Closed Gkrumbach07 closed 1 year ago
I'd suggest the following:
Hybrid Cloud Ready Simplify the lifecycle management of your machine learning models and AI applications across private data centers, public cloud providers, edge devices and more.
Fast Deployment With the power of Kubernetes operators, get up and running in minutes on any OpenShift cluster running in the hybrid cloud. Customize your deployment with additional tools using the extensible plug-and-play framework.
Enhanced User Experience An improved user experience allows application developers and data scientists to orchestrate workflows, train and serve models, and build AI-infused applications faster than ever.
Are there any icons we could use for these? Perhaps from the RH library?
Objective
Edit, review, and suggest changes to the content below as a comment to this issue. Use the image attached as a reference of what the content will be rendered like. If content and wording looks good. Give a
lgmt
(looks good to me) in the comments of this issue, otherwise leave your suggestions.These bodies need to be shorttended to a single very short sentence
Current Content
Advantage 1
Title: Flexible
Option 1 body: OpenDataHub.io provides a highly flexible platform with customized tools, multi-cloud support, and open-source code, allowing customers to adjust data workflows to their specific needs, select the best-suited cloud provider, and modify the platform for more functionality and adaptability.
Option 2 body: The ability to customize and adjust the platform to one's own needs makes ODH flexibility a key benefit. This is accomplished by providing adaptable frameworks and tools, support for various cloud service providers, and open-source accessibility. Users can customize data pipelines, choose the best cloud provider, and change the functionality of the platform as a result, ensuring the best adaptability to shifting needs and use cases.
Advantage 2
Title: Scalable
Option 1 body: ODH scalability provides significant advantages, including increased capacity for growing data workloads, resource optimization to maximize efficiency and minimize costs, and fault tolerance for uninterrupted operation despite failures or outages.
Option 2 body: One of the main benefits of using ODH is its scalability, which guarantees that the platform can easily adjust to users' changing data processing requirements. It makes it possible to handle increasing data volumes without experiencing performance concerns, to use resources cost-effectively, and to preserve operational continuity even in the face of unforeseen difficulties or interruptions.
Advantage 3
Title: Deploy Anywhere
Option 1 body: "Deploy anywhere" feature enables users to effortlessly install the cloud-native platform across numerous settings, including cloud infrastructures and on-premises data centers, using flexible deployment options such as Kubernetes ,helm OpenShift. This allows for seamless connection with current infrastructure and procedures, which promotes adaptation to changing demands and requirements.
Option 2 body: The "Deploy anywhere" allows customers to apply the platform in a variety of locations, making it a highly versatile solution. Because of its cloud-native nature, it may be deployed on any cloud infrastructure or on-premises data center. Users can choose the optimal deployment mechanism for their organization from a variety of options such as Kubernetes, OpenShift, and Helm. This adaptability facilitates integration with current infrastructure and workflows, eliminating compatibility difficulties or complex setup processes, and ensuring the platform meets users' increasing demands and requirements.
Design Example