🤖 The AI-First Stack
Own your AI. Run powerful AI locally. No API keys, no usage limits, no data leaving your machine.
| What | Tool | Replaces |
|---|---|---|
| LLM Inference | Llama | ChatGPT ($20/mo) |
| Coding Model | DeepSeek | GitHub Copilot ($10/mo) |
| Image Generation | Stable Diffusion | Midjourney ($10/mo) |
| IDE Assistant | Continue.dev | Copilot extension ($10/mo) |
| Code Autocomplete | Tabby | Tabnine ($12/mo) |
Total saved: ~$69/mo (nice)
Hardware Requirements
Running AI locally requires GPU horsepower. Here’s what you need:
| Model Type | Minimum VRAM | Recommended GPU |
|---|---|---|
| Small LLMs (7B params) | 6 GB | RTX 3060, RTX 4060 |
| Large LLMs (70B params) | 48 GB | 2× RTX 3090, A6000 |
| Image Generation (SDXL) | 8 GB | RTX 3070+ |
| Code Models (DeepSeek) | 8 GB | RTX 4060+ |
🔥 Pro Tip: Start with Ollama + Llama 3. It runs well on an 8GB GPU and gives you a local ChatGPT replacement in under 5 minutes.
Deploy Guides
→ Deploy Ollama (LLM Runner) → Deploy Stable Diffusion → Deploy Tabby (Code AI) → Deploy Continue.dev