Leveraging Red Hat OpenShift AI to Accelerate AI/ML Workflows at Scale

This conference talk explores how Red Hat OpenShift AI helps organizations overcome challenges in managing and scaling AI/ML workloads effectively. Discover how this Kubernetes-based platform optimizes AI model development and deployment in cloud-native environments, integrating with popular frameworks like TensorFlow and PyTorch. Learn about key features including GPU and hardware acceleration support, hybrid cloud flexibility, and MLOps tools that automate the machine learning lifecycle. Examine real-world use cases demonstrating how OpenShift AI streamlines workflows, enhances collaboration, and ensures secure, compliant deployment. Presented by Adarsh Dubey at DevConf.IN 2025, this 12-minute session provides insights into simplifying AI model management, allowing teams to focus on innovation and deliver impactful AI solutions more efficiently.