- NVIDIA RTX 3070.
- Ubuntu 18.04
i was installing cuda toolkit 11.0, 11.1, 11.1 update 1 but all of them resulting black screen to me whenever i do rebooting. from linux installations guide it order us to avoid conflict by remove driver that previously installed
but it turns out all those cuda toolkit above installing a wrong driver which makes a black screen happened to my PC, so im installing nvidia-driver-460 from Ubuntu apt-get, and it turns out to be ok for now…
but when i look at the cuDNN support metrix page, i can only install cuDNN 8.1.0 with CUDA 11.2 that supports 460 driver version (1st row of table)
and when i look at TensorRT support metrix, it shows that 11.2 only supported by cuDNN 8.0.5. here is what makes me so confused.
in cuDNN page i just see CUDA 11.2 is the only version supported by cuDNN 8.1.0 but why in TensorRT page shows that we should use cuDNN 8.05 instead?
So i think another way by downgrading my driver either to 450 or 455 that supports my RTX 3070 so that i can use CUDA 11.0 or CUDA 11.1 and install cuDNN 8.0.5 to satisfied requirements for TensorRT.
but now when i look at the NVIDIA driver page, i saw that my option is only 455 and its not NVIDIA certified and short time linux (so i don’t think its a good driver to install)
its pretty confusing for me…
- the linux installations guide is not properly installed the correct NVIDIA Driver for my RTX 3070
- support metrix page between 1 product to another seems dead-locking each other…
can someone please help me to provide the correct version that compatible for each product?