Deploy Llama 3.3 Nemotron 49B Super - NVIDIA NIM on Baseten

NVIDIA logoLlama 3.3 Nemotron 49B Super - NVIDIA NIM

A high-efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following. Learn more

Deploy Llama 3.3 Nemotron 49B Super - NVIDIA NIM behind an API endpoint in seconds.

Example usage

Input
1import requests
2
3# Replace the empty string with your model id below
4model_id = ""
5baseten_api_key = os.environ["BASETEN_API_KEY"]
6
7messages = [
8    {"role": "user", "content": "Write a limerick about the wonders of GPU computing.?"},
9]
10data = {
11    "messages": messages,
12    "stream": True,
13    "max_new_tokens": 512
14}
15
16# Call model endpoint
17res = requests.post(
18    f"https://model-{model_id}.api.baseten.co/production/predict",
19    headers={"Authorization": f"Api-Key {baseten_api_key}"},
20    json=data,
21    stream=True
22)
23
24# Print the generated tokens as they get streamed
25for content in res.iter_content():
26    print(content.decode("utf-8"), end="", flush=True)
JSON output
1null

Deploy any model in just a few commands

Avoid getting tangled in complex deployment processes. Deploy best-in-class open-source models and take advantage of optimized serving for your own models.

$

truss init -- example stable-diffusion-2-1-base ./my-sd-truss

$

cd ./my-sd-truss

$

export BASETEN_API_KEY=MdNmOCXc.YBtEZD0WFOYKso2A6NEQkRqTe

$

truss push

INFO

Serializing Stable Diffusion 2.1 truss.

INFO

Making contact with Baseten 👋 👽

INFO

🚀 Uploading model to Baseten 🚀

Upload progress: 0% | | 0.00G/2.39G