![Meshroom 2019.2.0 for linux requires Cuda 3.0 not 2.0 !!! · Issue #734 · alicevision/Meshroom · GitHub Meshroom 2019.2.0 for linux requires Cuda 3.0 not 2.0 !!! · Issue #734 · alicevision/Meshroom · GitHub](https://user-images.githubusercontent.com/9040042/70840956-ef3fa800-1e1e-11ea-8566-3e3a74801df6.png)
Meshroom 2019.2.0 for linux requires Cuda 3.0 not 2.0 !!! · Issue #734 · alicevision/Meshroom · GitHub
![Install Tensorflow-GPU 2.0 with CUDA v10.0, cuDNN v7.6.5 for CUDA 10.0 on Windows 10 with NVIDIA Geforce GTX 1660 Ti. | by Suryatej MSKP | Medium Install Tensorflow-GPU 2.0 with CUDA v10.0, cuDNN v7.6.5 for CUDA 10.0 on Windows 10 with NVIDIA Geforce GTX 1660 Ti. | by Suryatej MSKP | Medium](https://miro.medium.com/max/1400/1*EhalEArdt32_khL0ROD5HQ.png)
Install Tensorflow-GPU 2.0 with CUDA v10.0, cuDNN v7.6.5 for CUDA 10.0 on Windows 10 with NVIDIA Geforce GTX 1660 Ti. | by Suryatej MSKP | Medium
![Bad detection of CUDA capabilities having 2 gfx cards [Solved] then gfx driver (or card) reset before computing was crashing Meshroom in DepthMap node [Solved] · Issue #860 · alicevision/Meshroom · GitHub Bad detection of CUDA capabilities having 2 gfx cards [Solved] then gfx driver (or card) reset before computing was crashing Meshroom in DepthMap node [Solved] · Issue #860 · alicevision/Meshroom · GitHub](https://user-images.githubusercontent.com/63935162/79676778-ca52ab80-81e9-11ea-932a-bcc1d1559336.png)
Bad detection of CUDA capabilities having 2 gfx cards [Solved] then gfx driver (or card) reset before computing was crashing Meshroom in DepthMap node [Solved] · Issue #860 · alicevision/Meshroom · GitHub
![python - GPU Compute Capability 3.0 but the minimum required Cuda capability is 3.5 - Stack Overflow python - GPU Compute Capability 3.0 but the minimum required Cuda capability is 3.5 - Stack Overflow](https://i.stack.imgur.com/Ivf7O.png)
python - GPU Compute Capability 3.0 but the minimum required Cuda capability is 3.5 - Stack Overflow
![Install Tensorflow-GPU 2.0 with CUDA v10.0, cuDNN v7.6.5 for CUDA 10.0 on Windows 10 with NVIDIA Geforce GTX 1660 Ti. | by Suryatej MSKP | Medium Install Tensorflow-GPU 2.0 with CUDA v10.0, cuDNN v7.6.5 for CUDA 10.0 on Windows 10 with NVIDIA Geforce GTX 1660 Ti. | by Suryatej MSKP | Medium](https://miro.medium.com/max/545/1*B28QTiU5WWJA965ONICi8A.png)