Dynamic Thermal Governance in Local AIOps: Automated GPU Offloading via n8n, Open WebUI, and Ollama
Running local LLMs (Large Language Models) on home server infrastructure or small-form-factor GPUs offers privacy and lower latency, but passive cooling or compact GPU enclosures often face thermal throttling under heavy or sustained prompt workloads. To solve this, we can design an automated AIOps dynamic thermal governance pipeline using n8n , Open WebUI , and Ollama . This architecture intercepts user prompts, checks live GPU core temperatures via an endpoint, and intelligently routes execution to the GPU runtime or automatically falls back to a CPU runtime when heat thresholds are exceeded. Architecture & Workflow Overview [ Open WebUI ] │ (Webhook POST) ▼ [ n8n Workflow ] │ ├─► Extract Payload ├─► Check GPU Temp (HTTP GET to Exporter) ├─► Evaluate Temperature Threshold (e.g., > 60°C) │ ├───► [Temp Normal] ──► Ollama API (GPU) ──► Format Response ──┐ │ │ ...