Red Hat Enhances AI Capabilities for Hybrid Cloud Deployments

Red Hat, a leader in open-source solutions, announced updates to its AI offerings aimed at optimizing AI model development and deployment across hybrid clouds. The updates include enhanced AI management tools and security features, thereby allowing businesses to integrate AI with their proprietary data more efficiently and cost-effectively.

Red Hat, a prominent provider of open-source solutions, has unveiled significant updates to its AI product suite designed to improve the development and deployment of artificial intelligence across hybrid cloud environments.

The enhanced Red Hat AI platform offers new features aimed at boosting efficiency and flexibility in AI deployment while facilitating model training and inference. Key updates include distributed serving via the vLLM inference server and end-to-end model tuning features.

With a focus on improving security and governance, the platform also introduces AI Guardrails to monitor user inputs and outputs, ensuring compliance with corporate policies. The advancements reflect Red Hat's commitment to providing a robust and scalable AI foundation for enterprises.

(With inputs from agencies.)