By Red Hat, Inc., provider of open source solutions, has announced the latest updates to Red Hat AI, its portfolio of products and services designed to help accelerate the development and deployment of AI solutions across the hybrid cloud. Red Hat AI provides an enterprise AI platform for model training and inference that delivers increased efficiency, a simplified experience and the flexibility to deploy anywhere across a hybrid cloud environment.
Even as businesses look for ways to reduce the costs of deploying large language models (LLMs) at scale to address a growing number of use cases, they are still faced with the challenge of integrating those models with their proprietary data that drives those use cases while also being able to access this data wherever it exists, whether in a data center, across public clouds or even at the edge.
Encompassing both Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI), Red Hat AI addresses these concerns by providing an enterprise AI platform that enables users to adopt more efficient and optimised models, tuned on business-specific data and that can then be deployed across the hybrid cloud for both training and inference on a wide-range of accelerated compute architectures.
Red Hat OpenShift AI provides a complete AI platform for managing predictive and generative AI (gen AI) lifecycles across the hybrid cloud, including machine learning operations (MLOps) and LLMOps capabilities. The platform provides the functionality to build predictive models and tune gen AI models, along with tools to simplify AI model management, from data science and model pipelines and model monitoring to governance and more.
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 optimised and more efficient AI models to the hybrid cloud. Key features include:
Joe Fernandes, vice president and general manager, AI Business Unit, Red Hat
“Red Hat knows that enterprises will need ways to manage the rising cost of their generative AI deployments, as they bring more use cases to production and run at scale. They also need to address the challenge of integrating AI models with private enterprise data and be able to deploy these models wherever their data may live. Red Hat AI helps enterprises address these challenges by enabling them to leverage more efficient, purpose-built models, trained on their data and enable flexible inference across on-premises, cloud and edge environments.”
Régis Lesbarreres, advanced analytics and AI innovation manager, digital innovation, Airbus Helicopters
“At the outset of our AI journey, Airbus Helicopters was looking to integrate AI into our existing architecture, reduce shadow IT, unite our data scientists under a singular AI platform and optimise costs at scale. With Red Hat OpenShift AI, we’ve been able to accomplish all of these goals, which led to our first business use case for AI. Red Hat’s vision for AI aligns with our business objectives and allows us to meet them while maintaining flexibility, accessibility and transparency.”
Torsten Volks, principal analyst, application modernisation, ESG
“Leading organisations harness AI-driven, data-centric decision making across teams and business units. Therefore, the ability to rapidly and cost effectively develop, deploy, integrate, scale and govern AI-based capabilities across the enterprise becomes a critical success factor. Establishing this capability requires an open and extensible AI foundation that ensures seamless integration with existing systems and processes, operational agility and continuous governance. Enabling staff and customers to benefit from AI capabilities faster and in a more comprehensive manner is crucial for continued business success.”
Anand Swamy, executive vice president and global head of ecosystems, HCLTech
“In order to realise the full potential of generative AI, organisations need to prioritise agile and flexible infrastructure. By combining the capabilities of Red Hat AI, encompassing RHEL AI and Red Hat OpenShift AI to deliver an end-to-end AI application platform, with HCLTech’s leading AI expertise and cognitive infrastructure services, a part of HCLTech AI Foundry solution, customers get a streamlined path to unlocking AI innovation, helping them overcome common challenges such as data security, scaling AI workloads and minimising infrastructure costs.”
