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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

NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI.

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

Enterprises and AI teams seeking to optimize and scale GPU resources for AI training and inference across hybrid and multi-cloud environments

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
Founded: 1993
United States
www.nvidia.com/en-us/software/run-ai/

Alternatives

Vertex AI

Vertex AI

Google

Alternatives

Union Cloud

Union Cloud

Union.ai

Categories

Categories

Integrations

APERIO DataWise
Azure Marketplace
Camunda
Civo
Comet LLM
D2iQ
DagsHub
Flyte
Giskard
HPE Ezmeral
KServe
Kedro
Kubernetes
PredictKube
Robust Intelligence
Superwise
Union Cloud
Unremot
Vertex AI Notebooks
ZenML

Integrations

APERIO DataWise
Azure Marketplace
Camunda
Civo
Comet LLM
D2iQ
DagsHub
Flyte
Giskard
HPE Ezmeral
KServe
Kedro
Kubernetes
PredictKube
Robust Intelligence
Superwise
Union Cloud
Unremot
Vertex AI Notebooks
ZenML
Claim Kubeflow and update features and information
Claim Kubeflow and update features and information
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Claim NVIDIA Run:ai and update features and information