GitHub - Tsai-Hyun-Joong/Ubuntu-18.04-RTX-2080-Ti-Driver-cuda-10.0-cudnn-7.0-tensorflow-gpu-Anaconda-Tutorial: This is a tutorial to configure the environment.
![Compute & Synthetics - The NVIDIA GeForce RTX 2080 Ti & RTX 2080 Founders Edition Review: Foundations For A Ray Traced Future Compute & Synthetics - The NVIDIA GeForce RTX 2080 Ti & RTX 2080 Founders Edition Review: Foundations For A Ray Traced Future](https://images.anandtech.com/graphs/graph13346/100947.png)
Compute & Synthetics - The NVIDIA GeForce RTX 2080 Ti & RTX 2080 Founders Edition Review: Foundations For A Ray Traced Future
![A “deterministic” procedure to configure an NVIDIA GPU for data science on Ubuntu 18.10 | by Ivan Vasquez | Medium A “deterministic” procedure to configure an NVIDIA GPU for data science on Ubuntu 18.10 | by Ivan Vasquez | Medium](https://miro.medium.com/max/1400/1*Jcz-9Yx4tJ1lUp1rgUlwfQ.png)
A “deterministic” procedure to configure an NVIDIA GPU for data science on Ubuntu 18.10 | by Ivan Vasquez | 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)