

      Storage & DatabaseGeneral Purpose

      Alibaba Cloud ecs.d1.4xlarge is a storage-optimized virtual machine instance designed for high-capacity data workloads. Running on the KVM hypervisor, it is equipped with 16 dedicated vCPUs from an Intel Xeon E5-2682v4 processor clocked at 2.5 GHz, alongside 64.0 GB of system memory. The standout feature of this instance is its massive 47,244 GB of local HDD storage, which provides a highly cost-efficient solution for hosting large volumes of sequential data. With a baseline network bandwidth of 6 Gbps, the instance is engineered for data-intensive processing. The reliance on magnetic HDD storage presents a tradeoff, favoring high-density sequential throughput over low-latency random IOPS. This hardware profile makes the instance highly suitable for distributed file systems, big data analytics, MapReduce workloads, and large-scale log processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      ecs.d1.2xlarge 832 GiB0
      ecs.d1.3xlarge 1248 GiB0
      ecs.d1.6xlarge 2496 GiB0
      ecs.d1.8xlarge 32128 GiB0

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      ecs.d1.4xlarge FAQs