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:
* Objective 1: PyTorch performance improvement on Graviton (CPU based instances)
* Objective 2: PyTorch 2.0 updates since PyTorch 1.13
* Objective 3: How to get started with PyTorch 2.0 on Graviton
***To learn more about the services featured in this talk, please visit: https://github.com/aws/deep-learning-containers/blob/master/available_images.md https://pytorch.org/blog/pytorch-2.0-release/ https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-adds-new-graviton-based-instances-model-deployment/ https://github.com/aws/aws-graviton-getting-started/blob/main/machinelearning/pytorch.md
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Deep-Dive-PyTorch-20-on-Graviton_2023_OTT-OD-0701-NGI_OD Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
Follow Amazon Web Services:
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Twitter: https://twitter.com/awsdevelopers
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☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
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Learning Objectives:
* Objective 1: PyTorch performance improvement on Graviton (CPU based instances)
* Objective 2: PyTorch 2.0 updates since PyTorch 1.13
* Objective 3: How to get started with PyTorch 2.0 on Graviton
***To learn more about the services featured in this talk, please visit: https://github.com/aws/deep-learning-containers/blob/master/available_images.md https://pytorch.org/blog/pytorch-2.0-release/ https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-adds-new-graviton-based-instances-model-deployment/ https://github.com/aws/aws-graviton-getting-started/blob/main/machinelearning/pytorch.md
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Deep-Dive-PyTorch-20-on-Graviton_2023_OTT-OD-0701-NGI_OD Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices
☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
#AWS
- Category
- AWS Developers
- Tags
- AWS EC2, AWS Gravaiton, Arm-based Instances
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