ActionNvidia NIMUpdated September 2026

How do I call Nvidia NIM for LLM inference?

Short answer: You can nvidia nim chat completion in Nvidia NIM by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Nvidia NIM Nvidia NIM Chat Completion action to a workflow, map its 5 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Nvidia NIM Chat Completion in Nvidia NIM — start free All 3 Nvidia NIM actions

Nvidia NIM Chat Completion in Nvidia NIM — start free

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Model model	options	Required	Which model to use
User Message message	string	Required	Message sent to the model as user role
System Prompt system_prompt	string	Optional	Optional system instructions
Temperature temperature	string	Optional	0-2, higher = more random
Max Tokens max_tokens	string	Optional	Maximum tokens to generate

Sample request

{
  "model": "{{trigger.model}}",
  "message": "Your prompt",
  "system_prompt": "e.g. You are a helpful assistant",
  "temperature": "0.7",
  "max_tokens": "1024"
}

Returns

{
  "id": "chatcmpl_abc",
  "model": "meta/llama-3.3-70b-instruct",
  "usage": {
    "total_tokens": 60,
    "prompt_tokens": 10,
    "completion_tokens": 50
  },
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Sample"
      },
      "finish_reason": "stop"
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for Nvidia NIM Chat Completion.

Any of these apps can fire this action as part of a workflow.

Google Sheets → Nvidia NIM

2 Google Sheets triggers

HubSpot → Nvidia NIM

18 HubSpot triggers

FAQ

Questions about Nvidia NIM Chat Completion.

What does the Nvidia NIM Chat Completion action do in Nvidia NIM?

Runs chat completion against Nvidia-hosted optimised inference for Llama, Mixtral, Nemotron, and other open-source models. OpenAI-compatible shape. For enterprise workflows wanting Nvidia's GPU-optimised inference.

What inputs does Nvidia NIM Chat Completion require?

Required: Model, User Message. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Nvidia NIM returns an error?

The run history shows the failed step with its input and the error message Nvidia NIM returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.

Does Nvidia NIM Chat Completion support batch operations?

Run Nvidia NIM Chat Completion inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within Nvidia NIM's rate limits.

More actions

Other Nvidia NIM actions.

Action

Nvidia NIM Embeddings

Generates embeddings using NIM-hosted models. For RAG-pipeline vector generation in enterprise workflows.

Action

List Nvidia NIM Models

Returns the NIM model catalog. Useful for model selection and capacity planning.

Nvidia NIM Chat Completion in Nvidia NIM — start free