ecs.c1.large by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.c1.large |
Description | ecs.c1 family (8 vCPUs, 16 GiB RAM, 0 GB storage) |
Family | ecs.c1 |
Hw Virt | - |
Status | active |
Observed At | 2026-08-11T03:07:59.613156 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 8 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 8 |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 16 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A dedicated x86_64 compute instance featuring eight physical cores and a balanced compute-to-memory ratio for consistent processing workloads.
Alibaba Cloud ecs.c1.large is an x86_64 compute-optimized server instance built on the KVM hypervisor. It features 8 dedicated vCPUs mapped to 8 physical cores, providing a 1.0 thread-per-core ratio that eliminates hyperthreading overhead. The system is equipped with 16.0 GB of RAM, establishing a 2.0 GB per core memory allocation. It contains no local storage or integrated GPUs, requiring external storage attachments for persistent data. Designed with a 1:2 vCPU-to-RAM ratio, this instance is optimized for compute-focused workloads that demand dedicated CPU resources without massive memory requirements. It is best suited for tasks such as web serving, batch processing, and distributed computing nodes.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.c1.small | 8 | 8 GiB | 0 |
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