Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure Red Hat OpenShift delivers fully managed, highly available OpenShift clusters on demand, with oversight and operation shared between Microsoft and Red Hat. At its foundation lies Kubernetes, which Red Hat OpenShift enhances with premium features, transforming it into a comprehensive platform as a service (PaaS) that significantly enriches the experiences of developers and operators alike. Users can benefit from resilient, fully managed public and private clusters, along with automated operations and seamless over-the-air updates for the platform. The web console also offers an improved user interface, enabling easier building, deploying, configuring, and visualizing of containerized applications and the associated cluster resources. This combination of features makes Azure Red Hat OpenShift an appealing choice for organizations looking to streamline their container management processes.
Description
Distributed AI represents a computing approach that eliminates the necessity of transferring large data sets, enabling data analysis directly at its origin. Developed by IBM Research, the Distributed AI APIs consist of a suite of RESTful web services equipped with data and AI algorithms tailored for AI applications in hybrid cloud, edge, and distributed computing scenarios. Each API within the Distributed AI framework tackles the unique challenges associated with deploying AI technologies in such environments. Notably, these APIs do not concentrate on fundamental aspects of establishing and implementing AI workflows, such as model training or serving. Instead, developers can utilize their preferred open-source libraries like TensorFlow or PyTorch for these tasks. Afterward, you can encapsulate your application, which includes the entire AI pipeline, into containers for deployment at various distributed sites. Additionally, leveraging container orchestration tools like Kubernetes or OpenShift can greatly enhance the automation of the deployment process, ensuring efficiency and scalability in managing distributed AI applications. This innovative approach ultimately streamlines the integration of AI into diverse infrastructures, fostering smarter solutions.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Red Hat OpenShift
Yes
Azure Marketplace
Yes
Control-M
Yes
DxEnterprise
Yes
Kubernetes
No
Microsoft Azure
Yes
PyTorch
No
TensorFlow
No
Integrations
Red Hat OpenShift
Yes
Azure Marketplace
No
Control-M
No
DxEnterprise
No
Kubernetes
Yes
Microsoft Azure
No
PyTorch
Yes
TensorFlow
Yes
Pricing Details
$0.44 per hour
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
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)
Yes
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/openshift
Vendor Details
Company Name
IBM
Country
United States
Website
developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/
Product Features
Container Management
Access Control
No
Application Development
No
Automatic Scaling
No
Build Automation
No
Container Health Management
No
Container Storage
No
Deployment Automation
No
File Isolation
No
Hybrid Deployments
No
Network Isolation
No
Orchestration
No
Shared File Systems
No
Version Control
No
Virtualization
No