When you come across errors related to `cudnn_ops_infer64_8.dll`, it usually points to a problem with the NVIDIA CUDA cuDNN library that's essential for deep learning applications, particularly those involving neural network inference. This Dynamic Link Library (DLL) file contains necessary instructions that allow programs to execute specific tasks efficiently on NVIDIA GPUs. The presence of such an error often indicates a discrepancy between the application's requirements and your system's configuration. The absence of the cuDNN library is a common culprit behind these errors. Since cuDNN is a separate component from the CUDA Toolkit, it requires a distinct installation process. If the application you're trying to run is built to leverage cuDNN for neural network tasks, its absence means the application lacks the resources to execute these tasks, leading to errors. It's also possible that the version of cuDNN installed on your system doesn't match the one the application needs. Given the fast pace at which deep learning technologies evolve, applications might require specific versions of libraries like cuDNN to function correctly.

To resolve such issues, the first step is to ensure that cuDNN is installed on your system. If it is, verify that the version aligns with what the application requires. Sometimes, simply reinstalling the application can resolve the issue, as it may come bundled with the correct version of cuDNN. If that doesn't work, manually installing or updating the cuDNN library on your system to the required version could fix the problem. Remember, handling DLL files directly is not recommended due to the complexities of dependencies and the risk of introducing new errors.