#
Nscale

> All supported Nscale models can be found here

Nscale is a vertically integrated AI cloud that delivers bespoke, sovereign AI infrastructure at scale.

Built on this foundation, Nscale’s inference service empowers developers with a wide range of models and ready-to-use inference services that integrate into workflows without the need to manage the underlying infrastructure.

##
Supported tasks

###
Chat Completion (LLM)

Find out more about Chat Completion (LLM) here.

Language

Client

Provider

Settings

    import os
    from openai import OpenAI

    client = OpenAI(
        base_url="https://router.huggingface.co/v1",
        api_key=os.environ["HF_TOKEN"],
    )

    completion = client.chat.completions.create(
        model="openai/gpt-oss-20b:nscale",
        messages=[
            {
                "role": "user",
                "content": "What is the capital of France?"
            }
        ],
    )

    print(completion.choices[0].message)

###
Chat Completion (VLM)

Find out more about Chat Completion (VLM) here.

Language

Client

Provider

Settings

    import os
    from openai import OpenAI

    client = OpenAI(
        base_url="https://router.huggingface.co/v1",
        api_key=os.environ["HF_TOKEN"],
    )

    completion = client.chat.completions.create(
        model="meta-llama/Llama-4-Scout-17B-16E-Instruct:nscale",
        messages=[
            {
                "role": "user",
                "content": [
                    {
                        "type": "text",
                        "text": "Describe this image in one sentence."
                    },
                    {
                        "type": "image_url",
                        "image_url": {
                            "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
                        }
                    }
                ]
            }
        ],
    )

    print(completion.choices[0].message)

###
Text To Image

Find out more about Text To Image here.

Language

Provider

Settings

    import os
    from huggingface_hub import InferenceClient

    client = InferenceClient(
        provider="nscale",
        api_key=os.environ["HF_TOKEN"],
    )

    # output is a PIL.Image object
    image = client.text_to_image(
        "Astronaut riding a horse",
        model="stabilityai/stable-diffusion-xl-base-1.0",
    )

Update on GitHub