PR review: Fix typo in CUDA Compatibility link

Acrolinx fix.

Author: AnnaMHuff

articles/ai-services/computer-vision/spatial-analysis-container.md

@@ -208,7 +208,7 @@ sudo systemctl restart docker
 ## Enable NVIDIA MPS on the host computer
 
 > [!TIP]
-> * Don't install MPS if your GPU compute capability is less than 7.x (pre Volta). See [CUDA Compatability](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#support-title) for reference. 
+> * Don't install MPS if your GPU compute capability is less than 7.x (pre Volta). See [CUDA Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#support-title) for reference. 
 > * Run the MPS instructions from a terminal window on the host computer. Not inside your Docker container instance.
 
 For best performance and utilization, configure the host computer's GPU(s) for [NVIDIA Multiprocess Service (MPS)](https://docs.nvidia.com/deploy/pdf/CUDA_Multi_Process_Service_Overview.pdf). Run the MPS instructions from a terminal window on the host computer.