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Cloud GPUs

Cloud GPUs

High-performance GPUs on Google Cloud for machine learning, scientific computing, and generative AI.

  • Speed up compute jobs like generative AI, 3D visualization, and HPC

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

  • Flexible pricing and machine customizations to optimize for your workload

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A4 VMs now generally available, A4X VMs in Preview

Key features

Key features

A range of GPU types

NVIDIA GB200, B200, H200, H100, L4, P100, P4, T4, V100, and A100 GPUs provide a range of compute options to cover your workloads for a broad set of cost and performance needs.

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 where you have access to industry-leading storage, networking, and data analytics technologies.

Documentation

Documentation

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.

Tutorial

Adding or removing GPUs on Compute Engine

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

Tutorial

Installing GPUs drivers

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

Tutorial

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.

Google Cloud Basics

Using GPUs with Dataflow

Using GPUs in Dataflow jobs lets you accelerate some of your machine learning and other compute intensive data processing tasks.

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Pricing

Pricing

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

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