Kaggle Setup Guide¶

Complete guide for setting up llcuda v2.2.0 on Kaggle with dual T4 GPUs.

Prerequisites¶

• Kaggle account
• Phone verification (for GPU access)

Step 1: Create Notebook¶

1. Go to kaggle.com/code
2. Click "New Notebook"
3. Choose "Notebook" type

Step 2: Configure GPU¶

1. Click Settings (gear icon)
2. Accelerator → Select GPU T4 x 2
3. Internet → Toggle On
4. Persistence → Optional: Enable for faster startups

Step 3: Install llcuda¶

!pip install -q git+https://github.com/llcuda/llcuda.git@v2.2.0

Step 4: Verify Setup¶

import llcuda
from llcuda.api.multigpu import detect_gpus, print_gpu_info

print(f"llcuda v{llcuda.__version__}")
print_gpu_info()

Step 5: Test Inference¶

Run the Quick Start notebook to verify everything works.

Kaggle Limits¶

• Session Duration: 12 hours maximum
• Disk Space: 73 GB available
• VRAM: 30 GB total (2× 15GB T4)
• Internet: Required for pip installs

Next Steps¶

• Multi-GPU Guide
• Tutorial Notebooks