PyTorch GPU
PyTorch GPU is the GPU-accelerated version of the PyTorch deep learning framework, enabling high-performance computation on NVIDIA GPUs using CUDA and cuDNN libraries. It allows developers to leverage parallel processing capabilities of GPUs for training and inference of neural networks, significantly speeding up machine learning workflows compared to CPU-only execution.
Developers should use PyTorch GPU when working on computationally intensive deep learning tasks such as training large neural networks, computer vision models, or natural language processing models where training time is critical. It's essential for research, production deployments, and any scenario requiring real-time inference or handling large datasets, as GPU acceleration can reduce training times from days to hours.