AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
8min chapter
MLOps Coffee Sessions #1: Serving Models with Kubeflow
MLOps.community
Deploying and Customizing Machine Learning Models on Kubeflow
The chapter explores the challenges of deploying and customizing machine learning models, focusing on serving models on Kubeflow. It delves into the flexibility of using Kubeflow to serve various model formats like TensorFlow, PyTorch, and custom models, discussing deployment methods using Python SDK, Selden, and Kubernetes YAML files, as well as the concept of K-native serving for deploying serverless containers.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode