Opening article
Hugging Face has announced that Fireworks.ai is now a supported inference provider on the HF Hub. Users can run serverless inference on models such as DeepSeek-R1 and Llama‑3.3‑70B‑Instruct directly through Fireworks.ai, either via a Hugging Face token or a Fireworks.ai API key. The integration allows billing through the provider’s standard rates, with no additional markup from Hugging Face. PRO users receive $2 of inference credits monthly and can use them across providers.
Following our recent announcement on Inference Providers on the Hub , we're thrilled to share that Fireworks.ai is now a supported Inference Provider on HF Hub!
Fireworks.ai delivers blazing-fast serverless inference directly on model pages, as well as throughout the whole HF ecosystem of libraries and tools, making it easier than ever to run inference on your favorite models.
Among others, starting now, you can run serverless inference to the following models via Fireworks.ai:
Use the huggingface_hub python library to call Fireworks.ai endpoints by defining the provider parameter.
Here's how you can call Llama-3.3-70B-Instruct using Fireworks.ai as the inference provider via cURL.
For direct requests, i.e. when you use a Fireworks key, you are billed directly on your Fireworks account.
For routed requests, i.e. when you authenticate via the hub, you'll only pay the standard Fireworks 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.)
The partnership expands Hugging Face’s inference ecosystem, giving developers faster, cost‑effective access to powerful models and encouraging broader adoption of serverless AI services.