Productionizing ML on Google Cloud
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134 дня – 3 31117:14Опубликовано 15 сентября 2020, 17:14
The hardest part of ML adoption in enterprise is productinization. As we see in recent discussions around ML Ops, there are many gaps between Data Scientists' PoC Notebook and production ML system manageable by an Ops team. Tensorflow Enterprise is a platform that allows you to fill the gap. In this video, we showcase how Tensorflow Enterprise scales for enterprise production and is able to be easily managed by your Ops team. Watch to learn how you can utilize the different tools that Tensorflow Enterprise offers to increase manageability, scalability, portability and optimize performance of your production AI services.
Get started with TensorFlow today → g.co/cloud/TensorFlow
Watch more Google Cloud Demos → goo.gle/google_cloud_demos
Subscribe to get all the episodes as they come out → goo.gle/GCP
product: Tensorflow Enterprise; fullname: Yufeng Guo;
Get started with TensorFlow today → g.co/cloud/TensorFlow
Watch more Google Cloud Demos → goo.gle/google_cloud_demos
Subscribe to get all the episodes as they come out → goo.gle/GCP
product: Tensorflow Enterprise; fullname: Yufeng Guo;
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