railseek6/gpu_analysis_report.md

GPU Acceleration Root Cause Analysis for PaddleOCR

Current System Status

Hardware Configuration

• GPU: NVIDIA GeForce RTX 4070 (12GB VRAM)
• CUDA Version: 13.0
• Driver Version: 581.15

Software Status

• Current PaddlePaddle: CPU-only version (3.2.0)
• PaddleOCR: 3.3.0 (uninstalled)
• System: Windows Server 2022

Root Cause Analysis

1. Incorrect PaddlePaddle Installation

• Problem: Installed CPU-only version of PaddlePaddle
• Evidence: paddle.device.is_compiled_with_cuda() returns False
• Impact: PaddleOCR cannot use GPU acceleration

2. Parameter Compatibility Issues

• Problem: Using deprecated use_angle_cls parameter
• Solution: Updated to use_textline_orientation=True
• Status: ✅ Fixed

3. GPU Parameter Support

• Problem: PaddleOCR 3.3.0 doesn't support use_gpu or gpu_id parameters
• Root Cause: These parameters were removed in newer versions
• Solution: Install GPU-enabled PaddlePaddle framework

Solution Implementation

Step 1: Install GPU-Enabled PaddlePaddle

# Uninstall CPU version
pip uninstall paddlepaddle paddleocr -y

# Install GPU version compatible with CUDA 13.0
pip install paddlepaddle-gpu==2.6.0 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html

Step 2: Reinstall PaddleOCR

pip install paddleocr

Step 3: Verify GPU Support

import paddle
import paddleocr

print(f"PaddlePaddle GPU support: {paddle.device.is_compiled_with_cuda()}")
print(f"Available GPUs: {paddle.device.cuda.device_count()}")

# Test GPU usage
ocr = paddleocr.PaddleOCR(use_textline_orientation=True, lang='en')

Expected Performance Improvements

CPU vs GPU Performance

• CPU Processing: ~1-2 seconds per page
• GPU Processing: ~0.1-0.3 seconds per page
• Speedup: 5-10x faster

Memory Usage

• CPU: Uses system RAM
• GPU: Uses GPU VRAM (RTX 4070 has 12GB)
• Benefit: Frees system RAM for other processes

Verification Steps

1. Check GPU Detection

   • Verify PaddlePaddle detects GPU
   • Confirm CUDA compatibility

2. Test OCR Performance

   • Process sample PDF with GPU
   • Compare processing times
   • Verify text extraction accuracy

3. System Integration

   • Test through LightRAG WebUI
   • Verify document upload and processing
   • Confirm entity and relationship extraction

Fallback Strategy

If GPU installation fails:

• Use CPU version with Intel oneDNN optimization
• Enable enable_mkldnn=True for CPU acceleration
• Accept slower but functional OCR processing

Current Status

✅ Completed:

• Root cause identified
• Parameter fixes applied
• GPU-enabled PaddlePaddle installation in progress

🔄 In Progress:

• GPU version installation
• System verification

📋 Pending:

• Performance testing
• Production deployment verification