Red Hat accelerates AI integration with OpenShift advancements

Red Hat has made further developments in its hybrid Artificial Intelligence (AI) and Machine Learning (ML) platform, Red Hat OpenShift AI. The platform can facilitate the creation and delivery of AI-enabled applications across hybrid clouds, irrespective of scale. These innovative developments underscore Red Hat's vision for AI. Their commitment to customer choice shapes the arena of intelligent workloads, from the hardware to the associated services and tools, such as Jupyter and PyTorch. Consequently, more rapid innovation, productivity boosts, and the integration of AI into daily business operations are possible.

Moving AI models from the experimental phase into production presents a multitude of challenges, including hardware costs, data privacy concerns, and a reluctance to share data with Software-as-a-Service (SaaS) models. The rapid evolution of Generative AI (GenAI) has also seen organisations struggling to establish a dependable core AI platform that is suitable for either on-premise or cloud operation.

Technological advances, such as AI and ML, necessitate the modernisation of many existing applications and data environments and the breakdown of barriers between current systems and storage platforms, as per IDC. AI platforms must provide flexibility to support enterprises throughout their AI adoption journey. This requirement is particularly salient as businesses' needs and resources may shift over time.

Red Hat's AI strategy facilitates flexibility across the hybrid cloud, enhances pre-trained or curated foundation models with personalised customer data, and allows for various hardware and software accelerators. The new and improved features of Red Hat OpenShift AI's latest version, 2.9, provide access to cutting-edge AI/ML advances and support from an extensive AI-focused partner ecosystem.

As highlighted by Ashesh Badani, Chief Product Officer and Senior Vice President of Red Hat, incorporating AI at an enterprise scale is no longer a question of if but when. He noted that OpenShift AI allows IT leaders to drive intelligent applications anywhere across the hybrid cloud, fine-tuning their operations and models depending on the necessities of production applications and services.

According to Thomas Taroni, CEO of Phoenix Technologies, Red Hat's vision for AI aligns with his company's goal to offer organisations a reliable and sovereign AI solution. Emphasising the incredible flexibility, scalability and security benefits of Red Hat OpenShift AI, he added, "With kvant AI in combination with Red Hat OpenShift AI, organisations are perfectly equipped to integrate predictive and generative models effortlessly, empowering everyone to create AI applications with confidence and agility."

A range of industries are adopting Red Hat OpenShift AI at a rapid pace as it powers AI/ML strategies across the open hybrid cloud. This platform allows AI workloads to operate where data resides, either in the data centre, public clouds or at the edge. More than mundane workloads, Red Hat's vision for AI brings model training and tuning closer to the data, thereby overcoming limitations associated with data sovereignty, compliance and operational integrity.