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
2026-10-23T11:32:59.788520

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
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    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-capacity storage instance featuring 16 dedicated vCPUs, 64 GB RAM, and 47,244 GB of local HDD storage for data-dense workloads.

      Storage & DatabaseGeneral Purpose

      Alibaba Cloud ecs.d1.4xlarge is a storage-focused virtual instance equipped with 16 dedicated vCPUs powered by Intel Xeon E5-2682v4 processors operating at 2.5 GHz on the x86_64 architecture. It includes 64.0 GB of RAM, maintaining a 4.0 GB per vCPU ratio, alongside a baseline network throughput of 6 Gbps under a KVM hypervisor. The central feature of the ecs.d1.4xlarge is its massive local storage offering of 47,244 GB on hard disk drives (HDD), providing high raw capacity per instance node without attached GPU accelerators. This architecture delivers high bulk storage density for workloads where capacity economics take precedence over solid-state IOPS. Consequently, the instance is well suited for distributed big data processing, offline log analytics, batch data warehousing, data archiving, and large-scale ETL jobs requiring extensive direct-attached disk space.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      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