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What is Red Hat OpenShift Data Foundation?

Red Hat® OpenShift® Data Foundation, previously referred to as Red Hat OpenShift Container Storage, is a versatile software-defined storage solution specifically designed for container environments. Serving as the core platform for data and storage services within Red Hat OpenShift, it allows teams to develop and deploy applications quickly and efficiently across multiple cloud platforms. Developers, even those with limited expertise in storage, can easily provision storage directly through Red Hat OpenShift, maintaining focus on their main interface without any interruptions. This solution supports a variety of data formats, including files, blocks, and objects, meeting the diverse needs of enterprise Kubernetes workloads. Furthermore, our dedicated technical team is on hand to work alongside you in crafting a strategy that meets your specific storage needs for both hybrid and multicloud container environments, ensuring that your infrastructure is fine-tuned for optimal performance and scalability. By leveraging this robust platform, organizations can enhance their operational efficiency and responsiveness in the ever-evolving cloud landscape.

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

Red Hat OpenShift
Kubernetes
Ozone
PyTorch
TensorFlow

Integrations Supported

Red Hat OpenShift
Kubernetes
Ozone
PyTorch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Red Hat

Date Founded

1993

Company Location

United States

Company Website

www.redhat.com/en/technologies/cloud-computing/openshift-data-foundation

Company Facts

Organization Name

IBM

Company Location

United States

Company Website

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

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