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This launch makes it easier than ever to access public and sovereign models from institutions like the Swiss AI Initiative and AI Singapore — right from Hugging Face. You can browse Public AI’s org on the Hub at https://huggingface.co/publicai and try trending supported models at https://huggingface.co/models?inference_provider=publicai&sort=trending.
The Public AI Inference Utility is a nonprofit, open-source project. The team builds products and organizes advocacy to support the work of public AI model builders like the Swiss AI Initiative and AI Singapore, among others.
The Public AI Inference Utility runs on a distributed infrastructure that combines a vLLM-powered backend with a deployment layer designed for resilience across multiple partners. Behind the scenes, inference is handled by servers exposing OpenAI-compatible APIs on vLLM, deployed across clusters donated by national and industry partners. A global load-balancing layer ensures requests are routed efficiently and transparently, regardless of which country’s compute is serving the query.
Free public access is supported by donated GPU time and advertising subsidies, while long-term stability is intended to be anchored by state and institutional contributions. You can learn more about Public AI’s platform and infrastructure at https://platform.publicai.co/.
You can now use the Public AI Inference Utility as an Inference Provider on Hugging Face. We're excited to see what you'll build with this new provider.
Read more about how to use Public AI as an Inference Provider in its dedicated documentation page.
See the list of supported models here.



The following example shows how to use Swiss AI's Apertus-70B using Public AI as the inference provider. You can use a Hugging Face token for automatic routing through Hugging Face, or your own Public AI API key if you have one.
Note: this requires using a recent version of huggingface_hub (>= 0.34.6).
import os
from huggingface_hub import InferenceClient
client = InferenceClient(
provider="publicai",
api_key=os.environ["HF_TOKEN"],
)
messages = [
{
"role": "user",
"content": "What is the capital of France?"
}
]
completion = client.chat.completions.create(
model="swiss-ai/Apertus-70B-Instruct-2509",
messages=messages,
)
print(completion.choices[0].message)
import { InferenceClient } from "@huggingface/inference";
const client = new InferenceClient(process.env.HF_TOKEN);
const chatCompletion = await client.chatCompletion({
model: "swiss-ai/Apertus-70B-Instruct-2509",
messages: [
{
role: "user",
content: "What is the capital of France?",
},
],
provider: "publicai",
});
console.log(chatCompletion.choices[0].message);
At the time of writing, usage of the Public AI Inference Utility through Hugging Face Inference Providers is free of charge. Pricing and availability may change.
Here is how billing works for other providers on the platform:
For direct requests, i.e. when you use the key from an inference provider, you are billed by the corresponding provider. For instance, if you use a Public AI API key you're billed on your Public AI account.
For routed requests, i.e. when you authenticate via the Hugging Face Hub, you'll only pay the standard provider API rates. There's no additional markup from us; we just pass through the provider costs directly. (In the future, we may establish revenue-sharing agreements with our provider partners.)
Important Note ‼️ PRO users get $2 worth of Inference credits every month. You can use them across providers. 🔥
Subscribe to the Hugging Face PRO plan to get access to Inference credits, ZeroGPU, Spaces Dev Mode, 20x higher limits, and more.
We also provide free inference with a small quota for our signed-in free users, but please upgrade to PRO if you can!
We would love to get your feedback! Share your thoughts and/or comments here: https://huggingface.co/spaces/huggingface/HuggingDiscussions/discussions/49
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