n4d-highcpu-8 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1751202 |
Name | n4d-highcpu-8 |
Description | 8 vCPUs, 16 GB RAM |
Family | n4d |
Hw Virt | - |
Status | active |
Observed At | 2026-09-03T17:19:49.508163 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Mumbai (IN) / asia-south1 | 0.0997 USD/h | 0.2173 USD/h |
Moncks Corner (US) / us-east1 | 0.0934 USD/h | 0.2858 USD/h |
The Dalles (US) / us-west1 | 0.1081 USD/h | 0.2858 USD/h |
Columbus (US) / us-east5 | 0.1384 USD/h | 0.2858 USD/h |
Ashburn (US) / us-east4 | 0.1453 USD/h | 0.2858 USD/h |
Council Bluffs (US) / us-central1 | 0.1525 USD/h | 0.2858 USD/h |
Delhi (IN) / asia-south2 | 0.1022 USD/h | 0.2972 USD/h |
Eemshaven (NL) / europe-west4 | 0.1312 USD/h | 0.3002 USD/h |
St. Ghislain (BE) / europe-west1 | 0.0944 USD/h | 0.3147 USD/h |
Hamina (FI) / europe-north1 | 0.103 USD/h | 0.3147 USD/h |
Las Vegas (US) / us-west4 | 0.0869 USD/h | 0.322 USD/h |
London (GB) / europe-west2 | 0.1428 USD/h | 0.3258 USD/h |
Frankfurt (DE) / europe-west3 | 0.1631 USD/h | 0.3374 USD/h |
Salt Lake City (US) / us-west3 | 0.206 USD/h | 0.3436 USD/h |
Jurong West (SG) / asia-southeast1 | 0.1794 USD/h | 0.3526 USD/h |
Processor
vCPUs | 8 |
CPU Allocation | Dedicated |
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 compute-optimized x86_64 server configuration featuring eight dedicated vCPUs and sixteen gigabytes of memory for processing-heavy workloads.
The Google Cloud Platform n4d-highcpu-8 is an x86_64 architecture server instance within the n4d family, designed for compute-focused workloads. It features 8 dedicated vCPUs and 16.0 GB of RAM, establishing a 2.0 GB memory-per-core ratio. This instance does not include local storage or integrated GPUs, and it provides zero complimentary public IPv4 addresses. With its dedicated CPU allocation, the server ensures consistent compute performance without resource contention. The low memory-to-CPU ratio makes it a cost-efficient option for workloads that prioritize processing power over memory capacity. It is suitable for tasks such as batch processing, web serving, and containerized microservices.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| n4d-highcpu-2 | 2 | 4 GiB | 0 |
| n4d-standard-2 | 2 | 8 GiB | 0 |
| n4d-highmem-2 | 2 | 16 GiB | 0 |
| n4d-highcpu-4 | 4 | 8 GiB | 0 |
| n4d-standard-4 | 4 | 16 GiB | 0 |
| n4d-highmem-4 | 4 | 32 GiB | 0 |
| n4d-standard-8 | 8 | 32 GiB | 0 |
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