Skip to main content

KServe Presentations and Demos

This page contains a collection of presentations, demos, and talks about KServe from various conferences, meetups, and community events. If you'd like to add a presentation or demo here, please send a pull request to the KServe website repository.

Conference Talks by Year

2023

EventTitleSpeaker(s)Resources
KubeCon EUThe State and Future of Cloud Native Model ServingDan Sun, Theofilos PapapanagiotouVideo
Kubeflow SummitScale your Models to Zero with Knative and KServeJooho LeeVideo
Kubeflow SummitWhat to choose? ModelMesh vs Model Serving?Vaibhav JainVideo
KubeConPlatform Building Blocks: How to Build ML Infrastructure with CNCF ProjectsYuzhui Liu, Leon ZhouInfo
ML Systems ConferenceOptimizing Load Balancing and Autoscaling for LLM Inference on KubernetesDavid GrayVideo
ML/AI ConferenceBest Practices for Deploying LLM Inference, RAG and Fine Tuning PipelinesMeenakshi Kaushik, Shiva Krishna MerlaVideo
KubeConProduction AI at Scale: Cloudera's Journey Adopting KServeZoram Thanga, Peter AbledaVideo
KubeConFrom Bash Scripts to Kubeflow and GitOps: Our Journey to Operationalizing ML at ScaleLuca Grazioli, Dennis OhrndorfVideo
KubeConProduction-Ready AI Platform on KubernetesYuan TangVideo
KubeConFortifying AI Security in Kubernetes with Confidential ContainersSuraj Deshmukh, Pradipta BanerjeeVideo
KubeCon AI DaysAdvancing Cloud Native AI Innovation Through Open CollaborationYuan TangVideo
KubeConEngaging the KServe CommunityAdam Tetelman, Taneem Ibrahim, Johnu George, Tessa Pham, Andreea MunteanuVideo

2022

EventTitleSpeaker(s)Resources
KubeCon AI DaysExploring ML Model Serving with KServeAlexa Nicole GriffithVideo
KubeCon AI DaysEnhancing the Performance Testing Process for gRPC Model Inferencing at ScaleTed Chang, Paul Van EckVideo
KubeCon Edge DaysModel Serving at the Edge Made EasierPaul Van EckVideo
KnativeConHow We Built an ML inference Platform with KnativeDan SunVideo

2021

EventTitleSpeaker(s)Resources
KubeCon AI DaysServing Machine Learning Models at Scale Using KServeYuzhui LiuVideo
KubeConServing Machine Learning Models at Scale Using KServeAnimesh SinghVideo
KubeCon ChinaAccelerate Federated Learning Model Deployment with KServeFangchi Wang & Jiahao ChenVideo

2020

EventTitleSpeaker(s)Resources
NVIDIA GTCAccelerate and Autoscale Deep Learning Inference on GPUs with KFServingDan Sun, David GoodwinVideo
ICML WorkshopServerless inferencing on KubernetesClive CoxVideo
Serverless SummitServerless Machine Learning Inference with KFServingClive Cox, Yuzhui LiuVideo
Kubeflow DojoKFServing - Production Model Serving PlatformAnimesh Singh, Tommy LiVideo
Kubeflow DojoDemo - KFServing End to End through NotebookAnimesh Singh, Tommy LiVideo
Kubeflow DojoDemo - KFServing with Kafka and Kubeflow PipelinesAnimesh SinghVideo
Kubeflow CommunityKFServing - Enabling Serverless Workloads Across Model FrameworksEllis TarnVideo
Google CloudKubeflow 101: What is KFServing?Stephanie WongVideo
Anchor MLOpsMLOps Coffee Sessions - Serving Models with KubeflowDavid Aponte, Demetrios BrinkmannPodcast

2019

EventTitleSpeaker(s)Resources
KubeConIntroducing KFServing: Serverless Model Serving on KubernetesDan Sun, Ellis TarnVideo
KubeConAdvanced Model Inferencing Leveraging KNative, Istio & Kubeflow ServingAnimesh Singh, Clive CoxVideo

Books and Publications

Books

"Distributed Machine Learning Patterns"

  • Author: Yuan Tang
  • Publisher: Manning Publications
  • Description: Covers distributed machine learning patterns including model serving with KServe
  • Book Repository

Community Demos and Tutorials

Live Demos and Tutorials

"MLOps Meetup: KServe Live Coding Session"

  • Speaker: Theofilos Papapanagiotou
  • Features Shown: Building a KServe deployment from scratch
  • Video