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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

The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. Interactively train models using TensorFlow and visualize model architecture using TensorBoard. Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging.

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

Engineers and data scientists seeking a deep learning GPU training system solution to improve their image classification research

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

No information available.
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 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Kubeflow
www.kubeflow.org

Company Information

NVIDIA DIGITS
Founded: 1993
United States
developer.nvidia.com/digits

Alternatives

Vertex AI

Vertex AI

Google

Alternatives

Union Cloud

Union Cloud

Union.ai

Categories

Categories

Integrations

APERIO DataWise
Azure Marketplace
Caffe
Camunda
Civo
Comet LLM
D2iQ
DagsHub
Dask
KServe
Kedro
Kubernetes
PredictKube
Robust Intelligence
Superwise
TensorFlow
Union Cloud
Unleash live
Unremot
ZenML

Integrations

APERIO DataWise
Azure Marketplace
Caffe
Camunda
Civo
Comet LLM
D2iQ
DagsHub
Dask
KServe
Kedro
Kubernetes
PredictKube
Robust Intelligence
Superwise
TensorFlow
Union Cloud
Unleash live
Unremot
ZenML
Claim Kubeflow and update features and information
Claim Kubeflow and update features and information
Claim NVIDIA DIGITS and update features and information
Claim NVIDIA DIGITS and update features and information