Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn how FC-NVMe technology enhances containerized machine learning models in this 51-minute webcast from industry experts. Explore Docker container fundamentals, machine learning principles, and storage access requirements for ML/DL workloads. Discover the architectural advantages of NVMe over Fibre Channel for machine learning applications, including improved performance and resource utilization. Master the implementation of containerized ML models using FC-NVMe through detailed technical discussions covering workflow optimization, shared storage solutions, and real-world use cases. Gain insights from HPE and Marvell specialists as they demonstrate how FC-NVMe addresses the resource-intensive demands of training data processing and model development while maintaining optimal performance levels.