Description
Provides TensorFlow with CUDA support so Python machine-learning workloads can use compatible NVIDIA GPUs. It helps training and inference jobs run faster when the model, drivers, and hardware are configured correctly.
Developers and researchers use it as a library. GPU acceleration depends on CUDA, driver, and library compatibility, so test the exact target system and monitor memory, temperature, and reproducibility.