🏵 N8N integration with GPUStack 🏵

[wugutech]

GPUstack mentions N8N at GPUStack v0.6: Distributed vLLM, Model Compatibility Checks, Auto Recovery & 100+ Enhancements for the Best Model Inference Experience – GPUStack.ai

" GPUStack also provides **OpenAI-compatible APIs** , making it easy to integrate with upper-layer application frameworks like **Dify, n8n, LangChain, and LlamaIndex** —making it an ideal choice for enterprises building robust AI model serving infrastructure."

Someone obviously use both of them with kind of workaround at Tools Agent in n8n leads to repetative "Invalid 'content' field" when calling tool model in GPUStack · Issue #1145 · gpustack/gpustack · GitHub

So Whats the plan from N8N side ?

I have similar question at

NVIDIA NIM node for N8N

Dify and Flowise got prebuilt NVIDIA NIM, This node is quite important for enterprise GPU usage, Where should we ask the integration ? N8N or NVIDIA ? This could become critical decision making point for enterprise license subscription. In fact the customer already asked about it.