Uploaded February 2026 | Updated September 2026, 2 weeks ago
This livestream is designed to give you clear, practical insights into how VLM fine-tuning works for your specific use case on DGX Spark with 128GB of VRAM.
In this 30-minute session, we’ll cover when fine-tuning is the right approach, dataset preparation, and different training strategies (including full fine-tuning and parameter-efficient methods like LoRA). We’ll also discuss how this fine-tuning approach can be extended to video-based VLMs and the practical considerations that come with training on video workloads.
Join us live, bring your questions, and walk away with a grounded understanding of how to approach VLM fine-tuning effectively.
This livestream is designed to give you clear, practical insights into how VLM fine-tuning works for your specific use case on DGX Spark with 128GB of VRAM.
In this 30-minute session, we’ll cover when fine-tuning is the right approach, dataset preparation, and different training strategies (including full fine-tuning and parameter-efficient methods like LoRA). We’ll also discuss how this fine-tuning approach can be extended to video-based VLMs and the practical considerations that come with training on video workloads.
Join us live, bring your questions, and walk away with a grounded understanding of how to approach VLM fine-tuning effectively.
