Kubeflow
Open-source ML platform for Kubernetes providing pipelines, training, and model serving
Open SourceOpen source (Apache 2.0), managed versions from cloud providers APIOpen Source web api
Visit KubeflowAbout Kubeflow
Kubeflow is an open-source ML platform designed for Kubernetes. It provides ML pipelines for workflow orchestration, distributed training operators, model serving (KServe), and notebook servers. Kubeflow enables teams to run end-to-end ML workflows on Kubernetes clusters with proper resource management and reproducibility.
Key Features
- ML pipelines
- Distributed training
- KServe model serving
- Notebook servers
- Experiment tracking
- Multi-framework support
- Resource management
Pros
- Full ML platform
- Kubernetes native
- Scalable
- Framework agnostic
Cons
- Very complex setup
- Requires Kubernetes expertise
- Resource heavy
Tags
mlopskubernetespipelinesopen-sourcedistributed-training
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