Save costs training on AMLCompute

From the creator

With ever changing data and customer signals continuous training and retraining can incur higher costs, especially on GPUs for deep learning models. In AzureML, we have heard this concern loud and clear, and we want to share some tips to manage your costs and spend your budget wisely. Come learn about the latest updates to AMLcompute including some tips on saving costs. 00:40 - Introduction 03:22- Demo of enterprise ready features of AMLcompute 10:40- Demo of saving costs on AMLcompute Learn More: What is a compute target? https://aka.ms/ComputeTargets How are we enterprise ready? https://aka.ms/Enterpriseaml How to use AmlCompute? https://aka.ms/UseAMLCompute Pricing for Azure Machine Learning https://aka.ms/PricingTiers Follow #azureml https://twitter.com/hashtag/azureml?lang=en The AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show: https://aka.ms/aishowsubscribe Create a Free account (Azure): https://aka.ms/aishow-seth-azurefree Deep Learning vs. Machine Learning: https://aka.ms/AIShow/DLvML Get Started with Machine Learning: https://aka.ms/AIShow/StartML Follow: https://twitter.com/sethjuarez Follow: https://twitter.com/ch9 Follow: https://twitter.com/Azure Follow: https://twitter.com/msdev #ai #microsoftai #azuremachinelearning #azureml

Published 2019-12-17 · Watch on YouTube ↗
Availability and playback restrictions are controlled by the original channel.