(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.d1ne.14xlarge |
Description | ecs.d1ne family (56 vCPUs, 224 GiB RAM, 165356 GB hdd storage) |
Family | ecs.d1ne |
Hw Virt | - |
Status | inactive |
Observed At | 2026-10-24T00:57:06.610658 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Virginia (US) / us-east-1 | - | 4.702 USD/h |
Zhangjiakou (CN) / cn-zhangjiakou | - | 5.431 USD/h |
Singapore (SG) / ap-southeast-1 | - | 5.963 USD/h |
Hohhot (CN) / cn-huhehaote | - | 6.518 USD/h |
Beijing (CN) / cn-beijing | - | 7.242 USD/h |
Chengdu (CN) / cn-chengdu | - | 7.242 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 7.242 USD/h |
Qingdao (CN) / cn-qingdao | - | 7.242 USD/h |
Shanghai (CN) / cn-shanghai | - | 7.242 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 7.242 USD/h |
Processor
vCPUs | 56 |
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 | 224 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 0 |
Accelerator Memory Min | 0 MiB |
Accelerator Memory Total | 0 MiB |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 165356 GB |
Storage Type | hdd |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 35 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
High-density compute instance bundling 56 dedicated cores, 224 GB memory, and 165 TB of local HDD storage for large-scale data processing.
Alibaba Cloud ecs.d1ne.14xlarge is a high-capacity storage instance configured with 56 dedicated vCPUs and 224.0 GB of memory on the x86_64 Intel Xeon E5-2682v4 architecture running at 2.5 GHz under KVM. The hardware profile is dominated by a substantial local storage allocation of 165,356 GB across mechanical hard disk drives, paired with a 35 Gbps baseline network bandwidth. Operating at a standard ratio of 4.0 GB RAM per vCPU, the instance balances processing compute with extreme local disk density. While HDD storage introduces higher random latency relative to SSD solutions, it delivers high qualitative cost efficiency for large-scale sequential data retention. The ecs.d1ne.14xlarge is best suited for big data storage nodes, distributed file systems like HDFS, log processing pipelines, and long-term analytical archives.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| ecs.d1ne.2xlarge | 8 | 32 GiB | 0 |
| ecs.d1ne.4xlarge | 16 | 64 GiB | 0 |
| ecs.d1ne.6xlarge | 24 | 96 GiB | 0 |
| ecs.d1ne-c8d3.8xlarge | 32 | 128 GiB | 0 |
| ecs.d1ne.8xlarge | 32 | 128 GiB | 0 |
| ecs.d1ne-c14d3.14xlarge | 56 | 160 GiB | 0 |
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