g4-standard-192 by Google Cloud Platform

g4-standard-192 is a Graphics Optimized: 4 NVIDIA RTX PRO 6000 GPU, 192 vCPUs, 720GB RAM server offered by Google Cloud Platform with 192 vCPUs, 720 GiB of memory and 0 GB of storage. The pricing starts at 6.3365 USD per hour.
192 vCPU
720 GiB Memory
4 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
999920002
Name
g4-standard-192
Description
Graphics Optimized: 4 NVIDIA RTX PRO 6000 GPU, 192 vCPUs, 720GB RAM
Family
g4
Hw Virt
-
Status
active
Observed At
2026-10-24T15:52:24.395752

Availability

REGION / IDSPOTONDEMAND
The Dalles (US) / us-west1
6.3365 USD/h 17.9997 USD/h
Moncks Corner (US) / us-east1
6.3365 USD/h 17.9997 USD/h
Council Bluffs (US) / us-central1
6.654 USD/h 17.9997 USD/h
Ashburn (US) / us-east4
6.9214 USD/h 17.9997 USD/h
Dallas (US) / us-south1
7.1333 USD/h 17.9997 USD/h
Salt Lake City (US) / us-west3
7.8443 USD/h 19.7997 USD/h
Hamina (FI) / europe-north1
8.0061 USD/h 19.7997 USD/h
St. Ghislain (BE) / europe-west1
8.4713 USD/h 19.7997 USD/h
Eemshaven (NL) / europe-west4
8.6527 USD/h 19.7997 USD/h
Las Vegas (US) / us-west4
8.7993 USD/h 19.7997 USD/h
Columbus (US) / us-east5
9.9871 USD/h 19.7997 USD/h
Berlin (DE) / europe-west10
9.4058 USD/h 21.5964 USD/h
Dammam (SA) / me-central2
9.7476 USD/h 21.5964 USD/h
London (GB) / europe-west2
8.5057 USD/h 21.5997 USD/h
Jurong West (SG) / asia-southeast1
8.7212 USD/h 21.5997 USD/h
Milan (IT) / europe-west8
10.182 USD/h 21.5997 USD/h
Mumbai (IN) / asia-south1
10.0314 USD/h 23.3984 USD/h
Jakarta (ID) / asia-southeast2
10.2718 USD/h 23.3984 USD/h
Tokyo (JP) / asia-northeast1
8.8989 USD/h 23.3996 USD/h
Melbourne (AU) / australia-southeast2
8.8989 USD/h 23.3996 USD/h
Delhi (IN) / asia-south2
9.7118 USD/h 23.3996 USD/h
Changhua County (TW) / asia-east1
10.943 USD/h 23.3996 USD/h

Processor

vCPUs
192
CPU Allocation
Dedicated
CPU Architecture
x86_64

System Resources and Accelerators

MEMORY
Memory Amount
720 GiB
ACCELERATORS
Accelerator Count
4
Accelerator Memory Min
96 GiB
Accelerator Memory Total
384 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Blackwell
Accelerator Model
RTX PRO 6000
Accelerators
  • NVIDIA Blackwell RTX PRO 6000 (Memory amount: 98304)
  • NVIDIA Blackwell RTX PRO 6000 (Memory amount: 98304)
  • NVIDIA Blackwell RTX PRO 6000 (Memory amount: 98304)
  • NVIDIA Blackwell RTX PRO 6000 (Memory amount: 98304)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A graphics-optimized server featuring four professional GPUs, 384 GB of VRAM, and 192 dedicated vCPUs for intensive parallel computing workloads.

    GPU AcceleratedCompute Optimized

    Google Cloud Platform g4-standard-192 is a graphics-optimized server instance configured with 192 dedicated x86_64 vCPUs and 720.0 GB of system memory, yielding 3.75 GB of RAM per core. The hardware profile is defined by its GPU acceleration, featuring four NVIDIA RTX Pro 6000 GPUs from the Ada Lovelace architecture that provide a combined 384 GB of VRAM. Notable architectural tradeoffs include the absence of local storage and complimentary public IPv4 addresses, necessitating network-attached storage and manual network routing. This high-density configuration is designed for enterprise workloads requiring massive parallel processing capabilities, such as advanced graphics rendering, machine learning model training, and data science pipelines. Qualitatively, the instance offers a highly consolidated resource footprint for compute-heavy and GPU-dependent operations.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYAccelerators
    g4-standard-6 622 GiB⅛
    g4-standard-12 1245 GiB¼
    g4-standard-24 2490 GiB½
    g4-standard-48 48180 GiB1
    g4-standard-96 96360 GiB2
    g4-standard-384 3841440 GiB8

    Similar Servers

    INSTANCEVENDORvCPUsMEMORYAccelerators

    g4-standard-192 FAQs