nvidia

hosts/galadriel/configuration.nix

@@ -13,6 +13,7 @@
   imports = [
     # Include the results of the hardware scan.
     ./hardware-configuration.nix
+    ./nvidia.nix
     ../../modules/boot.nix
     ../../modules/zram.nix
     ../../modules/zfs.nix
@@ -31,7 +32,7 @@
     ../../modules/vaultvarden.nix
     ../../modules/jellyfin.nix
     ../../modules/jupyterhub.nix
-    ../../modules/qbittorrent.nix # broken for now?:  Yes, just need to add the zfs disc again, to enable the paths this depends on. Lets redo that maybe?
+    ../../modules/qbittorrent.nix
     ../../modules/mealie.nix
     ../../modules/miniflux.nix
     ../../modules/ollama.nix

hosts/galadriel/nvidia.nix

@@ -0,0 +1,43 @@
+{ config, lib, pkgs, ... }:
+{
+  # Enable OpenGL
+  hardware.graphics = {
+    enable = true;
+    enable32Bit = true;
+  };
+
+  
+  # Load nvidia driver for Xorg and Wayland
+  services.xserver.videoDrivers = ["nvidia"];
+  boot.initrd.kernelModules = [ "nvidia" ];
+  hardware.nvidia = {
+    modesetting.enable = true;
+      # Nvidia power management. Experimental, and can cause sleep/suspend to fail.
+      #powerManagement.enable = true;
+      # Fine-grained power management. Turns off GPU when not in use. Experimental and only works on modern Nvidia GPUs (Turing or newer).
+      powerManagement.finegrained = true;
+
+      # Use the NVidia open source kernel module (not to be confused with the independent third-party "nouveau" open source driver).
+      # Currently alpha-quality/buggy, so false is currently the recommended setting.
+      open = false; #need proprietary for cuda.
+
+      # Enable the Nvidia settings menu, accessible via `nvidia-settings`.
+      #nvidiaSettings = true;
+
+      # Optionally, you may need to select the appropriate driver version for your specific GPU.
+      package = config.boot.kernelPackages.nvidiaPackages.stable;
+    };
+
+    # Enable the CUDA toolkit
+    #install packages 
+     environment.systemPackages = with pkgs; [
+      cudaPackages.cudatoolkit
+      cudaPackages.cudnn
+      nvtopPackages.nvidia
+      cudaPackages.nccl
+      pkgs.cudaPackages.libcublas
+    ];
+
+
+}
+