Add Canonical Logo #262
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Add Canonical Logo #262
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Signed-off-by: Andrews Arokiam <andrews.arokiam@ideas2it.com>
Signed-off-by: Dan Sun <dsun20@bloomberg.net>
Signed-off-by: Andrew Sun <andrewroblox550@gmail.com>
* Create 2022-07-21-KServe-0.9-release.md Signed-off-by: Dan Sun <dsun20@bloomberg.net> * Update mkdocs.yml Signed-off-by: Dan Sun <dsun20@bloomberg.net> * Update 2022-07-21-KServe-0.9-release.md Signed-off-by: Dan Sun <dsun20@bloomberg.net> * add inference graph image Signed-off-by: Dan Sun <dsun20@bloomberg.net> * update image path Signed-off-by: Dan Sun <dsun20@bloomberg.net> * update blog link Signed-off-by: Dan Sun <dsun20@bloomberg.net> * Add full release notes Signed-off-by: Dan Sun <dsun20@bloomberg.net>
Signed-off-by: Dan Sun <dsun20@bloomberg.net>
Signed-off-by: Xin Fu <xfu83@bloomberg.net>
Signed-off-by: Dan Sun <dsun20@bloomberg.net>
* Add grpcurl example for triton Signed-off-by: Xin Fu <xfu83@bloomberg.net> * Update input-grpc.json Signed-off-by: Xin Fu <xfu83@bloomberg.net> * Add ModelInfer example Signed-off-by: Xin Fu <xfu83@bloomberg.net> Signed-off-by: Xin Fu <xfu83@bloomberg.net>
* Sync trition transformer code Signed-off-by: Xin Fu <xfu83@bloomberg.net> * Add filename to the code snippet as title Signed-off-by: Xin Fu <xfu83@bloomberg.net> * Update release version Signed-off-by: Dan Sun <dsun20@bloomberg.net> Signed-off-by: Xin Fu <xfu83@bloomberg.net> Signed-off-by: Dan Sun <dsun20@bloomberg.net> Co-authored-by: Dan Sun <dsun20@bloomberg.net>
* Update custom model to use docs from 0.9 branch Signed-off-by: Dan Sun <dsun20@bloomberg.net> * Update README.md Signed-off-by: Dan Sun <dsun20@bloomberg.net> * Update runtime.txt Signed-off-by: Dan Sun <dsun20@bloomberg.net> Signed-off-by: Dan Sun <dsun20@bloomberg.net>
Signed-off-by: Dan Sun <dsun20@bloomberg.net> Signed-off-by: Dan Sun <dsun20@bloomberg.net>
Signed-off-by: Dan Sun <dsun20@bloomberg.net>
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@andreeamun thanks for adding the logo ! I think you need a rebase from the main branch. |
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I am the MLOps Product Manager at Canonical, the publisher behind Ubuntu. We have been using KFServing and these days KServe for model inference. With the release of 1.7 (Beta goes live on the 8th of March), it will be part of the default bundle. Until now, it could have been related manually.
We are packaging KServe as a charm, which is going to be published on https://charmhub.io/
Daniela Plasencia is part of our engineering team who mainly worked on the technical side of it. Repo for reference: https://github.com/canonical/kserve-operators
-Added Charmed Kubeflow from Canonical, the publisher behind Ubuntu, as an adaptor