Mixed precision combines different numerical precisions in a computational method. The Volta and Turing generation of GPUs introduced Tensor Cores, which provide significant throughput speedups over single precision math pipelines. Deep learning networks can be trained with lower precision for high throughput, by halving storage requirements and memory traffic on gradient and activation tensors. The following NVIDIA tools can enable you to analyze your model and maximize Tensor Cores utilization. NVIDIA Nsight Systems provides developers with a system-wide performance analysis tool, offering a complete and unified view of how their applications utilize a computer's CPUs and GPUs.