# Multiple GPU Optimization

The VisionPro Deep Learning supports utilizing multiple GPUs to spread the GPU resources across your application. A single GPU per Deep Learning tool provides the best throughput, while multiple GPUs per tool provide the lowest latency. Here, the throughput means the amount of task handled per given specific time, and the latency means the time taken from calling an API method to receiving the processed results.

- Throughput/Sec: 1 second / latency

- Throughput/Min: 60 second / latency

See Multiple GPUs Utilization and GPU Allocation for the details about the usage of multiple GPUs.