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11 Seldon Reviews
The one thing in the seldon.io we can feel best like this platform has dedicated people and support to help while having any issue while deploying our model in the seldon.io Review collected by and hosted on G2.com.
As of now, I couldn't find any though the documentation can be improved and more demo sessions will be helpful for this seldon.io but they are still improving so couldn't say much Review collected by and hosted on G2.com.
Seldon provides a seamless way to deploy models at scale and monitor them post deployment. The multi armed bandit function helps several models to be in action for larger user bases during the inferencing. Review collected by and hosted on G2.com.
Seldon must provide a packaged service on cloud hyperscalers so that model deployment and monitoring could be easily tied with the native cloud tools. Also appreciate if Seldon provides chat support for community users for quick technical help. Review collected by and hosted on G2.com.
The best part of Seldon is its a packaged offering in terms of model serving, model pipeline, model observability, model explainability and security packed in a single product. Review collected by and hosted on G2.com.
The Seldon community on Github has reported many issues, out of which several of them are open and closed. It's sometimes difficult to figure out a legitimate solution. Request Seldon to form a trusted site-based FAQ/Issues section where you find answers to most problems that come with different versions and use cases. Review collected by and hosted on G2.com.
The best feature that I like about seldon is that it runs anywhere i.e on any cloud platform or on-premises. Also, it provides advanced machine learning capabilities and can handle scaling to thousand of production out of the box. Review collected by and hosted on G2.com.
Although being built on Kubernetes Seldon gets us all the reliablity and scal that Kubernetes is famous for too, at the same time it doesn't make sense to take ont he complexity for many people. It is also costilier than its competitors. Review collected by and hosted on G2.com.
Seldon integrates seamlessly with many open-source stacks like Kubeflow, MLFlow or any custom MLOps stack that requires model serving that includes deployment and monitoring as a core capability. Review collected by and hosted on G2.com.
Seldon needs to improvise the documentation. Many of the links opens up advanced topics related to model serving and workflow but again going further deeper into it shows 404 error. The community must evolve the documentation and keep it upto date. Review collected by and hosted on G2.com.
Ease of use for developers making the learning curve less steep in comparison. Use by our data science teams confirm the finding , the open source nature again is an advantage. Review collected by and hosted on G2.com.
The ability to manage containers could be further improved. Comparatively less integrated with batch component. The requirment of a new operator for certain operations. Review collected by and hosted on G2.com.
I like the way we can make complex inference graphs .. just like that!.also this principle they follow, build once deploy many.. Review collected by and hosted on G2.com.
Troubleshooting is difficult as we have no specific function on top we can work. Review collected by and hosted on G2.com.
The best software I can deploy my models and monitor in real-time and can easily, flexible adoption with different frameworks. can easily build great dashboards to observe interesting metrics. Review collected by and hosted on G2.com.
i have not found much of cons in the software Review collected by and hosted on G2.com.
This software is very much inclusive which covers both machine and cloud learning technology , Very much affordable Review collected by and hosted on G2.com.
I didn't find any cons so far which is causing trouble in day to day activities Review collected by and hosted on G2.com.
