ecs.d1.6xlarge by Alibaba Cloud

ecs.d1.6xlarge is a ecs.d1 family (24 vCPUs, 96 GiB RAM, 70866 GB hdd storage) server offered by Alibaba Cloud with 24 vCPUs, 96 GiB of memory and 70.9 TB of storage. The pricing starts at 2.781 USD per hour.
24 vCPU
96 GiB Memory
70.9 TB Storage
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.d1.6xlarge
Description
ecs.d1 family (24 vCPUs, 96 GiB RAM, 70866 GB hdd storage)
Family
ecs.d1
Hw Virt
-
Status
active
Observed At
2026-10-23T11:32:59.788544

Availability

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

Processor

vCPUs
24
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
96 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    70866 GB
    Storage Type
    hdd
    Storages
      NETWORK
      Network Speed Baseline
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      High-capacity storage-dense compute instance featuring 24 dedicated vCPUs, 96 GB RAM, and over 70 TB of local HDD storage for big data processing.

      Storage & DatabaseGeneral Purpose

      Alibaba Cloud ecs.d1.6xlarge is a storage-dense instance type engineered for high-capacity local data processing. Powered by the KVM hypervisor, it features 24 dedicated Intel Xeon E5-2682v4 x86_64 vCPUs running at 2.5 GHz, paired with 96.0 GB of RAM (4.0 GB per core). Its primary feature is an integrated local HDD storage array totaling 70,866 GB. The instance delivers a baseline network throughput of 8 Gbps without GPU hardware accelerators or bundled public IPv4 addresses. While traditional magnetic hard drives lack the IOPS and access latencies of solid-state storage, this configuration delivers exceptionally high resource density and raw storage capacity per node. This makes the instance cost-efficient for heavy sequential I/O patterns. It is well-suited for big data analytics frameworks, distributed file systems, log processing pipelines, and large-scale data warehousing workloads.

      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.d1.4xlarge 1664 GiB0
      ecs.d1.8xlarge 32128 GiB0

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      ecs.d1.6xlarge FAQs