c4a-highmem-32-lssd by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1765230 |
Name | c4a-highmem-32-lssd |
Description | 32 vCPUs, 256 GB RAM, 6 local SSD |
Family | c4a |
Hw Virt | - |
Status | active |
Observed At | 2026-11-09T10:17:46.360893 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Columbus (US) / us-east5 | 0.5828 USD/h | 2.2559 USD/h |
Council Bluffs (US) / us-central1 | 1.1129 USD/h | 2.2559 USD/h |
The Dalles (US) / us-west1 | 1.1129 USD/h | 2.2559 USD/h |
Moncks Corner (US) / us-east1 | 1.1129 USD/h | 2.2559 USD/h |
Ashburn (US) / us-east4 | 1.3438 USD/h | 2.2559 USD/h |
Mumbai (IN) / asia-south1 | 0.9436 USD/h | 2.3461 USD/h |
Eemshaven (NL) / europe-west4 | 0.3302 USD/h | 2.3688 USD/h |
Stockholm (SE) / europe-north2 | 1.4043 USD/h | 2.3688 USD/h |
Queretaro (MX) / northamerica-south1 | 0.6358 USD/h | 2.459 USD/h |
Hamina (FI) / europe-north1 | 0.6375 USD/h | 2.484 USD/h |
St. Ghislain (BE) / europe-west1 | 1.1086 USD/h | 2.484 USD/h |
Johannesburg (ZA) / africa-south1 | 1.1197 USD/h | 2.484 USD/h |
Toronto (CA) / northamerica-northeast2 | 1.1403 USD/h | 2.484 USD/h |
Montréal (CA) / northamerica-northeast1 | 1.1411 USD/h | 2.484 USD/h |
Las Vegas (US) / us-west4 | 1.1071 USD/h | 2.5409 USD/h |
London (GB) / europe-west2 | 1.2564 USD/h | 2.5717 USD/h |
Changhua County (TW) / asia-east1 | 0.8617 USD/h | 2.6122 USD/h |
Dallas (US) / us-south1 | 0.8881 USD/h | 2.6621 USD/h |
Frankfurt (DE) / europe-west3 | 1.0834 USD/h | 2.6621 USD/h |
Madrid (ES) / europe-southwest1 | 1.3044 USD/h | 2.6621 USD/h |
Los Angeles (US) / us-west2 | 1.08 USD/h | 2.7119 USD/h |
Warsaw (PL) / europe-central2 | 0.7099 USD/h | 2.7297 USD/h |
Doha (QA) / me-central1 | 1.0401 USD/h | 2.741 USD/h |
Jurong West (SG) / asia-southeast1 | 1.6697 USD/h | 2.7831 USD/h |
Sydney (AU) / australia-southeast1 | 0.5924 USD/h | 2.8202 USD/h |
Tokyo (JP) / asia-northeast1 | 1.3589 USD/h | 2.8971 USD/h |
Melbourne (AU) / australia-southeast2 | 0.6161 USD/h | 2.932 USD/h |
Zurich (CH) / europe-west6 | 0.8286 USD/h | 2.9553 USD/h |
Jakarta (ID) / asia-southeast2 | 0.7901 USD/h | 3.0336 USD/h |
Santiago (CL) / southamerica-west1 | 1.2792 USD/h | 3.2259 USD/h |
Osasco (BR) / southamerica-east1 | 1.3597 USD/h | 3.5822 USD/h |
Processor
vCPUs | 32 |
CPU Allocation | Dedicated |
CPU Architecture | arm64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 256 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 0 |
Accelerator Memory Min | 0 MiB |
Accelerator Memory Total | 0 MiB |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 2416 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An arm64 server featuring 32 dedicated cores, 256 GB of RAM, and 2416 GB of integrated local NVMe SSD storage.
Google Cloud Platform c4a-highmem-32-lssd is an arm64-based server instance configured with 32 dedicated vCPUs and 256.0 GB of system memory, establishing a high memory-to-vCPU ratio of 8.0 GB per core. This instance features 2416 GB of local NVMe SSD storage across six drives, offering high-speed, low-latency local storage directly attached to the virtual machine. Built on the energy-efficient arm64 architecture, it delivers predictable performance with dedicated CPU allocation. The qualitative cost efficiency of this server is enhanced by the integrated local NVMe storage, which reduces reliance on network-attached block storage for high-throughput operations. This configuration is highly suited for memory-intensive databases, caching layers, data processing pipelines, and workloads requiring significant local scratch space.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| c4a-highcpu-1 | 1 | 2 GiB | 0 |
| c4a-standard-1 | 1 | 4 GiB | 0 |
| c4a-highmem-1 | 1 | 8 GiB | 0 |
| c4a-highcpu-2 | 2 | 4 GiB | 0 |
| c4a-standard-2 | 2 | 8 GiB | 0 |
| c4a-highmem-2 | 2 | 16 GiB | 0 |
| c4a-highcpu-4 | 4 | 8 GiB | 0 |
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