Hear from Aparna Ramani, Vice President of AI, Data & Developer Infrastructure Engineering at Meta and PyTorch Foundation Board Member, about Meta’s work together with AWS on PyTorch enhancements for AWS purpose-built ML chip Trainium.
The enhancements include native PyTorch support for Trainium powered Trn1 instances that enables developers to integrate PyTorch with their applications and a new XLA backend to TorchDistributed that makes it easy to migrate models to Trainium instances and leverage the speed of distributed training libraries and models.
Learn more about Amazon EC2 Trn1 Instances at https://go.aws/3YHrZa7.
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