This video introduces Amazon SageMaker HyperPod, a new product designed to accelerate foundation model training. The speakers discuss the challenges of large-scale model training, including cluster provisioning, infrastructure stability, and performance optimization. HyperPod addresses these issues by providing a resilient training environment with self-healing capabilities, optimized distributed training libraries, and a flexible user experience for rapid iteration. Customer examples from Stability AI, Perplexity AI, and Hugging Face demonstrate significant improvements in training time and research productivity. The presentation includes a detailed explanation of HyperPod's architecture, customization options, and auto-healing features, as well as a live demo showcasing its resilience during hardware failures.