Red Hat, a renowned provider of open source solutions, has recently introduced updates to its Red Hat AI portfolio. This initiative aims to expedite the development and deployment of AI solutions in the hybrid cloud environment.
Red Hat AI offers an enterprise AI platform that focuses on model training and inference. It promises enhanced efficiency, streamlined user experience, and the versatility to deploy AI solutions across various hybrid cloud settings.
The business landscape is witnessing a surge in the demand for cost-effective deployment of large language models (LLMs) to cater to a wide array of use cases. However, integrating these models with proprietary data remains a challenge. Red Hat AI addresses these concerns by offering an enterprise AI platform that allows users to adopt optimized models, fine-tuned with business-specific data, and deploy them across hybrid cloud environments for training and inference.
The Red Hat AI portfolio includes Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI), both of which target the aforementioned challenges. Red Hat OpenShift AI serves as a comprehensive AI platform for managing predictive and generative AI lifecycles in hybrid cloud setups. It encompasses machine learning operations (MLOps) and LLMOps capabilities, enabling users to build predictive models, fine-tune gen AI models, and simplify AI model management.
The latest release of Red Hat OpenShift AI, version 2.18, introduces several key features to enhance the efficiency and optimization of AI models in the hybrid cloud environment. These features include distributed serving, end-to-end model tuning experience, AI Guardrails, and model evaluation, all aimed at improving the accuracy, performance, and transparency of LLMs.
On the other hand, RHEL AI serves as a foundation model platform for developing, testing, and running LLMs to power enterprise applications. It offers Granite LLMs and InstructLab model alignment tools packaged as a bootable Red Hat Enterprise Linux server image for deployment across hybrid cloud environments.
Moreover, Red Hat AI InstructLab on IBM Cloud simplifies and scales the training and deployment of AI models while enhancing data security. The platform is designed to help organizations build efficient AI models tailored to their unique needs, ensuring data control and security.
In addition, Red Hat now provides AI Foundations online training courses at no cost to support organizations in leveraging AI to transform their operations and drive innovation. These courses cater to both experienced senior leaders and AI novices, guiding users on applying AI knowledge using Red Hat AI.
The collaboration between Red Hat AI and industry leaders like Airbus Helicopters, IBM Consulting, ESG, and HCLTech embodies a shared vision of leveraging AI to drive business success. By combining cutting-edge AI technologies with domain expertise, these partnerships aim to deliver flexible, cost-effective, and secure AI solutions aligned with organizational objectives.
In conclusion, Red Hat AI stands out as a comprehensive AI platform that offers consistency, reliability, and speed in building and deploying AI models across hybrid cloud environments. Its focus on efficiency, security, and data governance is crucial for organizations looking to harness the full potential of AI-driven decision-making in a rapidly evolving business landscape.
