Inspiration
learn PyTorch on AWS
What it does
This workshop is geared towards anyone that is looking to leverage machine learning and learn how PyTorch can accelerate the path from research prototyping to a production deployment. Whether you are an aspiring PyTorch enthusiast, just stopping by out of curiosity, or working at a company that uses PyTorch today, this workshop will make it easy to build and serve models in production on AWS. This workshop is centered around using TorchServe on AWS and is complimented with foundational PyTorch knowledge and hands-on lab
How we built it
Amazon SageMaker AWS Deep Learning AWS Deep Learning Containers
Challenges we ran into
learning deploy PyTorch models
Accomplishments that we're proud of
Complete knowledge and hands-on lab
What we learned
PyTorch on AWS using Amazon SageMaker, a fully managed machine learning service that makes it easy and cost-effective to build, train, and deploy PyTorch models at scale. If you prefer to manage the infrastructure yourself, you can use the AWS Deep Learning AMIs or the AWS Deep Learning Containers
What's next for PyTorch models in production with the Amazon SageMaker
start deploying my PyTorch models
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