Hosted Workshops

🛠️ Workshop: A Tour of PyTorch 2.0

Learn about PyTorch 2.0 with a deep dive into the technology stack that powers the new torch.compile() API: TorchDynamo, AITAutograd, PrimTorch and TorchInductor. The new compiler stack reduces training times across a wide range of workloads while being fully backwards compatible. Bring your laptops, or connect to remote GPU powered systems to run the examples.

🛠️ Workshop: PyTorch Distributed Training on AWS

Learn how to efficiently scale your training workloads to multiple instances with Amazon SageMaker. SageMaker manages your compute, storage and networking infrastructure, simply bring in your PyTorch code and learn how to distribute training across large number of CPUs and GPUs.

Relevant blog posts

AI Accelerators and Machine Learning Algorithms: Co-Design and Evolution

Choosing the right GPU for deep learning on AWS

How Docker Runs Machine Learning on NVIDIA GPUs, AWS Inferentia, and Other Hardware AI Accelerators

A complete guide to AI accelerators for deep learning inference — GPUs, AWS Inferentia and Amazon Elastic Inference