Encord has released one of the largest open multimodal datasets alongside EBind, a new training methodology that allows multimodal AI models to be trained on a single GPU in just a few hours. The dataset spans text, images, audio, video, and 3D point clouds, focusing on high quality, well labeled data rather than brute force scale. Encord claims this approach delivers performance comparable to models up to 17 times larger, lowering infrastructure costs and making advanced multimodal AI development more accessible for startups and smaller research teams.