AI compute · Integration

AI agents for NVIDIA

NIM endpoints and GPU-served models in your workflows. AGNT connects to NVIDIA so agents can read what happens there, reason about it, and act — with a receipt for every run.

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NVIDIA and AGNT, in brief

What it does	Lets an AGNT agent read from and act in NVIDIA.
Connects with	Bearer — held in the local vault
AGNT node	custom-api, or the zapier-action bridge
Runs when	A schedule or another workflow fires it
Typical build time	Ten minutes
Where data goes	Nowhere by default — AGNT runs on your machine and credentials never leave it.

What you can automate

Agents can…

call NIM model endpoints
run GPU-served inference

Teams use it for

self-hosted model serving behind agents
specialised models as workflow steps
local acceleration for heavy jobs

The NVIDIA workflow, to configure

Design goal for NVIDIA: self-hosted model serving behind agents; specialised models as workflow steps; local acceleration for heavy jobs. The template below supplies configurable nodes, not the complete logic for those goals.

Use this NVIDIA setup template to arrange the schedule, input review and API operation. Configure the account-specific fields and add your own decision and approval controls before activation.

Configuration example for NVIDIA. API and model calls may send data to your selected providers.

NVIDIA — read, decide, actSetup template · configure before activation

This is a schema-checked starting point, not an end-to-end tested automation. Replace every CONFIGURE_ value, choose the operations you intend, connect credentials and map source outputs into later inputs. An edge orders steps; it does not supply a condition, an approval gate or a field mapping. Add and test those controls explicitly before any write. Cloud APIs and model providers may receive data. Keep the workflow inactive until tested with fixtures.

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  "id": "f01ff69a-7a23-450b-a18e-a70563daf2ba",
  "name": "NVIDIA — read, decide, act",
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      "y": 144,
      "isEditing": false,
      "type": "trigger-timer",
      "icon": "clock",
      "category": "trigger",
      "isSelected": false,
      "parameters": {
        "fireOnStart": "No",
        "scheduleType": "Interval",
        "schedule": "Every 15 Minutes"
      },
      "description": "Setup template for Timer Trigger. This trigger node fires the workflow at specified intervals or at a specific time. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    },
    {
      "id": "137ed1f6-ff18-479b-ac5b-f879583f08be",
      "text": "Review source and draft",
      "x": 512,
      "y": 336,
      "isEditing": false,
      "type": "agnt-agent",
      "icon": "agnt",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "agentId": "CONFIGURE_AGENTID",
        "message": "Decide what needs to happen in NVIDIA. Explain your reasoning.\nSource input: CONFIGURE_SOURCE_INPUT. Produce a reviewable draft only; do not take external actions."
      },
      "description": "Setup template for Agent Chat. Chat with an AI agent from your agent library. Select an agent and send messages to interact with it within your workflow. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    },
    {
      "id": "d13deed0-4cd1-436f-a8f6-0b572f1adcc2",
      "text": "Call the NVIDIA API",
      "x": 512,
      "y": 528,
      "isEditing": false,
      "type": "custom-api",
      "icon": "connect",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "url": "https://integrate.api.nvidia.com/v1/chat/completions",
        "method": "GET",
        "authType": "None",
        "headers": "{}",
        "query": ""
      },
      "description": "Setup template for Custom API Request. This action node makes a custom API request to any endpoint with configurable method, headers, and authentication. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
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        "type": "output"
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        "type": "input"
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      "startX": 800,
      "startY": 360,
      "endX": 512,
      "endY": 552
    }
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  "zoomLevel": 1,
  "canvasOffsetX": 0,
  "canvasOffsetY": 0,
  "isTinyNodeMode": false
}

Configure Custom API Request

This action node makes a custom API request to any endpoint with configurable method, headers, and authentication.

url — The URL of the API endpoint Current example: https://integrate.api.nvidia.com/v1/chat/completions.
method — The HTTP method for the request Current example: GET.
authType — The type of authentication Current example: None.
query — Query parameters for the request (e.g., 'key1=value1&key2=value2') Current example: .
headers — Optional headers for the request. e.g., {"Content-Type": "application/json"} Current example: {}.

Build this NVIDIA workflow

AGNT Community Core is free and runs on your own machine. Nothing about this workflow leaves it.

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Self-hosted model serving behind your agents

NIM endpoints let a team serve models on their own GPUs with a standard interface, which suits organisations that have made the hardware investment and want workflows pointed at it rather than at a public API.

Specialised models as workflow steps

Not every step wants a general chat model. Vision, speech and domain-specific models served locally can slot in as individual steps, with the general model handling the reasoning around them.

How to reach NVIDIA from a workflow

There is no first-party NVIDIA node yet, and a page implying otherwise would cost you an afternoon. What works today is the generic custom-api node pointed at NVIDIA’s own API, authenticating with bearer.

What you need	Value
Endpoint	`https://integrate.api.nvidia.com/v1/chat/completions`
Method	`POST`
Authentication	Bearer
Header	`Authorization: Bearer {nvapiKey}`
Reference	NVIDIA API documentation

Worth knowing: The request and response shapes are OpenAI-compatible, so an existing OpenAI body works with only the host changed.

One thing to know before you build

The request and response shapes are OpenAI-compatible, so an existing OpenAI body works with only the host changed.

It is worth getting right first, because the failure is quiet rather than loud — you get a response, it just is not the one you wanted. Once past it, NVIDIA is a straightforward API to automate against.

Connect NVIDIA in two minutes

Download AGNT Community Core — free, local-first, no account needed to run.
Connect by pasting an API key into AGNT’s vault — stored encrypted on your machine, never uploaded.
Drop the NVIDIA node into a workflow or hand it to an agent — the first run produces a receipt you can read line by line.