Domino Enterprise AI PlatformDomino Data Lab
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NVIDIA RAPIDSNVIDIA
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Related Products
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About
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.
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About
The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Large enterprises, data science teams, and IT leaders looking to build, deploy, and կառավար AI systems at scale with strong governance, security, and infrastructure control
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Audience
Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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PricingPer user/per year
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationDomino Data Lab
Founded: 2013
United States
www.dominodatalab.com
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids
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Alternatives |
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Categories |
Categories |
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Data Science Features
Access Control
Supported
Advanced Modeling
Supported
Audit Logs
Supported
Data Discovery
Supported
Data Ingestion
Supported
Data Preparation
Supported
Data Visualization
Supported
Model Deployment
Supported
Reports
Supported
Deep Learning Features
Convolutional Neural Networks
Supported
Document Classification
Supported
Image Segmentation
Supported
ML Algorithm Library
Supported
Model Training
Supported
Neural Network Modeling
Supported
Self-Learning
Supported
Visualization
Supported
Machine Learning Features
Deep Learning
Supported
ML Algorithm Library
Supported
Model Training
Supported
Natural Language Processing (NLP)
Not Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Not Supported
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Integrations
Anaconda
Supported
Apache Spark
Not Supported
Apache Zeppelin
Supported
Bitbucket
Supported
Domino Enterprise AI Platform
Not Supported
Flask
Supported
GitHub
Supported
HPE Ezmeral Data Fabric
Not Supported
Kinetica
Not Supported
MATLAB
Supported
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Integrations
Anaconda
Supported
Apache Spark
Supported
Apache Zeppelin
Not Supported
Bitbucket
Not Supported
Domino Enterprise AI Platform
Supported
Flask
Not Supported
GitHub
Not Supported
HPE Ezmeral Data Fabric
Supported
Kinetica
Supported
MATLAB
Not Supported
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