IBM Cloud services
On IBM Cloud, key services are automatically provisioned. You can provision optional services to extend your capabilities.
Automatically provisioned services
When you sign up for watsonx.ai or watsonx.governance (gen AI lakehouse), the following services are automatically provisioned for you.
watsonx.data
IBM watsonx.data is an open lakehouse architecture that combines the elements of the data warehouse and data lake models. The best-in-class features and optimizations available on watsonx.data make it an optimal choice for next generation data analytics and automation. The watsonx.data experience is separate from the watsonx.ai and watsonx.governance experience.
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IBM watsonx.ai Studio
IBM watsonx.ai Studio provides the environment and tools for your team to collaboratively solve your business problems. You can choose the tools you need to analyze and visualize data, to cleanse and shape data, to experiment with prompting foundation models, to tune foundation models, or to create and train machine learning models.
The watsonx.ai Studio service was formerly known as the Watson Studio service.
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watsonx.ai Runtime
IBM watsonx.ai Runtime provides the resources to run and deploy gen AI and machine learning solutions.
The watsonx.ai Runtime service was formerly known as the Watson Machine Learning service.
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watsonx.governance
Watsonx.governance provides the tools to evaluate, govern, and monitor your AI solutions. Watsonx.governance supports external models that are developed in third-party providers, including Amazon Web Services or Microsoft Azure.
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Cloud Object Storage
IBM Cloud Object Storage provides storage for projects, catalogs, and deployment spaces. You can also create connections to access data in an IBM Cloud Object Storage instance. When you create a project, catalog, or deployment space, you must choose an IBM Cloud Object Storage instance. You can use a single instance for all projects, catalogs, and deployment spaces, or you can use multiple instances. Each project, catalog, and deployment space has its own dedicated bucket. The bucket stores files for assets, such as uploaded data files or notebook files. The connection between the project, catalog, or deployment space and its storage bucket is implicit.