CUDA + Deep Learning GPU Setup Guides (Linux)

This repo contains clean, tested, and practical guides for setting up GPU environments on Linux servers, including:

• ✅ Clean install of NVIDIA drivers + CUDA Toolkit 12.6
• 🔁 Compatibility handling for RTX 2xxx and 3xxx series GPUs
• 🚀 Future: Apex, TensorBoard, PyTorch setup, multi-GPU tips

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📄 Available Guides

Guide	Description
CUDA_12.6_Installation_Guide.md	Step-by-step clean install for CUDA 12.6 and driver setup
(Coming Soon) Apex Setup Guide	How to install NVIDIA Apex for mixed-precision training
(Coming Soon) TensorBoard + PyTorch	How to log and visualize training easily

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🧠 Why This Repo?

• Solves real pain points in driver mismatch, nvcc not found, nvidia-smi broken
• Focused on minimal + working setup for real-world ML/DL projects
• Easy to copy-paste, no fluff

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🖥️ Supported Platforms

• Ubuntu 20.04 / 22.04
• NVIDIA RTX 2xxx, 3xxx, 4xxx series
• Tested on Conda-based Python environments

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📬 Contribute

Found a better way or a newer driver? PRs and issues welcome!