Framework-Aware CUDA/cuDNN Installer

[mikejmorgan-ai]

Problem (Pain Point #4 - HIGH)

CUDA setup is described as a "shameful and humbling week-long endeavor" for AI/ML developers.

"You've installed PyTorch with CUDA 12.1, but your system has CUDA 11.8 installed... Welcome to CUDA-version hell."

The Hell Triangle:

• System NVIDIA driver version
• CUDA toolkit version
• Framework requirements (PyTorch, TensorFlow, JAX)

All three must align perfectly or nothing works.

Solution

Build a framework-aware CUDA installer that:

1. Detects installed frameworks (PyTorch, TensorFlow, etc.)
2. Reads their CUDA requirements
3. Checks current driver compatibility
4. Installs matching CUDA/cuDNN versions
5. Validates with actual framework test

Bounty: $100 (+ $100 bonus after funding)

Paid on merge to main.

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Based on Linux Pain Points Research 2025-2026

[jeremylongshore]

Hi! I'd like to work on this. I have experience with CUDA/cuDNN installations across different frameworks (PyTorch, TensorFlow, JAX) and can implement framework-aware version detection and compatibility matching. CLA already signed.

[Anshgrover23]

@jeremylongshore As per our policy, we don’t assign more than three issues at a time.