g4-standard-24 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 999935026 |
Name | g4-standard-24 |
Description | Graphics Optimized: 1/2 NVIDIA RTX PRO 6000 GPU, 24 vCPUs, 90GB RAM |
Family | g4 |
Hw Virt | - |
Status | active |
Observed At | 2026-08-10T03:11:39.795473 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Council Bluffs (US) / us-central1 | 0.6467 USD/h | 1.7021 USD/h |
Moncks Corner (US) / us-east1 | 0.6467 USD/h | 1.7021 USD/h |
Dallas (US) / us-south1 | 0.6467 USD/h | 1.7021 USD/h |
Eemshaven (NL) / europe-west4 | 0.749 USD/h | 1.8724 USD/h |
Hamina (FI) / europe-north1 | 0.749 USD/h | 1.8724 USD/h |
Columbus (US) / us-east5 | 0.749 USD/h | 1.8724 USD/h |
London (GB) / europe-west2 | 0.8171 USD/h | 2.0426 USD/h |
Changhua County (TW) / asia-east1 | 0.9745 USD/h | 2.2128 USD/h |
Processor
vCPUs | 24 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 90 GiB |
| GPU | |
|---|---|
GPU Count | 1 |
GPU Memory Total | 0 MiB |
GPU Model | RTX Pro 6000 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
Dedicated x86_64 compute cores paired with professional GPU acceleration and balanced memory for graphics-intensive rendering and visualization workloads.
Google Cloud Platform g4-standard-24 is a graphics-optimized virtual machine featuring 24 dedicated x86_64 vCPUs and 90.0 GB of system memory, providing 3.75 GB of RAM per core. The instance is equipped with an NVIDIA RTX Pro 6000 GPU to accelerate graphics-heavy workloads. It does not include local storage or complimentary public IPv4 addresses, relying instead on network-attached storage and external network configurations. This hardware profile is designed for workloads requiring dedicated CPU resources and professional-grade GPU acceleration, such as 3D rendering, video encoding, and computer-aided design, offering a balanced resource density for graphics-focused tasks. It provides a cost-effective alternative to high-end deep learning instances for standard visualization needs.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| g4-standard-6 | 6 | 22 GiB | 1 |
| g4-standard-12 | 12 | 45 GiB | 1 |
| g4-standard-48 | 48 | 180 GiB | 1 |
| g4-standard-96 | 96 | 360 GiB | 2 |
| g4-standard-192 | 192 | 720 GiB | 4 |
| g4-standard-384 | 384 | 1440 GiB | 8 |
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