Accelerated cloud computing

Leverage GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization.

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Accelerated cloud computing

Scientists, artists, and engineers need access to massively parallel computational power. Google Cloud offers virtual machines with GPUs capable of up to 960 teraflops of performance per instance. Deep learning, physical simulation, and molecular modeling are accelerated with NVIDIA Tesla K80, P4, T4, P100, and V100 GPUs. Regardless of the size of your workload, GCP provides the perfect GPU for your job.


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BENIFITS

Several GPU types available
NVIDIA Tesla K80, P100, P4, T4, and V100 GPUs are available today, depending on your compute or visualization needs.
Bare metal performance
GPUs are offered in passthrough mode, directly attached to the virtual machine to provide maximum performance.
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.
Virtual workstations in the cloud
Run graphics-intensive applications including 3D visualization and rendering with NVIDIA GRID Virtual Workstations, supported on P4, P100, and T4 GPUs.

Features

PRICING

Leverage GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization.
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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