Nvidia NIM
Nvidia NIM hosted LLM inference
Nvidia NIM is Nvidia's hosted inference platform — packages popular open-source models (Llama, Mixtral, Nemotron, Mistral) into optimised containers running on Nvidia GPUs, accessible via an OpenAI-compatible API. Used by enterprises that want best-in-class GPU-optimised inference without building the deployment infrastructure themselves. Tiny Command exposes three actions, no triggers: Chat Completion (against the NIM model catalog with OpenAI-compatible request shape), Create Embeddings (embedding models in the NIM catalog), List Models. The connection uses an Nvidia NGC API key from build.nvidia.com. NIM's value is enterprise inference — guaranteed availability, GPU-optimised throughput, and easy on-premise deployment (NIM containers can also run on your own infrastructure if you want to bring GPUs). For workflows that want best-in-class open-model inference with Nvidia's optimisations, NIM is the right choice; for OSS-lab pricing, providers like Together or DeepInfra are cheaper.
Do anything Nvidia NIM can do, from a workflow.
Every action accepts dynamic inputs from upstream nodes, whether that's an AI output, a form field, or a search result.
| Action | What it does |
|---|---|
| Nvidia NIM Chat Completion | 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. |
| Nvidia NIM Embeddings | Generates embeddings using NIM-hosted models. For RAG-pipeline vector generation in enterprise workflows. |
| List Nvidia NIM Models | Returns the NIM model catalog. Useful for model selection and capacity planning. |
Pre-built Nvidia NIM workflows.
Clone any recipe and customize it in one click. Every recipe is fully editable.
Three things worth knowing.
Tiny Command counts a run the moment a trigger fires. Filtering early means only matching events spend your usage budget.
Connect Nvidia NIM once and every workflow on your account can use its triggers and actions. You don't have to re-auth per workflow.
Every Nvidia NIM field shows up in the visual picker for downstream nodes. The raw payload is there for power users, optional for everyone else.
Questions about the Nvidia NIM integration.
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How do I connect Nvidia NIM to Tiny Command?
What Nvidia NIM triggers does Tiny Command support?
What Nvidia NIM actions can I run from a workflow?
Is the Nvidia NIM integration real-time?
Do I need to write code to use Nvidia NIM with Tiny Command?
How much does the Nvidia NIM integration cost?
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Wire it to Slack, Notion, HubSpot, Stripe, or any of the other 438 apps in our catalog. Setup takes roughly two minutes. Free to try, no credit card.
