Operationalizing large scale machine learning (ML) on Cloud TPUs with Google Kubernetes Engine (GKE)
Large scale models unlock game-changing capabilities for end users, but training these models efficiently is hard and operationalizing the large-scale training is harder still. Learn how companies use Cloud TPUs to train their large scale generative models and how Cloud TPUs in GKE enables state-of-the-art infrastructure for full ML life cycle.
Speakers: Vaibhav Singh, Yoav HaCohen, Matt Hoffman
Watch more:
All sessions from Google Cloud Next → https://goo.gle/next23
#GoogleCloudNext
DEV212
Google Cloud Tech
Helping you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning....