GPU-Accelerated
Amazon Web Services

Boost Performance and Scale Deep Learning and HPC Applications.

Developers, data scientists, and researchers are solving today’s complex challenges with breakthroughs in artificial intelligence, deep learning, and high performance computing (HPC). NVIDIA is working with Amazon Web Services to offer the newest and most powerful GPU-accelerated cloud service based on the latest NVIDIA Volta architecture: Amazon EC2 P3 instance.

Using up to eight NVIDIA® Tesla® V100 GPUs, you will be able to train your neural networks with massive data sets using any of the major deep learning frameworks faster than ever before. Then use the capabilities of GPU parallel computing, running billions of computations, to infer and identify known patterns or objects. With over 500 GPU-accelerated HPC applications accelerated, including the top ten HPC applications and every deep learning framework, you can quickly tap into the power of the Tesla V100 GPUs on AWS to boost performance, scale-out, accelerate time to results, and save money.

GPU-Accelerated Cloud Services Details

Amazon EC2 P3 Instances

Powerful, scalable GPU-based instances for deep learning and HPC

Amazon EC2 P3 Instances are powerful, scalable instances that provide Tesla V100 GPU-based parallel compute capabilities to train even deeper models, pushing the limits of AI. Tesla V100, based on the Volta architecture and equipped with 640 Tensor Cores, provides the breakthrough performance of 125 TeraFLOPS of mixed precision deep learning performance.

Sign up for an AWS account. Instantly get access to the AWS Free Tier.

Amazon EC2 G3 Instances

GPU-based instances optimized for graphics-intensive applications

Amazon EC2 G3 Instances are the third generation of GPU-powered instances, serving the most demanding graphics workloads like 3D rendering and data visualization. Backed by NVIDIA Tesla M60 GPUs, G3 instances offer double the CPU power per GPU and double the host memory per GPU. With support for NVIDIA GRID Virtual Workstation capabilities, G3 instances speed video frame processing and improve image fidelity for graphics workloads.

Sign up for an AWS account. Instantly get access to the AWS Free Tier. Get the NVIDIA GRID and Tesla GPU Driver.

NVIDIA GPU Cloud

NVIDIA GPU Cloud

Easy access to performance-engineered deep learning framework containers

NVIDIA GPU Cloud (NGC) manages a comprehensive catalog of deep learning framework containers that are tuned, tested, and certified by NVIDIA to run on Amazon EC2 P3 instances. NVIDIA optimizes all of the top frameworks, including TensorFlow, PyTorch, and MXNet delivered in ready-to-run containers, including all necessary dependencies such as CUDA runtime, NVIDIA libraries, and an operating system. To run the containers on AWS and take full advantage of Volta, NVIDIA developed the NVIDIA Volta Deep Learning AMI for NGC, available from the AWS Marketplace.

Apache MXNet

Fast, scalable training and inference deep learning framework

Apache MXNet includes the Gluon interface that allows developers of all skill levels to get started with deep learning on the cloud, on edge devices, and on 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 the fastest way now possible on Volta-based platforms.

Sign up for an AWS account to instantly get access to the AWS Free Tier. Start building with MXNet.

Access the Power of AWS and Volta

Boost Performance and Scale Deep Learning and HPC Applications.