Raleigh (North Carolina), US - On March 27th, Red Hat, Inc., which leads globally as a provider of open-source solutions, unveiled new enhancements to their product line called Red Hat AI. This suite aims at speeding up both the creation and implementation of artificial intelligence technologies throughout various clouds including traditional servers and newer cloud environments. The updated offering from Red Hat includes an advanced AI platform tailored specifically for businesses looking to improve their workflows through machine learning tasks like data analysis and predictive modeling, ensuring smooth operations regardless of where these processes take place within mixed-cloud setups.
Despite efforts by companies to minimize the expenses associated with implementing large language models (LLMs) on a broad scale to cater to an increasing range of applications, they continue to grapple with the difficulty of merging these models with their exclusive datasets that fuel these applications. Additionally, accessing such data from various locations—including within data centers, through multiple public clouds, or out at the network’s periphery—remains a significant hurdle.
Red Hat AI encompasses both Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI). It tackles these issues by offering an enterprise-level AI platform designed to help users implement more effective and streamlined models. These models are tailored using specific business-related data and can subsequently be deployed across various hybrid clouds for comprehensive training and inferencing capabilities on multiple high-performance computing setups.
Red Hat OpenShift AI
Red Hat OpenShift AI offers a comprehensive AI platform designed to handle the entire lifecycle of both predictive and generative AI applications across various environments within a hybrid cloud setup. This includes support for MLOps and LLMOps functionalities. It enables you to develop predictive models as well as fine-tune generative AI models. Additionally, the platform comes equipped with features aimed at streamlining AI model management processes—from initial data science tasks through model pipeline creation, ongoing monitoring, compliance adherence, and beyond.
Red Hat OpenShift AI 2.18, the latest release of the platform, adds new updates and capabilities to support Red Hat AI's aim of bringing better optimized and more efficient AI models to the hybrid cloud. Key features include:
* Distributed serving: Delivered through the vLLM inference server, distributed serving enables IT teams to split model serving across multiple graphical processing units (GPUs). This helps lessen the burden on any single server, speeds up training and fine-tuning and makes more efficient use of computing resources, all while helping distribute services across nodes for AI models.
* An end-to-end model tuning experience: Using InstructLab and Red Hat OpenShift AI data science pipelines, this new feature helps simplify the fine-tuning of LLMs, making them more scalable, efficient and auditable in large production environments while also delivering manageability through the Red Hat OpenShift AI dashboard.
* AI Guardrails: Red Hat OpenShift AI 2.18 helps improve LLM accuracy, performance, latency and transparency through a technology preview of AI Guardrails to monitor and better safeguard both user input interactions and model outputs. AI Guardrails offers additional detection points in helping IT teams identify and mitigate potentially hateful, abusive or profane speech, personally identifiable information, competitive information or other data limited by corporate policies.
* Model evaluation: Using the language model evaluation (lm-eval) component to provide important information on the model's overall quality, model evaluation enables data scientists to benchmark the performance of their LLMs across a variety of tasks, from logical and mathematical reasoning to adversarial natural language and more, ultimately helping to create more effective, responsive and tailored AI models.
RHEL AI
Part of the Red Hat AI portfolio, RHEL AI is a foundation model platform to more consistently develop, test and run LLMs to power enterprise applications. RHEL AI provides customers with Granite LLMs and InstructLab model alignment tools that are packaged as a bootable Red Hat Enterprise Linux server image and can be deployed across the hybrid cloud.
Launched in February 2025, RHEL 1.4 added several new enhancements including:
* Granite 3.1 8B model support for the latest addition to the open source-licensed Granite model family. The model adds multilingual support for inference and taxonomy/knowledge customization (developer preview) along with a 128k context window for improved summarization results and retrieval-augmented generation (RAG) tasks.
* A new graphical user interface for skills and knowledge contributions, available as a developer preview, to simplify data ingestion and chunking as well as how users add their own skills and contributions to an AI model.
* Document Knowledge-bench (DK-bench) for easier comparisons of AI models fine-tuned on relevant, private data with the performance of the same un-tuned base models.
Red Hat AI InstructLab on IBM Cloud
Increasingly, enterprises are looking for AI solutions that prioritize accuracy and data security, while also keeping costs and complexity as low as possible. Red Hat AI InstructLab deployed as a service on IBM Cloud is designed to simplify, scale and help improve the security footprint for the training and deployment of AI models. By simplifying InstructLab model tuning, organizations can build more efficient models tailored to the organizations' unique needs while retaining control of their data.
No-cost AI Foundations training
Artificial Intelligence represents a revolutionary chance that is reshaping enterprise functioning and competition strategies. In response to these evolving conditions, Red Hat has introduced free-of-charge online training courses under their AI Foundations program. This initiative includes two distinct certification tracks aimed at seasoned executives as well as those new to AI, catering to individuals across various proficiency levels who wish to understand how AI can revolutionize operational processes, expedite decision making, and foster creativity. Through the AI Foundations curriculum, participants will learn practical applications of AI within the framework provided by Red Hat’s platform.
Availability
Red Hat OpenShift AI 2.18 and Red Hat Enterprise Linux AI 1.4 are now officially released. For details about new functionalities, enhancements, resolved issues, and instructions on upgrading to the most recent version of Red Hat OpenShift AI, please visit their website. here and the latest version of RHEL AI can be found here.
The upcoming availability of Red Hat AI InstructLab on IBM Cloud is scheduled. Customers can currently access AI Foundations training provided by Red Hat.
Supporting Quotes
Joe Fernandes, Vice President and General Manager of the AI Business Unit at Red Hat, stated, “As organizations increasingly adopt generative AI solutions for various applications in production environments, managing costs becomes critical. Additionally, companies must integrate AI models with internal proprietary data sources effectively. These models should operate seamlessly regardless of where the data resides—be it on-premise, in the cloud, or at the network’s edge. Through our offering, Red Hat AI assists businesses in tackling these issues by providing optimized, tailored models trained specifically on their own datasets and facilitating versatile deployment options.”
Regis Lesbarreres, who serves as the advanced analytics and AI innovation manager at digital innovation for Airbus Helicopters, stated: “When we began our exploration into artificial intelligence, Airbus Helicopters aimed to incorporate AI within our current infrastructure, minimize unauthorized technology usage, bring together our data science team onto one unified AI platform, and streamline cost efficiency across operations. Utilizing Red Hat OpenShift AI has enabled us to achieve every single one of these targets, leading to our initial practical application of AI in business processes. The alignment between Red Hat’s approach to AI and our corporate aims facilitates meeting our objectives while ensuring adaptability, ease of access, and clarity.”
Javier Olaizola Casin, Worldwide Managing Partner, Hybrid Cloud As businesses progressively leverage AI to revamp fundamental operational procedures, there’s an increasing demand for adaptable, budget-friendly, and reliable AI solutions integrated with trustworthy corporate data tailored to specific requirements. With Red Hat AI offering consistent, dependable, and swift capabilities essential for constructing and deploying AI models and applications across various hybrid cloud environments, combining IBM Consulting's deep sector-specific knowledge along with technological proficiency and industrial insights alongside Red Hat’s advanced AI tools enables us to assist our clientele in maximizing returns on their tech expenditures.
Torsten Volks, Principal Analyst of Application Modernization at ESG, states: “Top-performing companies utilize AI-powered, data-focused decision-making across various teams and departments. Thus, the capacity to swiftly and economically create, implement, connect, expand, and manage AI functionalities throughout the organization emerges as a key driver of success. Building such proficiency necessitates an open and adaptable AI infrastructure that guarantees smooth interaction with current systems and procedures, enhances operational flexibility, and maintains ongoing oversight. Empowering employees and clients to leverage AI benefits more extensively and promptly is essential for sustained business prosperity.”
Anand Swamy, Executive Vice President and Global Head of Ecosystems at HCLTech, states, “To fully harness the power of generative AI, companies must focus on establishing nimble and adaptable infrastructures. Through the integration of Red Hat AI’s resources—comprising both RHEL AI and Red Hat OpenShift AI—to provide comprehensive AI application platforms, along with HCLTech’s advanced AI knowledge and cognitive infrastructure services—a component of the HCLTech AI Foundry solutions—clients gain a seamless route towards driving AI innovations. This approach assists them in tackling typical hurdles like ensuring data security, expanding their AI operations efficiently, and reducing infrastructure expenses.”
Additional Resources
* Learn more about Red Hat AI
* Explore Red Hat's AI portfolio
* Read more about Red Hat AI training
Red Hat stands as the premier supplier of open-source enterprise software solutions globally, leveraging a collaborative community model to offer robust and high-performance Linux systems, hybrid clouds, containers, and Kubernetes technologies. They assist clients in merging both old and new IT applications, developing cloud-based applications, adopting their top-tier operating system, and streamlining, securing, and managing intricate ecosystems. Their acclaimed support, education, and advisory services further cement Red Hat’s position. reliable consultant for top corporations As a strategic collaborator with cloud service providers, systems integrators, software suppliers, clients, and open-source groups, Red Hat assists enterprises in getting ready for the digital frontier.
Forward-Looking Statements
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