Red Hat has recently announced enhancements to its Red Hat AI portfolio, aiming to accelerate the development and deployment of artificial intelligence (AI) solutions across hybrid cloud environments. This initiative focuses on integrating AI into enterprise operations, offering tools that support both predictive and generative AI models.
A central component of this portfolio is Red Hat OpenShift AI, which provides a platform for managing AI lifecycles across hybrid clouds. It encompasses machine learning operations (MLOps) and large language model operations (LLMOps) capabilities, facilitating the building, tuning, and deployment of AI models. The platform includes tools for data science pipelines, model monitoring, and governance, streamlining the process of bringing AI models from development to production.
Complementing OpenShift AI is Red Hat Enterprise Linux AI (RHEL AI), a foundation model platform designed for developing, testing, and running generative AI models. RHEL AI integrates open-source Granite models and InstructLab tooling, enabling organizations to align AI models with specific business requirements. This integration allows domain experts to contribute to model development without extensive data science expertise, broadening the accessibility of AI technologies.
Red Hat’s commitment to AI innovation is further demonstrated by its acquisition of Neural Magic, a company specializing in software and algorithms that accelerate generative AI inference workloads. This acquisition enhances Red Hat’s capabilities in optimizing AI performance across hybrid cloud environments. Additionally, collaborations with major cloud providers, such as Microsoft Azure, expand the deployment options for RHEL AI, offering organizations flexibility in their AI strategies.
