Description
Deep-learning models can use the Caffe framework with CUDA acceleration for compatible NVIDIA GPUs. It is useful for developers and researchers who need faster training or inference than the CPU-only build can provide.
This is a machine-learning framework that depends on GPU drivers and CUDA compatibility. Workloads can consume significant GPU memory and power, and model results depend on data quality and validation.