Red Hat continued development of its hybrid artificial intelligence (AI) and machine learning (ML) platform, Red Hat OpenShift AI. The platform can facilitate the creation and delivery of AI-driven applications in hybrid clouds, regardless of scale. These innovative developments underscore Red Hat’s vision for AI. Their commitment to customer choice is shaping the field of intelligent workloads, from hardware to associated services and tools, such as Jupyter and PyTorch. Therefore, faster innovation, productivity gains and the integration of AI into daily business operations are possible.
Moving AI models from the experimental phase to the production phase presents a multitude of challenges, including hardware costs, data privacy concerns, and reluctance to share data with Software-as-a-Service (SaaS) models. a-Service). The rapid evolution of generative AI (GenAI) has also seen organizations struggle to establish a reliable core AI platform suitable for operation on-premises or in the cloud.
Technological advancements, such as AI and ML, require the modernization of many existing applications and data environments and the removal of barriers between current systems and storage platforms, according to IDC. AI platforms must provide the flexibility to support businesses throughout their AI adoption journey. This requirement is particularly important as business needs and resources may change over time.
Red Hat’s AI strategy facilitates flexibility in the hybrid cloud, enhances pre-trained or curated base models with custom customer data, and enables various hardware and software accelerators. New and enhanced features in the latest Red Hat OpenShift AI version 2.9 provide access to cutting-edge AI/ML advancements and support from a broad AI-focused partner ecosystem.
As Ashesh Badani, chief product officer and senior vice president at Red Hat, points out, integrating AI across the enterprise is no longer a question of if, but when. He noted that OpenShift AI allows IT leaders to drive intelligent applications anywhere in the hybrid cloud, adjusting their operations and models based on the needs 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 of providing organizations with a trusted and sovereign AI solution. Highlighting the incredible flexibility, scalability and security benefits of Red Hat OpenShift AI, he added: “With kvant AI in combination with Red Hat OpenShift AI, organizations are perfectly equipped to integrate predictive and generative models effortlessly, allowing everyone to build AI applications with confidence. and agility.”
Many industries are adopting Red Hat OpenShift AI at a rapid pace as it powers AI/ML strategies in the open hybrid cloud. This platform enables AI workloads to operate where the data resides, whether in the data center, public clouds, or at the edge. More than mundane workloads, Red Hat’s vision for AI brings model training and tuning closer to data, overcoming limitations associated with data sovereignty, compliance and operational integrity.
