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Description

Domino is a comprehensive enterprise AI platform that enables organizations to transform AI initiatives into scalable, production-ready systems. It supports the full AI lifecycle, including data access, model development, deployment, and ongoing management. The platform provides a self-service environment where data scientists can access tools, datasets, and compute resources with built-in governance and security controls. Domino allows teams to build machine learning models, generative AI applications, and intelligent agents using their preferred development environments. It also includes advanced orchestration capabilities to manage workloads across hybrid, multi-cloud, and on-premises infrastructures. Governance features such as model registries, audit trails, and policy enforcement ensure compliance and reproducibility. The platform enhances collaboration by providing a centralized system of record for all AI assets and experiments. Additionally, it helps organizations optimize costs through resource management and usage tracking. Domino is designed to meet enterprise standards for security and regulatory compliance. Ultimately, it empowers businesses to accelerate AI innovation while maintaining operational control and accountability.

Description

NCM Self-Service, previously known as Calm, enhances the management, deployment, and scalability of applications in hybrid cloud environments by offering self-service options, automation, and a centralized governance model based on roles. With a simple click, users can access self-service capabilities paired with centralized IT governance that spans both private and public cloud infrastructures. This solution allows for comprehensive automation in the processes of application provisioning, scaling, and overall management. Users can deploy applications while maintaining visibility across different cloud settings, whether they are private or public. Additionally, blueprints can be easily published to end-users via the Nutanix Marketplace and can be developed through a user interface or Python code, facilitating self-service provisioning for intricate applications. The system enables users to provision, configure, scale, upgrade, and remove applications seamlessly across various cloud environments. Starting with the automation of routine lifecycle functions can lead to the creation of complex blueprints tailored to specific needs. By automating hybrid cloud architecture provisioning, organizations can efficiently manage multi-tiered and distributed applications from a unified control plane, ensuring streamlined operations across all cloud environments. This comprehensive approach ultimately empowers teams to achieve greater agility and efficiency in their cloud strategies.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon EC2 Trn2 Instances Yes 
Amazon SageMaker Yes 
Dask Yes 
Flask Yes 
GitHub Yes 
GitLab Yes 
HYCU No 
Jenkins No 
Microsoft 365 No 
MySQL No 
NVIDIA HPC SDK Yes 
Nutanix Cloud Manager No 
Okera Yes 
PyTorch Yes 
R Yes 
Redis No 
SAP Cloud Platform No 
SPARK Yes 

Integrations

Amazon EC2 Trn2 Instances No 
Amazon SageMaker No 
Dask No 
Flask No 
GitHub No 
GitLab No 
HYCU Yes 
Jenkins Yes 
Microsoft 365 Yes 
MySQL Yes 
NVIDIA HPC SDK No 
Nutanix Cloud Manager Yes 
Okera No 
PyTorch No 
R No 
Redis Yes 
SAP Cloud Platform Yes 
SPARK No 

Pricing Details

Per user/per year
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Domino Data Lab

Founded

2013

Country

United States

Website

www.dominodatalab.com

Vendor Details

Company Name

Nutanix

Country

United States

Website

www.nutanix.com/products/cloud-manager/self-service

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Science

Access Control Yes 
Advanced Modeling Yes 
Audit Logs Yes 
Data Discovery Yes 
Data Ingestion Yes 
Data Preparation Yes 
Data Visualization Yes 
Model Deployment Yes 
Reports Yes 

Deep Learning

Convolutional Neural Networks Yes 
Document Classification Yes 
Image Segmentation Yes 
ML Algorithm Library Yes 
Model Training Yes 
Neural Network Modeling Yes 
Self-Learning Yes 
Visualization Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization No 

Product Features

Application Lifecycle Management

Administrator Level Control No 
Defect Tracking No 
Iteration Planning No 
Project Management No 
Release Management No 
Requirements Review No 
Task Management No 
Test Case Tracking No 
User Level Management No 
Version Control No 

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