m4n-megamem-28 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1770401 |
Name | m4n-megamem-28 |
Description | 28 vCPUs, 372 GB RAM |
Family | m4n |
Hw Virt | - |
Status | active |
Observed At | 2026-06-29T14:29:53.534108 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 28 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 372 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 memory-optimized x86_64 virtual machine featuring high memory density with twenty-eight dedicated vCPUs and three hundred seventy-two gigabytes of RAM.
Google Cloud Platform m4n-megamem-28 is a memory-optimized instance within the m4n family, featuring 28 dedicated vCPUs on the x86_64 architecture and 372.0 GB of RAM. With a high memory-to-core ratio of 13.29 GB per vCPU, this instance is engineered for memory-intensive enterprise applications. It does not include local storage or integrated GPUs, requiring external network storage for data persistence. The high memory density makes it a qualitatively cost-effective option for workloads where software licensing is tied to vCPU count but memory demands are high. It is suitable for hosting in-memory databases, large-scale caching layers, and real-time data analytics pipelines.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| m4n-hypermem-16 | 16 | 248 GiB | 0 |
| m4n-hypermem-32 | 32 | 496 GiB | 0 |
| m4n-megamem-56 | 56 | 744 GiB | 0 |
| m4n-ultramem-56 | 56 | 1488 GiB | 0 |
| m4n-hypermem-64 | 64 | 992 GiB | 0 |
| m4n-megamem-112 | 112 | 1488 GiB | 0 |
| m4n-ultramem-112 | 112 | 2976 GiB | 0 |
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