Fast-Kubeflow VS kfserving

Compare Fast-Kubeflow vs kfserving and see what are their differences.

Fast-Kubeflow

This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Training Operators (Distributed Training), Projects, etc. (by omerbsezer)
kubeflow Automl distributed-training kale kubeflow-component kubeflow-demo kubeflow-pipeline Kubernetes jupyter-notebooks katib training-operators
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kfserving

Standardized Serverless ML Inference Platform on Kubernetes [Moved to: https://github.com/kserve/kserve] (by kubeflow)
knative Machine Learning model-interpretability model-serving Istio kubeflow kubeflow-pipelines Artificial intelligence Tensorflow Pytorch Sklearn Xgboost Kubernetes K8s service-mesh kserve HacktoberFest hacktoberfest2022 Mlops mlops-community

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Fast-Kubeflow kfserving
7 1
69 2,113
- -
3.6 10.0
2 months ago about 1 year ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Fast-Kubeflow

Posts with mentions or reviews of Fast-Kubeflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-04.

kfserving

Posts with mentions or reviews of kfserving. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Fast-Kubeflow and kfserving you can also consider the following projects:

Fast-Docker - This repo covers containerization and Docker Environment: Docker File, Image, Container, Commands, Volumes, Networks, Swarm, Stack, Service, possible scenarios.

soopervisor - ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.

Fast-Kubernetes - This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.

kserve - Standardized Serverless ML Inference Platform on Kubernetes

mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools

inferencedb - 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

community - Information about the Kubeflow community including proposals and governance information.

Fast-Kubeflow vs Fast-Docker kfserving vs soopervisor Fast-Kubeflow vs Fast-Kubernetes kfserving vs kserve kfserving vs mosec kfserving vs examples kfserving vs inferencedb kfserving vs BentoML kfserving vs community