Google Cloud

GPU-Accelerated
Google Cloud Platform

The Fast, Powerful Cloud for Accelerated Computing and Visualization

Together, NVIDIA and Google Cloud Platform (GCP) are helping organizations achieve faster results to solve data challenges—without massive expenditures or complex infrastructure management. Leverage NVIDIA GPUs to accelerate deep learning, analytics, science simulation, and other high-performance computing (HPC) workloads and NVIDIA Quadro® Virtual Workstations with GCP to accelerate rendering, simulation, and graphics-intensive workloads from anywhere.

GPUs on Google Cloud

TESLA T4

The NVIDIA® Tesla® T4 is the universal accelerator with low profile 70W design to supercharge any scale-out cloud deployment. Powered by Turing™ Tensor Cores, T4 brings revolutionary multi-precision AI performance to accelerate the diverse applications of modern AI. T4 is optimized for machine learning, deep learning, virtualized graphics, video transcoding, 3D rendering and HPC.

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TESLA T4

The NVIDIA® Tesla® T4 GPU is the world’s most advanced inference accelerator. Powered by NVIDIA Turing Tensor Cores, T4 brings revolutionary multi-precision inference performance to accelerate the diverse applications of modern AI. Packaged in an energy-efficient 75-watt, small PCIe form factor, T4 is optimized for scale-out servers and is purpose-built to deliver state-of-the-art inference in real time.

Tesla P4

AI Inference and Graphics Virtualization

Tesla P4

Tesla V100

Highest Performance for Compute and Graphics Virtualization

Tesla V100

Tesla P100

Compute and Graphics Virtualization

Tesla P100

Tesla K80

Entry-Level Compute

Tesla K80

NVIDIA GPU Cloud

GPU-Accelerated Containers from NGC

NGC provides simple access to pre-integrated and GPU-optimized containers for deep learning software, HPC applications, and HPC visualization tools that take full advantage of NVIDIA Tesla V100, P100 and T4 GPUs on Google Cloud Platform. It also offers pre-trained models and scripts to build optimized models for common uses cases like classification, detection, text-to-speech, and more. Now, you can deploy production-quality, GPU-accelerated software in just minutes.

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NVIDIA TensorRT

NVIDIA TensorRT

NVIDIA TensorRT™ is a high-performance deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications. Optimize neural network models, calibrate for lower precision with high accuracy, and deploy models to Google Cloud Platform. And because it’s tightly integrated with TensorFlow, you get TensorFlow’s flexibility with TensorRT’s powerful optimizations.

Google Kubernetes Engine

NVIDIA GPUs and Google Kubernetes Engine

NVIDIA GPUs in Google Kubernetes Engine turbocharge compute-intensive applications like machine learning, image processing, and financial modeling by scaling to hundreds of GPU-accelerated instances. Package your GPU-accelerated applications into containers and benefit from the massive processing power of Google Kubernetes Engine and NVIDIA Tesla V100, P100, or K80 GPUs whenever you need them, without having to manage hardware or virtual machines (VMs).

NVIDIA GRID

GPU-Accelerated Virtualized Graphics

NVIDIA Quadro Virtual Workstations for GPU-accelerated graphics enable creative and technical professionals to maximize their productivity from anywhere by accessing the most demanding professional design and engineering applications from the cloud. Designers and engineers now have the flexibility to run virtual workstations on NVIDIA T4, V100, P100, and P4 GPUs directly from Google Cloud or from the Google Cloud Platform marketplace, which includes support for Windows Server 2016, Windows Server 2019, and Ubuntu 18.04.

AI is the most important technology development of our time, with the greatest potential to help society. As the world’s leading cloud providers deploy the world’s best AI platform with Volta GPUs and NVIDIA software, we’ll see amazing breakthroughs in medicine, autonomous transportation, precision manufacturing, and much more.

– Jensen Huang, Founder and CEO, NVIDIA

[GPUs] with Kubernetes provide a powerful, cost-effective, and flexible environment for enterprise-grade machine learning. Ocado chose Kubernetes for its scalability, portability, strong ecosystem, and huge community support... It also has great ease-of-use and the ability to attach GPUs to provide a huge boost over traditional CPUs.

– Martin Nikolov, Research Software Engineer, Ocado

AI is the most important technology development of our time, with the greatest potential to help society. As the world’s leading cloud providers deploy the world’s best AI platform with Volta GPUs and NVIDIA software, we’ll see amazing breakthroughs in medicine, autonomous transportation, precision manufacturing, and much more.

– Jensen Huang, Founder and CEO, NVIDIA

AI is the most important technology development of our time, with the greatest potential to help society. As the world’s leading cloud providers deploy the world’s best AI platform with Volta GPUs and NVIDIA software, we’ll see amazing breakthroughs in medicine, autonomous transportation, precision manufacturing, and much more.

– Jensen Huang, Founder and CEO, NVIDIA

AI is becoming increasingly pervasive, and inference is a critical capability customers need to successfully deploy their AI models, so we’re excited to support NVIDIA’s Turing Tesla T4 GPUs on Google Cloud Platform soon.

– Chris Kleban, Product Manager,Google Cloud .

AI is becoming increasingly pervasive, and inference is a critical capability customers need to successfully deploy their AI models, so we’re excited to support NVIDIA’s Turing Tesla T4 GPUs on Google Cloud Platform soon.

– Chris Kleban, Product Manager, Google Cloud.

[GPUs] with Kubernetes provide a powerful, cost-effective, and flexible environment for enterprise-grade machine learning. Ocado chose Kubernetes for its scalability, portability, strong ecosystem, and huge community support... It also has great ease-of-use and the ability to attach GPUs to provide a huge boost over traditional CPUs.

– Martin Nikolov, Research Software Engineer, Ocado

[GPUs] with Kubernetes provide a powerful, cost-effective, and flexible environment for enterprise-grade machine learning. Ocado chose Kubernetes for its scalability, portability, strong ecosystem, and huge community support... It also has great ease-of-use and the ability to attach GPUs to provide a huge boost over traditional CPUs.

– Martin Nikolov, Research Software Engineer, Ocado

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GPUs on Google Cloud Platform
NGC on Google Cloud Platform
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