Explore free sessions on accelerating AI in the cloud, choosing the right GPUs, and unlocking new possibilities

Keep up with the latest AI use cases and hear directly from researchers, technologists and engineers driving innovation. We have prepared several AWS sessions to give you guidance on how to leverage AWS services powered by NVIDIA technology to meet your goals. Amazon Elastic Compute Cloud (Amazon EC2) instances powered by NVIDIA GPUs deliver the scalable performance needed for fast ML training, cost-effective ML inference, flexible remote virtual workstations, and powerful HPC computations.

Event Sessions

GTC 2022 Keynote

Don’t miss this keynote from NVIDIA Founder and CEO, Jensen Huang. He will share how NVIDIA’s new computing platforms, cloud technologies, and advances in virtual collaboration are transforming every industry.
Tuesday, Sep 20, 8:00 AM PDT - 9:30 AM PDT

Scaling Deep Learning Training on Amazon EC2 using PyTorch

Join this session to learn the details of the PyTorch fully shared data parallel (FSDP) algorithm, which enables you to train deep learning models at scale.

Tuesday, Sep 20 2:00 PM - 2:50 PM PDT

A Developer’s Guide to Choosing the Right GPUs for Deep Learning

As a deep learning developer or data scientist, choosing the right GPU for deep learning can be challenging. On AWS you can choose from multiple NVIDIA GPU-based Amazon EC2 compute instances based on your training and deployment requirements.

Real-Time Design in the Cloud with NVIDIA Omniverse on Amazon EC2

By deploying NVIDIA Omniverse Nucleus – Universal Scene Description (USD) collaboration engine - on Amazon EC2 On-Demand compute instances, Omniverse is able to scale to meet the demands of global teams.
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GTC 2022 Keynote

Don’t miss this keynote from NVIDIA Founder and CEO, Jensen Huang. He will share how NVIDIA’s new computing platforms, cloud technologies, and advances in virtual collaboration are transforming every industry.
View the session »




Scaling Deep Learning Training on Amazon EC2 using PyTorch

Join this session to learn the details of the PyTorch fully shared data parallel (FSDP) algorithm, which enables you to train deep learning models at scale.
View the session »




A Developer’s Guide to Choosing the Right GPUs for Deep Learning

As a deep learning developer or data scientist, choosing the right GPU for deep learning can be challenging. On AWS you can choose from multiple NVIDIA GPU-based Amazon EC2 compute instances based on your training and deployment requirements.
View the session »




Real-Time Design in the Cloud with NVIDIA Omniverse on Amazon EC2

By deploying NVIDIA Omniverse Nucleus – Universal Scene Description (USD) collaboration engine - on Amazon EC2 On-Demand compute instances, Omniverse is able to scale to meet the demands of global teams.
View the session »




Accelerate and Scale GNNs with Deep Graph Library and GPUs

Amazon and NVIDIA will discuss the recent improvements of DGL on NVIDIA GPUs in the DGL 0.9 release cycle resulting from the partnership. Join to learn the benefits of having an integrated graph analytics and graph neural network environment for users wanting to calculate graph embeddings at scales.
View the session »


5G Killer App: Making Augmented and Virtual Reality a Reality

Verizon, AWS, and Ericsson will share how they're collaborating to combine 5G and XR technology with NVIDIA GPUs, RTX vWS, and CloudXR to build the infrastructure for commercial XR services across a variety of industries.
View the session »