NVIDIA at AWS re:Invent 2021

Accelerate your workloads—from the cloud to the edge—with the power of NVIDIA GPUs and GPU-optimized software.

November 29–December 3, 2021

Connect virtually with NVIDIA at AWS re:Invent 2021 to learn about the amazing work we're doing together with AWS. See the latest innovations, spanning from the cloud to the edge, and find out more about the NVIDIA NGC catalog, a comprehensive collection of GPU-optimized software for deep learning (DL), machine learning (ML), and high-performance computing (HPC) that are tested and ready to run on AWS.

theCUBE Interview

Hear Ian Buck discuss the latest trends in ML and AI, how NVIDIA is partnering with AWS to deliver accelerated computing solutions, and how NVIDIA makes accessing AI solutions easier than ever.

Ian Buck, NVIDIA GM and VP of Accelerated Computing

Hear from AWS Experts

How to Select the Right Amazon EC2 GPU Instance and Optimize Performance for Deep Learning

Get all the information you need to make an informed choice for which Amazon EC2 NVIDIA GPU instance to use and how to get the most out of it using GPU-optimized software for your training and inference workloads.

Session ID: CMP328-S

Shashank Prasanna, AWS Developer Advocate

AWS Partner Network (APN) TV Sessions

Simplified AI Model Deployment with NVIDIA Triton Inference Server

NVIDIA Triton is open-source inference serving software for deploying DL and ML models from any framework (TensorFlow, NVIDIA® TensorRT, PyTorch, OpenVINO, ONNX Runtime, XGBoost, or custom) on GPU‑ or CPU‑based infrastructure. Join this session to learn how to use NVIDIA Triton in your AI workflows and maximize the AI performance on your GPUs and CPUs. Shankar Chandrasekaran, Sr. Product Marketing Manager of NVIDIA, discusses model deployment challenges, how NVIDIA Triton simplifies deployment and maximizes performance of AI models, how to use NVIDIA Triton on AWS, and a customer use case.

Shankar Chandrasekaran, NVIDIA Sr. Product Marketing Manager

Build ML Solutions Faster with the NVIDIA NGC Catalog on AWS Marketplace

ML has transformed many industries as organizations adopt AI to improve their operational efficiencies, increase customer satisfaction, and gain a competitive edge. But the process of training, optimizing, and running ML models to build AI-powered applications is complex and requires expertise. In this session, Abhilash Somasamudramath, NVIDIA Product Manager of AI Software, will show you how to use free GPU-optimized software available on the NGC catalog in AWS Marketplace to achieve your ML goals.

Abhilash Somasamudramath, NVIDIA AI Software Product Manager

Get Hands-On Experience

Get Hands-On Experience

Building a people counter with anomaly detection using AWS IoT and ML

Get started with AWS IoT Greengrass v2, NVIDIA DeepStream, and Amazon SageMaker Edge Manager with computer vision in this workshop. Learn how to make and deploy a video analytics pipeline and build a people counter and deploy it to an NVIDIA Jetson Nano edge device.

Session ID: IOT306

Ryan Vanderwerf, AWS Partner Solutions Architect
Yuxin Yang, AWS AI/ML IoT Architect


NVIDIA-powered Amazon EC2 instances

Machine Learning

Learn how to optimize your use of NVIDIA-powered Amazon EC2 instances for fast ML training and cost-effective ML inference.

NVIDIA RTX™ technology on AWS

Virtual Workstations

See how virtual workstations using the power of NVIDIA RTX technology on AWS enable studios to take on bigger projects, work from anywhere, and pay only for what they need.

High Performance Computing
Image courtesy of Altair Engineering, Inc. and Rimac Automobili

High-Performance Computing

Hear how AWS and NVIDIA enable customers to increase the speed of research and reduce time to results by running HPC in the cloud.

NVIDIA® Jetson™ Devices
Image courtesy of Postmates.

AI at the Edge

Learn how to seamlessly extend AWS to edge devices by using NVIDIA® Jetson devices, which act locally on the data they generate, while still using the cloud for management, analytics, and durable storage.

NVIDIA Developer Program

NVIDIA Developer Program

Get the advanced tools and training you need to successfully build applications on all NVIDIA technology platforms.

Stay up to date on NVIDIA and AWS.