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The Power of Two

The ultimate purpose behind the NVIDIA and Google Cloud partnership is to ensure the right capabilities and raw processing power are always at hand where and when you need them.

The NVIDIA T4, V100, P4, P100 and A100 GPUs are all generally available on Google Cloud Platform to accelerate multiple flavors of deep learning, analytics, physical simulation, video transcoding and molecular modeling.

NVIDIA V100 GPUs

The world's most powerful GPU

NVIDIA Tesla V100 gpus

Best performance for dense workloads like ML training and high performance computing (HPC).

With the power to accelerate the most demanding AI, high performance computing, data science, and graphics workloads, the NVIDIA V100 sits at the very forefront of data center GPU performance.

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NVIDIA T4 GPUs

Unrivaled technology and performance

NVIDIA T4 GPUs

Universal GPU, with best performance for distributed workloads like ML inference and model development, and next-generation graphics visualization.

NVIDIA T4 GPUs deliver revolutionary, multi-precision performance to accelerate a wide range of cloud workloads including analytics, virtualized graphics, video transcoding, and 3D rendering.

NVIDIA P100 GPUs

Advanced specifications and capabilities

NVIDIA P100 GPUs

Entry-level performance for dense workloads like ML training and HPC.

Crafted to deliver the world’s fastest compute node, the NVIDIA P100 powers superior strong-scaling performance for HPC and hyper scale applications.

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NVIDIA P4 GPUs

Exceptional agility and inspired design

NVIDIA P4 GPUs

Entry-level performance for distributed workloads like ML inference and model development, and video transcode.

Purpose-built to run deep learning workloads and enabling smart, responsive AI-based services, the NVIDIA P4 is the GPU for ultra-efficient scale out servers.

Accessing Processors on Google Cloud

Beyond directly selecting the processor you want via the Google Cloud console, you can select these GPUs on Google Cloud platforms and services, designed to provide you complete solutions for your workloads.
The top Google Cloud services are captured below.

Google Cloud services

Service

Description

GPUs
integrated

Artificial Intelligence I High Performance Computing I Data Analytics

Jupyter Notebooks for BERT training and inference | UNet inference

Yes

NVIDIA GPU Images: Tensorflow, Pytorch, MXNET, Caffe1, CNTEK, XGBoost, RAPIDS (NV ML library for Data Analytics) and generic CUDA  

Yes

Managed JupyterLab environments with TensorFlow/PyTorch/R and generic GPU flavors

Yes

AI Platform CMLE Prediction
GCP managed service for prediction/inference

Yes

AutoML Video Edge

Seamless integration of AutoML Edge Video with NVIDIA edge devices like Jetson Xavier, T4

Beta

Google Kubernetes Engine (GKE)
Managed Kubernetes

Yes

Anthos GKE on Prem
Application modernization Hybrid and multi cloud Both vSphere and bare metal options, including NVIDIA DGX

Yes

NVIDIA GPUs

NVIDIA
A100

NVIDIA
V100

NVIDIA
T4

NVIDIA
P4

Artificial Intelligence I High Performance Computing I Data Analytics
AI Platform CMLE Prediction
AI Platform CMLE Prediction

AutoML Video Edge

Google Kubernetes Engine (GKE)
Anthos GKE on Prem

Google Cloud services

Service

Description

GPUs
integrated

Graphics rendering

Zync

Batch rendering service

Yes

NVIDIA GPUs

NVIDIA
A100

NVIDIA
V100

NVIDIA
T4

NVIDIA
P4

Graphics rendering

 

Zync

Google Cloud services

Service

Description

GPUs
integrated

Graphics Visualization
Quadro Virtual Workstation
Virtual workstation solution that can be deployed from many regions on Google Cloud to provide a seamless, cloud native experience

Yes

Cloud DataFlow
Real-time batch and stream data processing

Yes

Cloud DataProc
Managed SPARK and Hadoop service

Yes

NVIDIA GPUs

NVIDIA
A100

NVIDIA
V100

NVIDIA
T4

NVIDIA
P4

Graphics Visualization
 
Quadro Virtual Workstation
Cloud DataFlow
Cloud DataProc

Big Query ML

Google Cloud services

Service

Description

GPUs
integrated

Management tools

Stackdriver

Can support via plugins

NVIDIA GPUs

NVIDIA
A100

NVIDIA
V100

NVIDIA
T4

NVIDIA
P4

Management tools
 

Stackdriver

The
Power of Two

and you

Book your discovery session now.

Sunpower

A faster route to solar power

SunPower harnesses the power of NVIDIA V100 GPU-enabled virtual machines on Google Cloud to help homeowners design their ideal solar solution in seconds, and bring clean, sustainable energy to homes across the US and beyond.

Jake wachman

Using NVIDIA GPUs through Google Cloud has helped us focus on core design problems, achieve our goals faster, and create new designs quickly.

Jake Wachman, Vice President, Digital, SunPower Corporation

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Power of Two

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