Featherless AI on Hugging Face Inference Providers 🔥
Hugging Face
Hugging Face added Featherless AI as a new inference provider on its Hub. Now you get serverless access to a huge catalog of open models like DeepSeek and Llama, without running your own servers.
Based on reporting by Hugging Face — read the original for the full story.
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Hugging Face keeps stacking inference providers onto its Hub, and the newest addition is Featherless AI, a company that's built its whole pitch around solving one annoying tradeoff: providers usually either give you cheap access to a small handful of models, or unlimited model choice paired with the headache of managing your own GPU infrastructure. Featherless claims to split that difference, using its own model-loading and GPU orchestration tricks to offer a genuinely large catalog — DeepSeek, Meta's Llama family, Google's Gemma line, Qwen, and plenty more — all served serverless, meaning you never touch a GPU yourself.
The integration works exactly like Hugging Face's other providers. On any compatible model page, Featherless shows up in the widget and code snippets, and you can reorder your preferred providers in your account settings. There are two ways to pay: bring your own Featherless API key and get billed directly by Featherless, or let Hugging Face route the request, in which case it charges your HF account at the same provider rate with no markup added. Hugging Face says down the line it might set up revenue-sharing deals with providers, but for now it's just passing costs through.
On the developer side, it's a couple of lines of code. Version 0.33.0 or later of huggingface_hub in Python, or the @huggingface/inference package in JS, lets you spin up an InferenceClient, set provider to "featherless-ai", and call something like DeepSeek-R1-0528 with a standard chat completion request. No separate SDK to learn, no new auth flow to figure out — it slots into the same client code developers are likely already using for other providers on the Hub.
Pricing-wise, PRO subscribers get $2 of inference credit monthly that stretches across every provider, not just Featherless, and free-tier signed-in users get a smaller quota to test things out. It's a modest amount, but enough to kick the tires on a model like DeepSeek-R1 before deciding whether to commit an API key of your own.
My take — AI-written commentary, not fact-checked reporting
This is Hugging Face doing what it does best: quietly becoming the switchboard for the entire open-model ecosystem rather than trying to be the compute provider itself. I like that the routing is markup-free for now, though I'd bet revenue-sharing shows up within a year once enough traffic flows through. If you care about open models actually being usable without owning a GPU cluster, this kind of plumbing matters way more than the next flashy model release.
Read more about this at: Hugging Face