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I will follow you brother nice content

Hi This is really a very good tutorial. I am having issues connecting with minio. Earlier it was giving me httpconnection error which I resolved and now It is giving me access denied error. Can you please let me know how to resolve it.

This is a great demo. I just implemented this but had to #1/ use kserve 1.10 and , #2/change the image to public.ecr.aws/kubeflow-on-aws/notebook-servers/jupyter-tensorflow:2.12.0-gpu-py310-cu118-ubuntu20.04-ec2-v1.0 and #install pandas on the base image.

spent 2 days on the first 2 minutes trying to setup the kubeflow and k8s, now I am just pulling off a docker image of kubeflow

I can't thank you enough. Such a nice tutorial. Can you make one on a huggingface llm instead of tensoprflow oe. keeping rest of architecture same.

Thank you so much for this amazing tutorial! God Bless You!

Can you please describe on how to deploy and handle with kubeflow for building and managing a Gen AI LLM chat agent application using RAG.

very appreciate, gread job. thanks for the sharing. wait for more update in future.

Very well explained everything looks so much easy now..thanks awesome

Hi, getting below error when importing the libraries and notebook crashes when building the model. 2023-11-27 13:18:19.713360: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2023-11-27 13:18:19.752644: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-11-27 13:18:20.005339: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-11-27 13:18:20.006871: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-11-27 13:18:20.953435: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT any sugessions?

Great video! helped me out

Thanks for the clear tutorial! ♥

Excellent tutorial. Good job and thanks a lot for this!

How to permanently port forward an app in kubeflow?

Hello Flo Pachinger, Thank you very much for this wonderful tutorial. But this would only help if people are actually able to successfully deploy and use Kubeflow. All the stable versions are blocked behind a pay wall, and the community version is not stable. I request you to please upload a comprehensive tutorial of how you got Kubeflow installed and working so seamlessly. Believe me it is really needed by the community. Thank you very much in advance.

Perfect tutorial!!!!

Really comprehensive intro to all the important components. I have actually used KFP only with GCP, it was nice to see "under the hood" stuff. Subbed for more +1

no audio

Great demo, thanks for sharing your notebooks!

Such a great video! how did you run kubeflow locally on Mac?

Do you know why my run fails in the "Get data batch" step? I have apply the "set-minio-kserve-secret.yaml" and "access_kfp_from_jupyter_notebook.yaml"

Great video! One question, for the web app which service/pod are you port forwarding to so that the web app can reach the KServer inference instance?

Hi! The access_kfp_from_jupyter_notebook.yaml in the readme is 404

When using Kubeflow is it better to use MinIO than s3?

Hi, how are you? i wanted to ask if i can run k3ai from kubeflow in mac os x

Super-good tutorial about building a pipeline with Kubeflow! A lot of hands-on details step by step. You really rock, Flo! Many thanks!

hello bro, how to install kubeflow on ubuntu??

Very nice explanation of all elements of kubeflow. It would be great if you could also demonstrate integration of all elements with user hosted minio in upcoming series

Very good tutorial, thanks!!

Amazing content sir . Greatly helps ! :)

Great Job on this tool.

Cool tool! Looking forward to testing it out.