CUDA error ‘torchvision::nms’ With YOLOv8 Model on NVIDIA GTX Card Solved by blog_1buq8n - October 30, 2024October 30, 20240 If you’re working on deep learning projects using YOLOv8 (You Only Look Once), you may have encountered the error: "CUDA error 'torchvision::nms' With YOLOv8 Model on NVIDIA GTX Card". This error typically arises in environments utilizing NVDIA's CUDA for GPU(graphics processing units) and video cards acceleration. This blog post provides a how-to guide with a step-by-step explanation to identify and resolve this error, allowing you to focus and continue building high-performance machine-learning models. What Does the Error Mean? We are using NVIDIA GeForce GTX 1050 GPU with 4GB VRAM to train a YOLOv8 model. NVDIA's GTX cards being economical solution when you are training models locally. There are high performing GPU cards like the latest one's RTX series (ray tracing). Also one can