## NVIDIA driver not loaded after GCC upgrade

We have a Lambda Labs workstation running on 18.04.6 LTS (Bionic Beaver), the NVIDIA driver stopped loading after a user upgraded GCC a few days ago. I have tried to uninstall and reinstall the Lambda Stack for deep learning that is supposed to cover the NVIDIA drivers with all the deep learning tools.

## cuDNN Install w/ Lambda Stack

cuDNN is installed for PyTorch and TensorFlow. Both are very specific and require to be built with a version of CUDA and cuDNN. So they are installed with the given PyTorch and TensorFlow. cuDNN.h is a C/C++ code requirement and the C development headers are not installed with the Lambda Stack.

## Upgrade graphics cards

As Cody mentioned, the considerations you need to make are:

1. **Power** - it depends on how many GPUs and how much power you may need.  
   - 4x 2080’s is about 1000 Watts (250 Watts each)  
   - 4x 3090’s is about 1400 Watts (350 Watts each) + spikes above
2. **Cooling/Thermal** - this is probably fine, but...

## Adding more RAM to workstation

There are a number of things to consider when upgrading:

- It is best to use the same memory.  
- You need to fill in specific slots on some motherboards (shown in the manual for a given motherboard).  
- You have to take into account cooling/temperature.

You can see the part number and specifics on the memory.