n4a-highmem-64 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 999921023 |
Name | n4a-highmem-64 |
Description | 64 vCPUs, 512 GB RAM |
Family | n4a |
Hw Virt | - |
Status | active |
Observed At | 2026-09-08T05:34:37.434627 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
The Dalles (US) / us-west1 | 1.1684 USD/h | 3.2346 USD/h |
Moncks Corner (US) / us-east1 | 1.1684 USD/h | 3.2346 USD/h |
Council Bluffs (US) / us-central1 | 1.2901 USD/h | 3.2346 USD/h |
Ashburn (US) / us-east4 | 1.4938 USD/h | 3.2346 USD/h |
Eemshaven (NL) / europe-west4 | 1.4972 USD/h | 3.3958 USD/h |
St. Ghislain (BE) / europe-west1 | 1.7272 USD/h | 3.5597 USD/h |
London (GB) / europe-west2 | 1.7855 USD/h | 3.6864 USD/h |
Frankfurt (DE) / europe-west3 | 1.8478 USD/h | 3.8157 USD/h |
Jurong West (SG) / asia-southeast1 | 1.9336 USD/h | 3.9885 USD/h |
Processor
vCPUs | 64 |
CPU Allocation | Dedicated |
CPU Architecture | arm64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 512 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 virtual machine featuring sixty-four dedicated cores and a high-density memory configuration for memory-intensive enterprise workloads.
Google Cloud Platform n4a-highmem-64 is an Arm64-based virtual machine instance configured with 64 dedicated vCPUs and 512 GB of RAM. This server type delivers a high memory-to-vCPU ratio of 8 GB per core, making it highly suitable for memory-intensive workloads. The instance features dedicated CPU allocation to ensure predictable compute performance, though it does not include local storage or GPU hardware. Built on an Arm64 architecture, the n4a-highmem-64 offers a resource-dense profile that provides qualitative cost efficiency for memory-bound applications compared to traditional x86 alternatives. It is designed for workloads such as in-memory databases, large-scale caching layers, data analytics, and memory-heavy enterprise applications. The lack of bundled local storage requires reliance on network-attached storage, which should be factored into the overall architecture design.
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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