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
- What is a compute target?
- How are we enterprise ready?
- How to use AmlCompute?
- Pricing for Azure Machine Learning
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