Level: 300
Since the release of PyTorch in 2017, hardware accelerators have gotten faster, and Arm-based server processors were introduced to the cloud. PyTorch 2.0 improvements take advantage of the growing landscape of new compute capabilities, reducing framework overhead as well as supporting Arm Compute Library. In this session we will cover the cost reduction and performance gains of Graviton and how to get started with AWS EC2 Graviton and Amazon SageMaker.
Learning objectives
- PyTorch performance improvement on Graviton (CPU based instances).
- PyTorch 2.0 updates since PyTorch 1.13.
- How to get started with PyTorch 2.0 on Graviton.
Who should watch?
Customers looking to optimize cost and performance of workloads that use PyTorch on AWS
Speaker(s)
Hahnara Hyun, Sr SSA, Amazon Web Services (AWS)
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-adds-new-graviton-based-instances-model-deployment
Intro body copy here about 2018 re:Invent launches.
Download the slides
Compute
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.
Data Lakes & Analytics
Webinar 1:
What's New / Cloud Innovation
December 10th, 2018 | 11:00 AM PT
EMBARGOED
Register Now>