ecs.d1ne.8xlarge by Alibaba Cloud
(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 | 2026-10-24T00:57:06.610627 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
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 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 |
| ACCELERATORS | |
|---|---|
Accelerator Count | 0 |
Accelerator Memory Min | 0 MiB |
Accelerator Memory Total | 0 MiB |
Accelerators |
| 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 instance featuring 32 dedicated vCPUs, 128 GB RAM, and 94.5 TB of local HDD storage for capacity-demanding workloads.
Alibaba Cloud ecs.d1ne.8xlarge is a storage-dense instance featuring 32 dedicated vCPUs powered by Intel Xeon E5-2682v4 processors clocked at 2.5 GHz, paired with 128 GB of memory. Its primary differentiator is the bundled local storage capacity of 94,489 GB delivered via HDD drives, supported by a 20 Gbps baseline network bandwidth. Operating on x86_64 architecture under KVM, this server maintains a balanced general-purpose memory ratio of 4 GB RAM per vCPU alongside high-density physical storage. While mechanical HDD storage incurs higher access latencies compared to NVMe SSD alternatives, the large volume of local disk space delivers favorable qualitative cost efficiency for throughput-bound storage requirements. The hardware profile exhibits a clear tradeoff between raw random IOPS performance and sheer local storage capacity per compute node. This server configuration is best suited for big data processing, log analytics, distributed file system nodes, archival infrastructure, and large-scale data warehousing.
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-c14d3.14xlarge | 56 | 160 GiB | 0 |
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