1. 본인의 GPU에 맞는 Compute Capability 확인
https://developer.nvidia.com/cuda-gpus
CUDA GPUs
Recommended GPU for Developers NVIDIA TITAN RTX NVIDIA TITAN RTX is built for data science, AI research, content creation and general GPU development. Built on the Turing architecture, it features 4608, 576 full-speed mixed precision Tensor Cores for accel
developer.nvidia.com
2. Compute Capability에 맞는 CUDA SDK 버전 확인
https://en.wikipedia.org/wiki/CUDA
CUDA - Wikipedia
CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by Nvidia.[1] It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) fo
en.wikipedia.org
3. CUDA Toolkit 다운로드 및 설치
https://developer.nvidia.com/cuda-toolkit-archive
CUDA Toolkit Archive
Previous releases of the CUDA Toolkit, GPU Computing SDK, documentation and developer drivers can be found using the links below. Please select the release you want from the list below, and be sure to check www.nvidia.com/drivers for more recent production
developer.nvidia.com
4. CUDA Toolkit 버전에 맞게 cuDNN 다운로드 및 압축 해제
https://developer.nvidia.com/rdp/cudnn-download
5. 압축 해제한 폴더들을 CUDA 폴더로 이동
CUDA 위치 (default): C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2
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