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support 5 out of 5 stars

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What is Red Hat OpenShift Dev Spaces?

Red Hat OpenShift Dev Spaces, which is founded on the open-source Eclipse Che initiative, utilizes Kubernetes and containerization to deliver a unified, secure, and zero-setup development atmosphere suitable for every member of a development or IT group. This platform offers an experience that rivals the speed and simplicity of a local integrated development environment. Available with each OpenShift subscription and through the Operator Hub, OpenShift Dev Spaces provides teams with a more effective and reliable foundation for their projects, while also granting operations teams centralized oversight and confidence. You can begin coding immediately with the free Developer Sandbox for Red Hat OpenShift, allowing users to try out OpenShift Dev Spaces without any cost. With applications and their development environments packaged in containers running on OpenShift, developers can focus exclusively on coding, eliminating the need to navigate the complexities of Kubernetes. Additionally, administrators can easily manage and supervise workspaces just like any other Kubernetes resource, ensuring a seamless workflow. This integration of intuitive tools and robust management features positions OpenShift Dev Spaces as a superior option for contemporary development teams, fostering both productivity and collaboration among users. Ultimately, it empowers teams to innovate and deliver high-quality software efficiently.

What is IBM Distributed AI APIs?

Distributed AI is a computing methodology that allows for data analysis to occur right where the data resides, thereby avoiding the need for transferring extensive data sets. Originating from IBM Research, the Distributed AI APIs provide a collection of RESTful web services that include data and artificial intelligence algorithms specifically designed for use in hybrid cloud, edge computing, and distributed environments. Each API within this framework is crafted to address the specific challenges encountered while implementing AI technologies in these varied settings. Importantly, these APIs do not focus on the foundational elements of developing and executing AI workflows, such as the training or serving of models. Instead, developers have the flexibility to employ their preferred open-source libraries, like TensorFlow or PyTorch, for those functions. Once the application is developed, it can be encapsulated with the complete AI pipeline into containers, ready for deployment across different distributed locations. Furthermore, utilizing container orchestration platforms such as Kubernetes or OpenShift significantly enhances the automation of the deployment process, ensuring that distributed AI applications are managed with both efficiency and scalability. This cutting-edge methodology not only simplifies the integration of AI within various infrastructures but also promotes the development of more intelligent and responsive solutions across numerous industries. Ultimately, it paves the way for a future where AI is seamlessly embedded into the fabric of technology.

Media

Media

Integrations Supported

C
C#
C++
Docker
GitHub
HTML
Java
JavaScript
Jira Work Management
Microsoft Azure
PHP
Python
Rambox

Integrations Supported

Kubernetes
PyTorch
Red Hat OpenShift
TensorFlow

API Availability

API Availability

Has API

Pricing Information

$30 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Red Hat

Date Founded

1993

Company Location

United States

Company Website

developers.redhat.com/products/openshift-dev-spaces/overview

Company Facts

Organization Name

IBM

Company Location

United States

Company Website

developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/

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

Code Collaboration

Not specified

Configuration Management

Access Control / Permissions
Application Deployment
Automated Provisioning
Infrastructure Automation
Node Management
Orchestration
Reporting Analytics / Visualization
Task Management

IDE

Not specified

Categories and Features

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