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NVIDIA NIM API key setup

Optimized inference containers for NVIDIA GPUs. Enterprise-grade performance.

Get your key

  1. Open the NVIDIA NIM API keys page: build.nvidia.com/
  2. Create an account and generate an API key.
  3. Paste it into the Dracon BYOK provider keys, stored encrypted (AES-256-GCM), used browser-direct, works in every Dracon tool.

Use your key in every tab

Two free extensions take the key you just set up. Both read the page you are on and use your own provider key: free, no account, nothing stored on a server we run.

SamAI

Summarize or ask about any page with your own provider key.

Add to Chrome Add to Firefox

AI Auto Form Filler

Complete a web form from a short description, using a model you bring yourself.

Add to Chrome Add to Firefox

All extensions · last checked 2026-10-22.

Get the key and test it

  1. Open the NVIDIA NIM API keys page: build.nvidia.com/ Create a key and copy the secret straight away.
  2. Point your client at this provider's base URL: https://integrate.api.nvidia.com/v1 It speaks the OpenAI-compatible shape, so an OpenAI SDK client works against it with no adapter: only the base URL and the key change.
  3. Prove the endpoint answers before you trust it. Send one call with no Authorization header: a live endpoint answers 401 Unauthorized, because it is waiting for a bearer key. The wording of that error differs by provider (some say invalid_api_key, others incorrect_api_key or Token is invalid), so read the 401 as the signal, not the error text.
  4. Paste the key into the Dracon BYOK provider keys ; stored encrypted, used browser-direct, no relay.
  5. Compare other provider plans when this subscription does not match your usage or budget.

Test the key

Both examples read the key from the NVIDIA_API_KEY environment variable, so the key stays out of the command line.

export NVIDIA_API_KEY="<YOUR_API_KEY>"

curl https://integrate.api.nvidia.com/v1/chat/completions \
  -H "Authorization: Bearer $NVIDIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek-ai/deepseek-v4.1-flash","messages":[{"role":"user","content":"hi"}]}'
import os
from openai import OpenAI

# export NVIDIA_API_KEY="<YOUR_API_KEY>" first
client = OpenAI(
    api_key=os.environ["NVIDIA_API_KEY"],
    base_url="https://integrate.api.nvidia.com/v1",
)
resp = client.chat.completions.create(
    model="deepseek-ai/deepseek-v4.1-flash",
    messages=[{"role": "user", "content": "hi"}],
)
print(resp.choices[0].message.content)

Free tier

Yes. Free endpoint, no credit card. Current featured models rotate, so check the provider's pricing page for the current model list and context. no credit card required

Rate limits: ~40 RPM

Paid plans compared

Every tier NVIDIA NIM publishes, with the price and the limit as the vendor states them, last checked 2026-10-27. Confirm with the provider before you buy. You pay them directly, no Dracon markup.

NVIDIA NIM subscription plans: price, usage limit and what each tier includes.
PlanPriceUsage limitWhat you get
Freeno monthly fee~40 RPM; Rolling free endpoint with current featured models (rotates over time); Free/Standard $0 entry rows; build.nvidia.com live (checked 2026-10-27).
  • All available models
  • Community support
Standardno monthly feePay-per-use after free tier; Free/Standard $0 entry rows; build.nvidia.com live (checked 2026-10-27).
  • All models
  • Pay-per-token

Official plan source: build.nvidia.com/explore/discover,build.nvidia.com/pricing

Connection details

Base URL
https://integrate.api.nvidia.com/v1
API shape
OpenAI-compatible
Env var
NVIDIA_API_KEY
Models
deepseek-ai/deepseek-v4.1-flash, google/gemma-3-12b-it
Model lineup
Llama 3.3 70B, Mistral Large, Qwen 3 235B, Gemma 3 12B, Nemotron 3 8B

Gotchas

Browser-direct blocked: the live /models and /chat/completions responses omit Access-Control-Allow-Origin for the Dracon origin (verified 2026-08-24). Use this key from a non-browser client or Router export.

Our verdicts on this kind of provider

Independent comparisons we keep current as pricing and free tiers shift. A guide is setup; a verdict is whether it's worth setting up.

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