# FreeCAD GPU Acceleration - FikoYT

## 🚀 CUDA Integration

**Docker configuration:**
```dockerfile
FROM nvidia/cuda:12.2.0-base-ubuntu22.04
deploy:
  resources:
    reservations:
      devices:
        - driver: nvidia
          count: all
          capabilities: [gpu]
```

## 🎮 GPU Features

**NVIDIA CUDA 12.2.0:**
- **Memory:** 8GB allocated
- **Compute:** CUDA cores
- **Rendering:** Hardware accelerated
- **Encoding:** NVENC support

## 🖥️ Headless Rendering

**Xvfb virtual display:**
```bash
xvfb-run -a -s '-screen 0 1920x1080x24' python3 script.py
```

**Features:**
- **1920x1080** resolution
- **24-bit** color depth
- **No display required**
- **Batch processing** support

## 📊 Performance Metrics

**Rendering speed:**
- **CPU only:** ~30s per frame
- **GPU:** ~2s per frame
- **Speedup:** 15x faster
- **Quality:** Professional grade

## ⚙️ Memory Management

- **GPU memory:** Dedicated allocation
- **System RAM:** 8GB total
- **Shared:** Via Docker volumes
- **Optimization:** Automatic cleanup

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2025-11-06