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ABOUT THIS EPISODE
On this episode from our #MSBuild recap, Sethu Raman is here to highlight how Managed Endpoints provides out-of-box capabilities to operationalize models. Sethu will demo how to deploy and score a GPU model: highlighting dev experience with CLI & local deployment and how to perform safe rollout: highlighting metrics, log analytics integration. Jump to:[00:16] AI Show welcomes welcomes Sethu[00:38] How Managed Online Endpoints supports Azure Machine Learning[02:20] Intro to Endpoint concepts and deployments[03:16] Demo 1 - Deploy and score a GPU model[07:40] Demo 2 - Perform safe rollout[11:11] Deployment slots with different models Learn more:How do deploy Managed Online Endpoints: https://aka.ms/AIShow/HowToDeploy/ManagedEndpoints AI Show Live: https://aka.ms/AIShowCreate a Free account (Azure) https://aka.ms/aishow-seth-azurefreeGet Started with Machine Learning https://aka.ms/AIShow/StartMLAI for Developers https://aka.ms/AIShow/AIforDevelopersAzure Machine Learning https://aka.ms/AIShow/AzureML Follow Seth https://twitter.com/sethjuarezFollow Sethu https://twitter.com/Sethu20Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribe Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive
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On this episode from our #MSBuild recap, Gary Pretty is back to showcase the very latest in Azure Bot Service and demo how to build and deploy your bot in just a few steps!
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