Integrate and simplify production AI with Intel and Red Hat

Myriad organizations are embracing artificial intelligence and machine learning (AI/ML) to improve the customer experience, make employees more productive, accelerate innovation, and develop new products with increased speed. Generative AI adoption is increasingly mainstream, with developers across all domains and industries exploring ways to benefit from these foundational models. Despite these attractive benefits and significant industry-wide investments, a high AI/ML project failure rate remains, with many experiencing real challenges moving projects from concept to production.¹ These challenges are understandable since data science encompasses many tasks—data acquisition, model building, development processes, and continuous integration and continuous delivery (CI/CD) to name a few.

With more than 25 years of working together, Intel® and Red Hat® can help organizations face these challenges directly and rapidly operationalize their AI/ML models. Red Hat OpenShift® AI provides an AI-focused portfolio with tools that span the entire life cycle of AI/ML experiments and models. In collaboration with Red Hat, Intel furnishes proven, optimized libraries and toolkits, including Intel oneAPI AI Analytics Toolkit (AI Kit) and OpenVINO Pro for Enterprise. These products equip data scientists with the latest tools and technologies optimized for Intel architecture-based hardware, including Intel Xeon processors, Habana Gaudi for dedicated deep-learning training and inference, Intel Data Center GPU Flex Series for AI inference, and Intel Data Center GPU Max Series for AI inferencing and training.

Data scientists increasingly depend on open source technologies for AI/ML solutions. OpenShift AI integrates these technologies into an enterprise-grade hybrid AI and ML operations (MLOps) platform. With an AI-focused portfolio, OpenShift AI provides tools across the full life cycle of AI/ML experiments and models. The resulting platform is a consistent, unified, and scalable foundation for IT operations (ITOps) leaders, while providing tooling and access to accelerators to data scientists and developers to capture AI innovations. 

Intel technologies are integrated and optimized with open source AI/ML tools and Red Hat OpenShift AI to provide a simplified experience for data scientists, developers, and operations personnel.

• Intel AI Analytics Toolkit. Accessible directly from within a Jupyter Notebook in the Red Hat OpenShift AI environment, Intel AI Analytics Toolkit powered by oneAPI is optimized for maximum performance on Intel architecture-based central processing units (CPUs) and auxiliary processing units (XPUs) and is available as a Red Hat OpenShift operator.
• OpenVINO Pro for Enterprise. Featuring a collection of pretrained models that perform various inference tasks, OpenVINO Pro for Enterprise maximizes the performance of computer workloads across Intel architecture-based hardware and supporting AI applications.
• Habana Gaudi series. With the power of Intel technology, Habana Gaudi delivers unparalleled performance and efficiency, providing rapid,more accurate AI computations for ML algorithms, neural networks, or data analytics.
• Cnvrg.io. Cnvrg.io simplifies the entire MLOps life cycle, automating MLOps processes and allowing you to smoothly integrate your ML workflows while efficiently managing, organizing, and scaling your projects.
• Intel XPUs for performance and accelerated inference. With support for Intel Xeon processors, Intel Habana deep learning processors, and Intel graphic processing units (GPUs), data scientists can select an architecture well-suited for a particular AI solution and reuse their code—without rewriting it—for another architecture and platform.