IBM just launched a new AI and data platform called watsonx aimed at helping businesses accelerate advanced AI usage with trusted data, speed and governance.
Watsonx has three main components: Watsonx.ai for AI builders to train, test, tune and deploy traditional machine learning and new generative AI capabilities; Watsonx.data, a data store optimized for governed data and AI workloads; and Watsonx.governance, a toolkit for trusted AI workflows.
The first two components of Watsonx are expected to be ready in July with governance following later in the year.
In addition to Watsonx, IBM also introduced GPU-as-a-service, designed to support AI intensive workloads, with an AI dashboard to measure, track and report on cloud carbon emissions.
IBM also announced a partnership with ML tool developer Hugging Face, allowing the watsonx.ai library to carry thousands of Hugging Face open source models, datasets and libraries.
IBM Consulting will also support client AI deployments with a new practice for watsonx and generative AI.
CEO Arvind Krishna promoted hybrid cloud environments and highlighted Delta Airlines as an example of a company already using AI technology in its operations.
Watsonx was built on Red Hat OpenShift and brought Kaete Piccirilli, director of product marketing at Red Hat Ansible Automation, to the stage to present a short use case of how developers could use the new platform.