ecs.c2.large by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.c2.large |
Description | ecs.c2 family (16 vCPUs, 32 GiB RAM, 0 GB storage) |
Family | ecs.c2 |
Hw Virt | - |
Status | active |
Observed At | 2026-08-10T02:09:33.653593 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 16 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 16 |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 32 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 16-core compute-optimized instance with a balanced memory-to-CPU ratio for consistent, high-throughput processing workloads.
Alibaba Cloud ecs.c2.large is an x86_64 compute-optimized virtual machine instance running on the KVM hypervisor. It is configured with 16 dedicated physical cores and 16 vCPUs, utilizing a single thread per core to deliver consistent, non-shared processing power. The instance features 32.0 GB of system memory, establishing a 2.0 GB per core ratio. It does not include local storage or GPU accelerators, relying entirely on network-attached storage for data persistence. This streamlined hardware profile makes the ecs.c2.large a cost-efficient option for compute-heavy workloads that do not require large memory allocations or local disk performance. It is well-suited for tasks such as batch processing, web serving, and distributed compute applications.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.c2.medium | 16 | 16 GiB | 0 |
| ecs.c2.xlarge | 16 | 64 GiB | 0 |
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