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m4-hypermem-32 by Google Cloud Platform

m4-hypermem-32 is a 32 vCPUs, 496 GB RAM server offered by Google Cloud Platform with 32 vCPUs, 496 GiB of memory and 0 GB of storage.
32 vCPU
496 GiB Memory
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1770203
Name
m4-hypermem-32
Description
32 vCPUs, 496 GB RAM
Family
m4
Hw Virt
-
Status
active
Observed At
2026-07-26T17:18:54.815872

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
32
CPU Allocation
Dedicated
CPU Architecture
x86_64

System Resources and Accelerators

MEMORY
Memory Amount
496 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 server featuring high RAM-to-CPU density and dedicated processing cores for demanding in-memory enterprise workloads.

      Memory Optimized

      Google Cloud Platform m4-hypermem-32 is an x86_64 memory-optimized server instance configured with 32 dedicated vCPUs and 496.0 GB of RAM. This configuration provides a high memory-to-CPU ratio of 15.5 GB per core, making it highly suitable for memory-intensive enterprise applications. The instance does not include local storage or integrated GPUs, focusing its resource allocation entirely on memory capacity and dedicated compute performance. This specialized profile offers qualitative cost efficiency for workloads that require massive in-memory datasets but do not need local NVMe storage or hardware acceleration. It is designed for workloads such as large-scale in-memory databases, enterprise resource planning systems, and memory-bound data processing pipelines where consistent CPU performance and high RAM capacity are critical.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      m4-hypermem-16 16248 GiB0
      m4-megamem-28 28372 GiB0
      m4-megamem-56 56744 GiB0
      m4-ultramem-56 561488 GiB0
      m4-hypermem-64 64992 GiB0
      m4-megamem-112 1121488 GiB0
      m4-ultramem-112 1122976 GiB0

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      m4-hypermem-32 FAQs