Deploy Local AI in a Snap: No More Resource Hogging

Ready to elevate your local AI game? Here’s how to deploy your all-in-one package to a private cloud instance, making it accessible for your internal team:

• Setup your cloud: Choose a provider (AWS, DigitalOcean, etc.) and spin up a virtual server.
• Install your local AI stack: Pull the latest images for Ollama, Supabase, Qdrant, n8n, Flowise, SearXNG, and Open WebUI.
• Configuration: Use Docker Compose to orchestrate your services, setting internal networking for seamless communication. Here’s a snippet:

version: '3'
services:
  ollama:
    image: ollama/ollama
  supabase:
    image: supabase/supabase
  qdrant:
    image: qdrant/qdrant
  n8n:
    image: n8n
  flowise:
    image: flowise
  searxng:
    image: searxng/searxng
  open_webui:
    image: openai/webui

• Set up subdomains: Host each service on its own subdomain for easy access.
• Resource management: Run your VM with just the resources you need, keeping your local machine free.

Why did the AI go broke?

Because it lost its context!

Now you can let your local AI shine in the cloud! Ready to give it a shot? Which part are you most excited to set up first?