Skip to content

Installation Guide

Complete installation guide for llcuda v2.2.0 on Kaggle dual T4 GPUs.

Requirements

Hardware

Component Requirement
GPU NVIDIA Tesla T4 (Kaggle 2× T4)
VRAM 15GB (single T4) or 30GB (dual T4)
RAM 16GB+ recommended

Software

Component Requirement
Python 3.11 or higher
CUDA 12.x runtime
OS Linux (Ubuntu 20.04+, Kaggle)
pip 23.0+

Step 1: Configure Notebook Settings

  1. Go to kaggle.com/code
  2. Create new notebook
  3. Settings → Accelerator → GPU T4 × 2 ✅
  4. Settings → Internet → On ✅

Step 2: Install llcuda

# Install from GitHub v2.2.0
pip install git+https://github.com/llcuda/llcuda.git@v2.2.0

Step 3: Verify Installation

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

# Check version
print(f"llcuda version: {llcuda.__version__}")  # 2.2.0

# Verify dual T4 setup
gpus = detect_gpus()
print(f"Detected {len(gpus)} GPUs")
print_gpu_info()

Expected output: 

llcuda version: 2.2.0
Detected 2 GPUs

GPU 0: Tesla T4
  Memory: 15.0 / 15.0 GB
  Compute Capability: 7.5

GPU 1: Tesla T4
  Memory: 15.0 / 15.0 GB
  Compute Capability: 7.5

Binary Download

On first import, llcuda automatically downloads CUDA binaries:

Next Steps