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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.
Description
Red Hat® Quay is a container image registry that facilitates the storage, creation, distribution, and deployment of containers. It enhances the security of your image repositories through automation, authentication, and authorization mechanisms. Quay can be utilized within OpenShift or as an independent solution. You can manage access to the registry using a variety of identity and authentication providers, which also allows for team and organization mapping. A detailed permissions system aligns with your organizational hierarchy, ensuring appropriate access levels. Transport layer security encryption ensures secure communication between Quay.io and your servers automatically. Additionally, integrate vulnerability detection tools, such as Clair, to perform automatic scans of your container images, and receive notifications regarding any identified vulnerabilities. This setup helps optimize your continuous integration and continuous delivery (CI/CD) pipeline by utilizing build triggers, git hooks, and robot accounts. For further transparency, you can audit your CI pipeline by monitoring both API and user interface actions, thereby maintaining oversight of operations. In this way, Quay not only secures your container images but also streamlines your development processes.
API Access
Has API
API Access
Has API
Integrations
Kubernetes
Red Hat OpenShift
Clair
JupiterOne
Ozone
PyTorch
Slim.AI
Sonatype SBOM Manager
TensorFlow
Integrations
Kubernetes
Red Hat OpenShift
Clair
JupiterOne
Ozone
PyTorch
Slim.AI
Sonatype SBOM Manager
TensorFlow
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Country
United States
Website
developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/
Vendor Details
Company Name
Red Hat
Founded
1993
Country
United States
Website
www.redhat.com/en/technologies/cloud-computing/quay
