Boost Performance and Scale Artificial Intelligence, HPC, and Visualization Workloads

Diagnosing cancer. Predicting hurricanes. Automating business operations for improved efficiencies. These are some of the breakthroughs possible when you use accelerated compute to uncover the insights hiding in vast volumes of data. AWS and NVIDIA have partnered to deliver the most powerful and advanced GPU-accelerated cloud to help clients build a more intelligent future.

A new partnership is advancing the hybrid cloud to power modern enterprise workloads.

Deep-learning tools save us tens of millions, if not hundreds of millions, of dollars over many years.

- Steve Phillpott, CIO, Western Digital

With Amazon EC2 P3 instances, we have the ability to run training workloads faster, enabling us to iterate more, build better machine learning models, and reduce cost.

- Nick Handel, Head of ML, Airbnb

P3 instances gives our customers the ability to bring lifesaving drugs to market more quickly…P3 instances with their high-performance GPUs allow us to perform 4X as many simulations in a day as we could with P2 instances.

- Robert Abel, Senior Vice President of Science, Schrödinger

GPU-Accelerated Cloud Services

AMAZON EC2 G4

Automated human-like customer service, cinematic-quality PC gaming, professional NVIDIA Quadro® workstations on any device—these capabilities are now available to AWS users with the NVIDIA T4 GPU general availability in North America, Europe, and Asia.

Powering the Amazon EC2 G4 instance, NVIDIA T4 GPUs bring a compute-versatility and efficiency so users can leverage a single instance to accelerate multiple types of workloads seamlessly and more cost-efficiently

 

EC2 G4 (NVIDIA T4)

Universal Accelerator for All Workloads, Including Gaming

EC2 G4 (NVIDIA T4)

EC2 P3 (NVIDIA® Tesla® V100)

Highest Performance for Compute and Graphics Workstations

EC2 P3 (NVIDIA® Tesla® V100)

EC2 P2 (NVIDIA Tesla K80)

Entry-Level Compute

EC2 P2 (NVIDIA Tesla K80)

EC2 G3 (NVIDIA Tesla M60)

Graphic Workstations

EC2 G3 (NVIDIA Tesla M60)

NGC Containers

Run a broad range of deep learning, machine learning, high-performance computing (HPC), and visualization applications on Amazon EC2 P3 and G4 instances with quick, easy access to performance-engineered containers from the NGC software hub. NGC also offers pre-trained models and scripts to build optimized models for common uses cases like image classification, object detection, text-to-speech, and more. To run NGC containers and take full advantage of NVIDIA V100 and T4 GPUs on AWS, NVIDIA developed the NVIDIA Volta Deep Learning AMI, available from the AWS Marketplace.

GET STARTED WITH NGC

The Fast, Powerful Cloud for Accelerated Computing and Visualization

Apache MXNET

Apache MXNet is a fast, scalable training and inference deep learning framework. It includes the Gluon interface to let developers of all skill levels get started with deep learning in the cloud, edge devices, and mobile apps. Working with NVIDIA, AWS engineers and researchers have pre-optimized neural machine translation (NMT) algorithms on Apache MXNet. This approach allows developers and data scientists to train faster than ever before on NVIDIA Volta-based platforms.

Sign up for an AWS account to get instant access to the AWS Free Tier and start building with MXNet.

GPU-Accelerated Virtualized Graphics

The NVIDIA Quadro Virtual Workstation (Quadro vWS) AMI for GPU-accelerated graphics helps creative and technical professionals maximize their productivity from anywhere by accessing the most demanding professional design and engineering applications from the cloud. The new G4 instances, combined with the Quadro vWS AMI enables the industry’s most advanced 3D graphics platform, including the latest real-time ray tracing with NVIDIA RTX technology in a virtual machine. NVIDIA M60 (G3) and V100 (P3) GPUs are also supported. All the instances are available on Windows Server 2016, Windows Server 2019, and Ubuntu 18.04.

GPU-ACCELERATED VIRTUALIZED GRAPHICS

GPU-Accelerated Virtualized Graphics

The NVIDIA Quadro Virtual Workstation (Quadro vWS) AMI for GPU-accelerated graphics helps creative and technical professionals maximize their productivity from anywhere by accessing the most demanding professional design and engineering applications from the cloud. The new G4 instances, combined with the Quadro vWS AMI enables the industry’s most advanced 3D graphics platform, including the latest real-time ray tracing with NVIDIA RTX technology in a virtual machine. NVIDIA M60 (G3) and V100 (P3) GPUs are also supported. All the instances are available on Windows Server 2016, Windows Server 2019, and Ubuntu 18.04.

GPU-POWERED CLOUD GAMING

The NVIDIA Gaming AMI driver enables cloud gaming on NVIDIA T4 server GPUs. Games can be streamed at resolutions up to 4K and 60 FPS. The new G4 instance type features the NVIDIA T4 GPU and supports this driver on Windows Server 2016, Windows Server 2019, and 64-bit Ubuntu (18.04).

Access the Power of AWS and NVIDIA

Amazon EC2 P3 Instances

Optimized Containers from NGC