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About

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow. Kubeflow provides a custom TensorFlow training job operator that you can use to train your ML model. In particular, Kubeflow's job operator can handle distributed TensorFlow training jobs. Configure the training controller to use CPUs or GPUs and to suit various cluster sizes. Kubeflow includes services to create and manage interactive Jupyter notebooks. You can customize your notebook deployment and your compute resources to suit your data science needs. Experiment with your workflows locally, then deploy them to a cloud when you're ready.

About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone looking for a Machine Learning toolkit for Kubernetes

Audience

Organizations interested in a powerful open source machine learning platform

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 4.5 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Kubeflow
www.kubeflow.org

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Vertex AI

Vertex AI

Google

Alternatives

Vertex AI

Vertex AI

Google
Union Cloud

Union Cloud

Union.ai

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

Azure Marketplace
Comet LLM
DagsHub
Flyte
PredictKube
Robust Intelligence
Superwise
Unremot
Vertex AI Notebooks
ZenML
AWS Elastic Fabric Adapter (EFA)
Activeeon ProActive
Amazon SageMaker Model Building
Dataiku
Gemma 2
Intel Tiber AI Studio
Pop!_OS
Sesterce
Ultralytics
Yandex DataSphere

Integrations

Azure Marketplace
Comet LLM
DagsHub
Flyte
PredictKube
Robust Intelligence
Superwise
Unremot
Vertex AI Notebooks
ZenML
AWS Elastic Fabric Adapter (EFA)
Activeeon ProActive
Amazon SageMaker Model Building
Dataiku
Gemma 2
Intel Tiber AI Studio
Pop!_OS
Sesterce
Ultralytics
Yandex DataSphere
Claim Kubeflow and update features and information
Claim Kubeflow and update features and information
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Claim TensorFlow and update features and information