From 0651075dc4f2447726e5b424cf81b881a053860d Mon Sep 17 00:00:00 2001 From: Animesh Singh Date: Wed, 6 Oct 2021 20:29:19 -0700 Subject: [PATCH] Update README.md (#1861) --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 2d77f6c23a4..e1fad59e630 100644 --- a/README.md +++ b/README.md @@ -10,13 +10,13 @@ KServe provides a Kubernetes [Custom Resource Definition](https://kubernetes.io/ It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and Canary Rollouts to your ML deployments. It enables a simple, pluggable, and complete story for Production ML Serving including prediction, pre-processing, post-processing and explainability. KServe is being [used across various organizations.](https://kserve.github.io/website/community/adopters/) -![KServe](/docs/diagrams/kserve.png) +For more details, visit [KServe website](https://kserve.github.io/website/) +![KServe](/docs/diagrams/kserve.png) -_Since 0.7 KFServing is rebranded to KServe, we still support previous KFServing [0.5.x](https://github.com/kserve/kserve/tree/release-0.5) and +_Since 0.7 [KFServing is rebranded to KServe](https://blog.kubeflow.org/release/official/2021/09/27/kfserving-transition.html), we still support previous KFServing [0.5.x](https://github.com/kserve/kserve/tree/release-0.5) and [0.6.x](https://github.com/kserve/kserve/tree/release-0.6) releases, please refer to corresponding release branch for docs_. - ### Learn More To learn more about KServe, how to deploy it as part of Kubeflow, how to use various supported features, and how to participate in the KServe community, please follow the [KServe website documentation](https://kserve.github.io/website).