This program needs a CUDA-Enabled GPU (with at least compute capablility 2.0). · Issue #260 · alicevision/Meshroom · GitHub
![Different Compute Capabilities for Fermi and Kepler GPU architecture... | Download Scientific Diagram Different Compute Capabilities for Fermi and Kepler GPU architecture... | Download Scientific Diagram](https://www.researchgate.net/profile/Kk_Yong2/publication/259561668/figure/fig1/AS:375427408384001@1466520277738/Different-Compute-Capabilities-for-Fermi-and-Kepler-GPU-architecture-NVIDIA-launched-one_Q640.jpg)
Different Compute Capabilities for Fermi and Kepler GPU architecture... | Download Scientific Diagram
![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)
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
![GeForce RTX 3080 with CUDA capability sm_86 is not compatible with the current PyTorch installation. · Issue #45028 · pytorch/pytorch · GitHub GeForce RTX 3080 with CUDA capability sm_86 is not compatible with the current PyTorch installation. · Issue #45028 · pytorch/pytorch · GitHub](https://user-images.githubusercontent.com/52276191/93667640-7ca4dc80-fac2-11ea-80de-47cbdcfa9cd5.png)
GeForce RTX 3080 with CUDA capability sm_86 is not compatible with the current PyTorch installation. · Issue #45028 · pytorch/pytorch · 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)