c4n-standard-96 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 999935516 |
Name | c4n-standard-96 |
Description | 96 vCPUs, 360 GB RAM |
Family | c4n |
Hw Virt | - |
Status | active |
Observed At | 2026-08-16T13:17:41.334871 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Council Bluffs (US) / us-central1 | 3.0362 USD/h | 7.5906 USD/h |
The Dalles (US) / us-west1 | 3.0362 USD/h | 7.5906 USD/h |
Moncks Corner (US) / us-east1 | 3.0362 USD/h | 7.5906 USD/h |
Columbus (US) / us-east5 | 3.0362 USD/h | 7.5906 USD/h |
London (GB) / europe-west2 | 3.4614 USD/h | 8.6531 USD/h |
Processor
vCPUs | 96 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 360 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 x86_64 compute instance offering ninety-six dedicated virtual cores and three hundred sixty gigabytes of memory for scalable workloads.
Google Cloud Platform c4n-standard-96 is an x86_64 architecture server configured with 96 dedicated vCPUs and 360.0 GB of RAM, yielding a memory-to-core ratio of 3.75 GB per vCPU. Part of the c4n family, this instance provides dedicated CPU allocation to ensure predictable compute performance for multi-threaded applications. It does not include local storage or integrated GPUs, meaning all storage requirements must be met via network-attached options, and workloads cannot leverage hardware acceleration. The resource profile is optimized for compute-heavy tasks that benefit from high core counts without requiring massive memory footprints. The lack of bundled public IPv4 addresses and local disks emphasizes its role as a pure compute node within a larger virtual private cloud architecture. Appropriate workloads include distributed data processing, batch computing, large-scale web serving, and software compilation.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| c4n-highcpu-2 | 2 | 4 GiB | 0 |
| c4n-standard-2 | 2 | 7 GiB | 0 |
| c4n-highmem-2 | 2 | 15 GiB | 0 |
| c4n-highcpu-4 | 4 | 8 GiB | 0 |
| c4n-standard-4 | 4 | 15 GiB | 0 |
| c4n-highmem-4 | 4 | 31 GiB | 0 |
| c4n-highcpu-8 | 8 | 16 GiB | 0 |
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