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What is RapidBIZ?

Speed up your market entry with the cutting-edge low-code SmartScreens platform. Creating targeted Micro Server Apps (MSAs) to address specific automation needs has become incredibly easy, allowing for effortless integration with your current data and applications. These MSAs function seamlessly across different device types without requiring separate coding for each one. RapidBIZ unifies all these capabilities within a comprehensive development and management framework that supports Docker containers, Kubernetes, and OpenShift. A key aspect of the efficiency delivered by RapidBIZ is its commitment to reuse, enabling developers to easily access a wealth of powerful pre-built components and functionalities, alongside utilizing existing code and data from IBM i for developing cloud-based applications. By transforming complex and time-consuming development and management activities into an intuitive point-and-click interface, complete with smart wizards that automatically produce code for more complex features, this innovative method not only simplifies the development journey but also equips teams to drive innovation at an unprecedented pace. Ultimately, the SmartScreens platform not only enhances productivity but also fosters collaboration among developers, making it an invaluable tool for modern application development.

What is Google Deep Learning Containers?

Speed up the progress of your deep learning initiative on Google Cloud by leveraging Deep Learning Containers, which allow you to rapidly prototype within a consistent and dependable setting for your AI projects that includes development, testing, and deployment stages. These Docker images come pre-optimized for high performance, are rigorously validated for compatibility, and are ready for immediate use with widely-used frameworks. Utilizing Deep Learning Containers guarantees a unified environment across the diverse services provided by Google Cloud, making it easy to scale in the cloud or shift from local infrastructures. Moreover, you can deploy your applications on various platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, offering you a range of choices to align with your project's specific requirements. This level of adaptability not only boosts your operational efficiency but also allows for swift adjustments to evolving project demands, ensuring that you remain ahead in the dynamic landscape of deep learning. In summary, adopting Deep Learning Containers can significantly streamline your workflow and enhance your overall productivity.

Media

Media

Integrations Supported

Google Cloud Platform
Google Cloud Run
Google Compute Engine
Google Kubernetes Engine (GKE)
Kubernetes

Integrations Supported

Google Cloud Platform
Google Cloud Run
Google Compute Engine
Google Kubernetes Engine (GKE)
Kubernetes

API Availability

Has API

API Availability

Has API

Pricing Information

$99.00/month/user
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

VACAVA

Date Founded

1996

Company Location

United States

Company Website

www.vacava.com/rapidbiz/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/ai-platform/deep-learning-containers

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Categories and Features

Deep Learning

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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