m4n-hypermem-64 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1770504 |
Name | m4n-hypermem-64 |
Description | 64 vCPUs, 992 GB RAM |
Family | m4n |
Hw Virt | - |
Status | active |
Observed At | 2026-06-29T11:46:12.523066 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 64 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 992 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 memory-optimized configuration featuring 992 GB of RAM and 64 dedicated vCPUs for massive in-memory data processing.
Google Cloud Platform m4n-hypermem-64 is an x86_64 memory-optimized server instance from the m4n family, featuring 64 dedicated vCPUs and 992.0 GB of RAM. With a high memory-to-vCPU ratio of 15.5 GB per core, this instance is engineered for memory-intensive workloads. It does not include local storage, GPUs, or complimentary public IPv4 addresses, requiring reliance on network-attached storage for data persistence. The high resource density of this instance provides qualitative cost efficiency for workloads that require massive memory footprints without the overhead of managing multiple smaller nodes. It is designed for large in-memory databases, enterprise applications, and memory-bound data processing tasks.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| m4n-hypermem-16 | 16 | 248 GiB | 0 |
| m4n-megamem-28 | 28 | 372 GiB | 0 |
| m4n-hypermem-32 | 32 | 496 GiB | 0 |
| m4n-megamem-56 | 56 | 744 GiB | 0 |
| m4n-ultramem-56 | 56 | 1488 GiB | 0 |
| m4n-megamem-112 | 112 | 1488 GiB | 0 |
| m4n-ultramem-112 | 112 | 2976 GiB | 0 |
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