00-chapter-intro.md
kstack: book: Centerpoint Home Lab chapter: AI & Automation page: Chapter Introduction tags: [ai, automation, ollama, n8n, cuda, gpu]
Overview
emptyThis chapter documents the AI inference, voice processing, and workflow automation
services running on Centerpoint. All GPU-accelerated workloads leverage an NVIDIA
GeForce RTX 5080 connected to the Mini PC via OcuLink, providing 16 GB of GDDR7
VRAM on the Blackwell architecture (Compute Capability 12.0).
GPU Hardware
nvidia (all GPU containers)
All containers that use the GPU are launched with runtime: nvidia and
NVIDIA_VISIBLE_DEVICES=all. No device passthrough via --device /dev/dri is
used — the Intel Arc / IPEX-LLM path has been retired.
Services in This Chapter
ollama
Yes
Local LLM inference backend
Open Web UI
open-webui
No
Chat interface for Ollama and OpenAI APIs
Faster-Whisper
faster-whisper
Yes
Speech-to-text (Whisper large-v3-turbo)
Kokoro
kokoro
Yes
Text-to-speech (TTS) API
Riffado
riffado, riffado-db
No
AI audio podcast app (formerly OpenPlaud)
PaperlessAI
paperless-ai
No
Autonomous document classification via Ollama
N8N
n8n
No
Workflow automation platform
Open Notebook
open-notebook, open-notebook-db
No
AI research notebook (SurrealDB backend)
MCP GitHub
mcp-github-proxy, github-mcp-server
No
GitHub MCP server with OAuth 2.1
Compose Project
Most AI stack services (Ollama, Open Web UI, Kokoro, Faster-Whisper, Open Notebook,
Riffado) are managed as a single Portainer compose project called ai-stack on
a shared ai-internal bridge network plus traefik-net. N8N, PaperlessAI, and
MCP GitHub are separate Portainer stacks.
Last Updated: 2026-06-16