Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Red Hat OpenShift on IBM Cloud offers developers a rapid and secure solution for containerizing and deploying enterprise workloads within Kubernetes clusters. With IBM overseeing the management of the OpenShift Container Platform (OCP), you can dedicate more of your attention to essential tasks. The platform features automated provisioning and configuration of compute, network, and storage infrastructure, along with the installation and configuration of OpenShift itself. It also ensures automatic scaling, backup, and recovery processes for OpenShift configurations, components, and worker nodes. Furthermore, the system supports automatic upgrades for all essential components, including the operating system and cluster services, while also providing performance tuning and enhanced security measures. Built-in security features encompass image signing, enforcement of image deployment, hardware trust, patch management, and automatic compliance with standards such as HIPAA, PCI, SOC2, and ISO. Overall, this comprehensive solution streamlines operations and enhances security, allowing developers to innovate with confidence.
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
F5 Distributed Cloud Platform
Yes
IBM Cloud
Yes
Isovalent
Yes
Kubernetes
No
Protegrity
Yes
PyTorch
No
Red Hat OpenShift
No
TensorFlow
No
Integrations
F5 Distributed Cloud Platform
No
IBM Cloud
No
Isovalent
No
Kubernetes
Yes
Protegrity
No
PyTorch
Yes
Red Hat OpenShift
Yes
TensorFlow
Yes
Pricing Details
No price information available.
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
No
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/openshift
Vendor Details
Company Name
IBM
Country
United States
Website
developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/