n4a-highcpu-16 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 999921012 |
Name | n4a-highcpu-16 |
Description | 16 vCPUs, 32 GB RAM |
Family | n4a |
Hw Virt | - |
Status | active |
Observed At | 2026-07-15T11:09:09.481962 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 16 |
CPU Allocation | Dedicated |
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 compute-optimized virtual machine featuring sixteen dedicated vCPUs and thirty-two gigabytes of RAM for processing-heavy workloads.
Google Cloud Platform n4a-highcpu-16 is an x86_64 architecture virtual machine within the n4a server family, configured with 16 dedicated vCPUs and 32.0 GB of RAM. This resource allocation provides a 1:2 vCPU-to-RAM ratio, offering 2.0 GB of memory per core. The instance does not include local storage, integrated GPUs, or complimentary public IPv4 addresses. Designed as a compute-optimized resource, it delivers dedicated processing power for workloads that prioritize CPU capacity over memory density. This profile is qualitatively cost-efficient for processing-heavy tasks that do not require massive memory arrays or local disk storage. It is suitable for workloads such as web serving, CI/CD pipelines, and general compute-bound applications.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| n4a-highcpu-1 | 1 | 2 GiB | 0 |
| n4a-standard-1 | 1 | 4 GiB | 0 |
| n4a-highmem-1 | 1 | 8 GiB | 0 |
| n4a-highcpu-2 | 2 | 4 GiB | 0 |
| n4a-standard-2 | 2 | 8 GiB | 0 |
| n4a-highmem-2 | 2 | 16 GiB | 0 |
| n4a-highcpu-4 | 4 | 8 GiB | 0 |
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| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
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