Kubeflow

ML toolkit for Kubernetes providing pipelines, training, and serving.

Open SourceSelf HostedOffline Capable
0.0 (0)

About

Kubeflow is a collection of Kubernetes-native projects for building machine learning platforms, originally from Google. It provides ML pipelines for workflow orchestration, distributed training operators, KServe for model serving, Katib for hyperparameter tuning, and notebook environments. The projects can be adopted individually or deployed together as a composable reference platform across the ML lifecycle. Released under the Apache 2.0 license.

Reviews (0)

Leave a Review

No reviews yet. Be the first to review!

Details

Price
Free
Platform
Local/Desktop
Difficulty
Expert (5/5)
License
Apache-2.0
Added
Apr 3, 2026

Related Tools

Local AI API platform that runs LLMs on your hardware with OpenAI-compatible API.

Open SourceSelf HostedOffline
Easy

Self-hosted Go gateway that routes LLM traffic across providers with failover, caching, and guardrails.

Open SourceSelf Hosted
Intermediate

Open-source orchestrator for AI training and inference across clouds, Kubernetes, and bare metal.

Open SourceSelf HostedOffline
Advanced

Kubernetes-native workflow orchestration platform for machine learning and data pipelines.

Open SourceSelf HostedOffline
Advanced

Open-source AI gateway that routes requests to more than 1,600 LLMs through one API with guardrails and caching.

Open SourceSelf Hosted
Easy
Featured

Framework for building production-ready AI application services.

Open SourceSelf HostedOffline
Easy
Browse all AI Deployment & MLOps tools