Cloud Service Models There are three main cloud service models. Each one is designed to meet specific business needs and make a cloud environment as suitable as possible.

Cloud environments attempt to virtualize the entire storage stack so that they can provide self-service and a clean separation between infrastructure and application.

In this article, we’ll explore the cloud service models and seven useful cloud-migration strategies. We’ll also discuss the challenges and complexities of cloud migration, and share our top ...

Oracle has embedded GPT-5 into its cloud infrastructure and SaaS apps, extending generative AI to databases, HR, finance, and ...

If you are still unsure which option—cloud versus on-premises—best fits your business needs, explore this comparison for computing, storage and database.

Oracle and Alphabet said on Thursday their cloud computing units have struck a deal to offer Google's Gemini artificial ...

While Google has long worked on the PaLM model, the company describes the PaLM API as Google’s gateway to access its large language models in general.

HPE's GreenLake for Large Language Models is supported by HPE supercomputers and AI software hosted in the cloud with LLM provided by a partner.

Nvidia is offering a new set of cloud services, called AI Foundations, that let businesses create and use their own AI models.

The shared responsibility model (SRM) delineates what you, the cloud customer is responsible for, and what your cloud service provider is responsible for.