c4d-highcpu-8 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 999903052 |
Name | c4d-highcpu-8 |
Description | 8 vCPUs, 15 GB RAM |
Family | c4d |
Hw Virt | - |
Status | active |
Observed At | 2026-07-30T15:21:06.964089 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 8 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 15 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 compute-optimized virtual machine featuring eight dedicated vCPUs and a lean memory profile for processing-heavy workloads.
Google Cloud Platform c4d-highcpu-8 is an x86_64 compute-optimized virtual machine from the c4d server family. It is configured with 8 dedicated vCPUs and 15.0 GB of system memory, providing a resource density of 1.88 GB of RAM per core. This server does not include local storage or integrated GPUs, requiring network-attached storage for data persistence. It also provides zero complimentary public IPv4 addresses. With its dedicated CPU allocation, the instance delivers consistent processing capabilities. The low memory-to-core ratio makes it a qualitatively cost-effective option for compute-bound tasks that do not demand large memory capacities. It is suited for workloads such as batch processing, web serving, microservices, and distributed compute tasks.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| c4d-highcpu-2 | 2 | 3 GiB | 0 |
| c4d-standard-2 | 2 | 7 GiB | 0 |
| c4d-highmem-2 | 2 | 15 GiB | 0 |
| c4d-highcpu-4 | 4 | 7 GiB | 0 |
| c4d-standard-4 | 4 | 15 GiB | 0 |
| c4d-highmem-4 | 4 | 31 GiB | 0 |
| c4d-standard-8 | 8 | 31 GiB | 0 |
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| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
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