AWS Developers | Machine Learning in 15: Amazon SageMaker High-Performance Inference at Low Cost @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
π Get started with Amazon SageMaker: aws.amazon.com/sagemaker/deploy
High-performance, cost-effective model deployment is critical to maximizing the return on your ML investments. Amazon SageMaker provides the breadth and depth of fully managed deployment features for you to achieve the best inference performance and cost while reducing the operational burden of deploying and managing models in production. In this session, see the latest SageMaker inference innovations to quickly deploy ML models in production at scale.
π₯πΌ Download slides: pages.awscloud.com/rs/112-TZM-766/images/2023_SN-0913-MCL_Slide-Deck.pdf
π Subscribe to AWS Developers on YouTube: youtube.com/@awsdevelopers?sub_confirmation=1
Follow AWS Developers:
πΎ Twitch: twitch.tv/aws
π¦ Twitter: twitter.com/awsdevelopers
π» LinkedIn: linkedin.com/showcase/aws-developers
#aws #amazonsagemaker
π Get started with Amazon SageMaker: aws.amazon.com/sagemaker/deploy
High-performance, cost-effective model deployment is critical to maximizing the return on your ML investments. Amazon SageMaker provides the breadth and depth of fully managed deployment features for you to achieve the best inference performance and cost while reducing the operational burden of deploying and managing models in production. In this session, see the latest SageMaker inference innovations to quickly deploy ML models in production at scale.
π₯πΌ Download slides: pages.awscloud.com/rs/112-TZM-766/images/2023_SN-0913-MCL_Slide-Deck.pdf
π Subscribe to AWS Developers on YouTube: youtube.com/@awsdevelopers?sub_confirmation=1
Follow AWS Developers:
πΎ Twitch: twitch.tv/aws
π¦ Twitter: twitter.com/awsdevelopers
π» LinkedIn: linkedin.com/showcase/aws-developers
#aws #amazonsagemaker