Description
n8n-nodes-nvidia-nim
!n8n.io – Workflow Automation
!npm version
!License: MIT
n8n community node for NVIDIA NIM – Chat completions and image analysis with NVIDIA AI models.
📋 Requirements
- n8n version 1.0.0 or higher
- Node.js v18.17.0 or higher
- NVIDIA NGC API Key – Get yours at ngc.nvidia.com
📦 Installation
Via n8n Community Nodes (Recommended):
1. Go to Settings → Community Nodes
2. Click Install
3. Enter: n8n-nodes-nvidia-nim
4. Restart n8n after installation
Via npm:
npm install n8n-nodes-nvidia-nim
⚙️ Setup
1. Get NVIDIA API Key: ngc.nvidia.com
2. Add Credentials in n8n:
– Go to Credentials → New
– Select NVIDIA NIM API
– Enter API Key and Base URL: https://integrate.api.nvidia.com/v1
🎯 Basic Usage
Text Chat
1. Add “NVIDIA NIM” node → Configure model (e.g., meta/llama3-8b-instruct)
2. Connect: Trigger → NVIDIA NIM (main)
3. Execute workflow
Image Analysis
1. Add “NVIDIA NIM Image Analysis” node → Configure vision model (e.g., meta/llama-3.2-11b-vision-instruct)
2. Provide image data (URL, base64, or data URL) and analysis prompt
3. Connect: Trigger → NVIDIA NIM Image Analysis (main)
4. Execute workflow
🤖 Available Models
Text Models
Current recommended models include:
meta/llama-3.1-8b-instruct ⭐ (recommended, fast & efficient)meta/llama-3.1-70b-instruct (high quality)meta/llama-3.1-405b-instruct (best performance)nvidia/nemotron-4-340b-instruct (enterprise-grade)mistralai/mixtral-8x7b-instruct-v0.1deepseek-ai/deepseek-r1 (reasoning models)google/gemma-2-27b-itsnowflake/snowflake-arctic-instructView all models →
Try NVIDIA NIM APIs →
Vision Models
meta/llama-3.2-11b-vision-instruct ⭐ (recommended)meta/llama-3.2-90b-vision-instruct⚙️ Configuration
Key Parameters:
📚 Resources
🤝 Contributing
Issues and PRs welcome on GitHub
—
Made by Akash Kumar Naik