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What is Kubeflow?
The Kubeflow project is designed to streamline the deployment of machine learning workflows on Kubernetes, making them both scalable and easily portable. Instead of replicating existing services, we concentrate on providing a user-friendly platform for deploying leading open-source ML frameworks across diverse infrastructures. Kubeflow is built to function effortlessly in any environment that supports Kubernetes. One of its standout features is a dedicated operator for TensorFlow training jobs, which greatly enhances the training of machine learning models, especially in handling distributed TensorFlow tasks. Users have the flexibility to adjust the training controller to leverage either CPUs or GPUs, catering to various cluster setups. Furthermore, Kubeflow enables users to create and manage interactive Jupyter notebooks, which allows for customized deployments and resource management tailored to specific data science projects. Before moving workflows to a cloud setting, users can test and refine their processes locally, ensuring a smoother transition. This adaptability not only speeds up the iteration process for data scientists but also guarantees that the models developed are both resilient and production-ready, ultimately enhancing the overall efficiency of machine learning projects. Additionally, the integration of these features into a single platform significantly reduces the complexity associated with managing multiple tools.
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Integrations Supported
APERIO DataWise
Azure Marketplace
Chainer
Comet LLM
D2iQ
DagsHub
Flyte
Giskard
Google Cloud Platform
Google Compute Engine
Integrations Supported
APERIO DataWise
Azure Marketplace
Chainer
Comet LLM
D2iQ
DagsHub
Flyte
Giskard
Google Cloud Platform
Google Compute Engine
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Kubeflow
Company Website
www.kubeflow.org
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/deep-learning-vm
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
