As artificial intelligence (AI) and machine learning (ML) continue to drive innovation across industries, organizations face challenges in managing and scaling AI workloads effectively. Traditional infrastructures often struggle to meet the demands of modern AI applications, which require massive computational power, flexibility, and streamlined collaboration. This is where Red Hat OpenShift AI steps in, providing a Kubernetes-based platform designed to optimize, scale, and manage AI/ML workflows in cloud-native environments.

This talk will explore how OpenShift AI empowers organizations to accelerate AI model development and deployment at scale, integrating seamlessly with popular AI frameworks like TensorFlow and PyTorch. We will dive into its key features, including support for GPU and hardware acceleration, hybrid cloud flexibility, and powerful MLOps tools that enable the automation of the machine learning lifecycle. Additionally, we will discuss real-world use cases and demonstrate how OpenShift AI can streamline AI workflows, foster collaboration, and ensure secure, compliant deployment.

By the end of the session, attendees will gain a deeper understanding of how OpenShift AI simplifies the complexities of managing AI models, allowing teams to focus on innovation and delivering impactful AI solutions faster and more efficiently.

In today's software development landscape, securing the software supply chain is more critical than ever. This talk will explore how Konflux CI addresses the growing need for robust security and streamlined deployments. With its focus on achieving SLSA compliance, Konflux ensures software builds are secure, transparent, and resilient. By leveraging advanced features like build isolation, provenance tracking, and decentralized architecture, Konflux empowers developers to deliver scalable, secure software faster, all while maintaining the flexibility needed for complex projects. Join us to learn how Konflux transforms DevOps pipelines for the future of secure software delivery.