Details
Goals & objectives
Hardware & software
Solution overview
This hands-on lab provides a comprehensive introduction to NVIDIA Run:ai, a powerful platform for managing AI workloads on Kubernetes. Designed for AI practitioners, data scientists, and researchers, this lab will guide you through the core concepts and practical applications of Run:ai's workload management system.
What you will explore:
- Run:ai Architecture: Understand the two key components - the Run:ai cluster for scheduling and the control plane for resource management
- AI Workload Lifecycle: Explore how Run:ai supports the complete AI development process from data preparation to model deployment
- Workload Types: Gain hands-on experience with different workload types