n4a-highcpu-32 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 999921013 |
Name | n4a-highcpu-32 |
Description | 32 vCPUs, 64 GB RAM |
Family | n4a |
Hw Virt | - |
Status | active |
Observed At | 2026-09-07T10:43:48.743922 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
The Dalles (US) / us-west1 | 0.3755 USD/h | 1.0394 USD/h |
Moncks Corner (US) / us-east1 | 0.3755 USD/h | 1.0394 USD/h |
Council Bluffs (US) / us-central1 | 0.4145 USD/h | 1.0394 USD/h |
Ashburn (US) / us-east4 | 0.48 USD/h | 1.0394 USD/h |
Eemshaven (NL) / europe-west4 | 0.4812 USD/h | 1.0912 USD/h |
St. Ghislain (BE) / europe-west1 | 0.5553 USD/h | 1.1443 USD/h |
London (GB) / europe-west2 | 0.5738 USD/h | 1.1846 USD/h |
Frankfurt (DE) / europe-west3 | 0.5939 USD/h | 1.2262 USD/h |
Jurong West (SG) / asia-southeast1 | 0.6214 USD/h | 1.2819 USD/h |
Processor
vCPUs | 32 |
CPU Allocation | Dedicated |
CPU Architecture | arm64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 64 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
An arm64 compute-optimized virtual machine featuring thirty-two dedicated cores and a lean two gigabytes of memory per core.
Google Cloud Platform n4a-highcpu-32 is an arm64-based virtual machine within the n4a family, configured with 32 dedicated vCPUs and 64.0 GB of RAM. This resource allocation provides a compute-optimized ratio of 2.0 GB of memory per core. The server does not include local storage, bundled GPUs, or complimentary public IPv4 addresses, representing a design optimized strictly for processing power over local data persistence or hardware acceleration. From a cost-efficiency perspective, the arm64 architecture offers a balanced resource density for multi-threaded workloads. This instance is designed for compute-heavy tasks such as batch processing, web serving, containerized microservices, and software compilation pipelines that do not require large memory footprints or local solid-state storage.
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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