![gpu - CUDA: What is the thread block limitation of devices whose compute capability is 1.0? - Stack Overflow gpu - CUDA: What is the thread block limitation of devices whose compute capability is 1.0? - Stack Overflow](https://i.stack.imgur.com/xOFYb.png)
gpu - CUDA: What is the thread block limitation of devices whose compute capability is 1.0? - Stack Overflow
This program needs a CUDA-Enabled GPU (with at least compute capablility 2.0). · Issue #260 · 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/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
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