Dive into the world of high-performance model training with multi-GPU setups using PyTorch Lightning, featuring the PaLI-Gemma Vision-Language Model (VLM). This session will cover the essential tools and techniques for setting up efficient distributed training pipelines, allowing you to fully utilize multiple GPUs to speed up and scale model training. We’ll explore PyTorch Lightning’s seamless integration for handling multi-GPU workloads, making it accessible even for those new to distributed training. Attendees will get a step-by-step guide to configuring PaLI-Gemma for accelerated training, from data handling to model synchronization and optimization strategies. By the end, you'll have the skills needed to harness the power of multi-GPU training to scale multimodal AI models effectively.