Local AI Stack: One Setup for All Your AI Needs

Want to set up a full AI environment locally—chatting, coding, drawing, translating, and voice. But every tool is standalone, and installing them gets messy. Is there a complete recommended setup?

💡 What You Will Learn

Want to set up a full AI environment locally—chatting, coding, drawing, translating, and voice. But every tool is standalone, and installing them gets messy. Is there a complete recommended setup?

|:----|:----|:---:|:--------| || RTX 4090 24GB || 30B Q4 / 14B FP16 | || RTX 3060 12GB || 7B Q4 |

# Installation/SetupUbuntu/Debian

# 1. Ollama - 
curl -fsSL https://ollama.com/install.sh | sh
ollama pull qwen2.5:7b

# 2. Open WebUI - 
docker run -d -p 3000:8080 \
  -v open-webui:/app/backend/data \
  --name open-webui \
  ghcr.io/open-webui/open-webui:main

# 3. AnythingLLM - RAG
docker run -d -p 3001:3001 \
  -v anythingllm:/app/server/storage \
  --name anythingllm \
  mintplexlabs/anythingllm

# 4. n8n - Auto/AutomaticWorkflow
docker run -d -p 5678:5678 \
  -v n8n_data:/home/node/.n8n \
  --name n8n \
  n8nio/n8n

|:----|:--------|:-------:| || Qwen3-7B | 6GB | || DeepSeek R1-7B | 8GB | || Qwen3 Coder-7B | 8GB | || Stable Diffusion 3.5 | 12GB | || Whisper large-v3 | 4GB |