Cloud GPUs

High-performance GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization.

Try Google Cloud free
  • action/check_circle_24px Created with Sketch.

    Speed up compute jobs like machine learning and HPC

  • action/check_circle_24px Created with Sketch.

    A wide selection of GPUs to match a range of performance and price points

  • action/check_circle_24px Created with Sketch.

    Flexible pricing and machine customizations to optimize for your workload

Key features

A range of GPU types

NVIDIA K80, P100, P4, T4, and V100 GPUs provide a range of compute options to cover your workload for each cost and performance need.

Flexible performance

Optimally balance the processor, memory, high performance disk, and up to 8 GPUs per instance for your individual workload. All with the per-second billing, so you only pay only for what you need while you are using it.

All the benefits of Google Cloud

Run GPU workloads on Google Cloud Platform where you have access to industry-leading storage, networking, and data analytics technologies.

View all features


Google Cloud Basics
GPUs on Compute Engine

Compute Engine provides GPUs that you can add to your virtual machine instances. Learn what you can do with GPUs and what types of GPU hardware are available.

Adding or removing GPUs on Compute Engine

Learn how to add or remove GPUs from a Compute Engine VM.

Installing GPUs drivers

This guide shows ways to install NVIDIA proprietary drivers after you’ve created an instance with one or more GPUs.

GPUs on Google Kubernetes Engine

Learn how to use GPU hardware accelerators in your Google Kubernetes Engine clusters’ nodes.

Google Cloud Basics
Using GPUs for training models in the cloud

Accelerate the training process for many deep learning models, like image classification, video analysis, and natural language processing.

Google Cloud Basics
Attaching GPUs to Dataproc clusters

Attach GPUs to the master and worker Compute Engine nodes in a Dataproc cluster to accelerate specific workloads, such as machine learning and data processing.


For information about GPU pricing for the different GPU types and regions that are available on Compute Engine, refer to the GPU pricing document.