I am writing to express the community’s extreme frustration regarding the recent layout overhauls to the Hugging Face free tier. Specifically, the decisions to completely eliminate the free CPU Basic instance flavor, lock down both the Docker and Gradio SDKs for unpaid personal/organization spaces, and force everyone onto a highly restricted ZeroGPU tier.
The current ZeroGPU restrictions—limiting free tier users to a handful of requests or a few minutes of compute per day—make it completely impossible to debug code, test multi-model routing architectures, or run sustained experiments. Frankly, because of these strict, unusable limits, the community does not care about the ZeroGPU allocation. We would gladly trade it away to have the platform work the way it was originally supposed to.
Hugging Face built its massive reputation by being the ultimate hub for accessible open-source AI. Locking out independent developers and free organizations from creating standard CPU-driven spaces completely kills grassroots innovation.
We strongly urge the product team and board to:
Revert the hardware changes and make the standalone CPU Basic tier completely free and unmetered again.
Remove the paywalls on SDK configurations for both personal accounts and unpaid organizations, allowing raw Docker and Gradio layouts to deploy on basic CPU hardware without restrictions.
Accessibility is what made this platform great. Please stop locking out the very community that helped build Hugging Face.
I am also really shocked and frustrated that Hugging Face has removed the free CPU Basic tier. Because of this, I am now looking for an alternative platform before all of my existing CPU Basic models potentially disappear as well.
So, the first thing I found is Google Colab. There is also a free CPU option available. However, the downside is that the server is automatically shut down after a short period of inactivity if you are not active in Google Colab (for example, if you leave the Colab page). But as far as I know, it should also be fully compatible with Python Gradio, just like we know it from Hugging Face.
Hi, I’m new here. I’m still learning and the entire “Zero GPU” stuff is rather confusing (and sometimes bugged). But Thanks to the community at least I get some basic knowledge. I just wonder: there was a time where you could do stuff her without this Zero GPU thingy that does not even let me use the entire 5 Minutes per day when a space decides it want 61 seconds of GPU time minimum and I only have 60s left? Damn, I’m late to the party it seems. ^^"
Real Hugging Face Spaces Alternatives (With Free Web UI Hosting)
If you need a platform that actually hosts a live web interface (Gradio, Streamlit, or custom Python UIs) with a permanent link—and isn’t just a raw Jupyter Notebook like Colab or Kaggle—here are the real alternatives:
1. Streamlit Community Cloud (streamlit.io/cloud)
How it works: You connect your GitHub repository, pick your Python app file, and hit deploy.
The UI: It hosts live interactive web apps with buttons, text fields, sliders, and chat interfaces natively.
Free Tier: 100% free hosting for up to 3 public apps directly connected to GitHub.
Setup Effort: Super low (literally 2 clicks after pushing code to GitHub).
2. Render (render.com)
How it works: A full-fledged cloud hosting service that offers free Web Services.
The UI: You can run Gradio, Streamlit, or a FastAPI/Flask backend directly on it.
Free Tier: 750 free running hours per month for a web service (2 vCPUs / 512 MB RAM).
Catch: Free services go to sleep after 15 minutes of inactivity and take ~30 seconds to wake up when someone visits your link.
3. PythonAnywhere (pythonanywhere.com)
How it works: Dedicated Python web application hosting.
The UI: Designed specifically to host live Python web apps (Flask, Web2py, Django, custom dashboards).
Free Tier: Gives you 1 free web app under your own username URL (username.pythonanywhere.com).
Catch: Requires clicking a “Renew” button once every 3 months to keep the free app active.
4. Railway (railway.com)
How it works: Instant containerized app deployment directly from GitHub or CLI.
The UI: Supports hosting custom frontends, Gradio interfaces, or API servers.
What it is: A dedicated open-source LLM app development and hosting platform.
The UI Experience: It is completely visual. It features a built-in drag-and-drop dashboard builder where you can plug in backend models, manage your routing logic, configure agent memory, and instantly publish a clean web interface for users without writing any HTML or frontend code.
The Hosting: They offer a free cloud sandbox tier that keeps your deployed applications active and accessible via an independent web link.
What it is: The massive open-source model ecosystem managed by Alibaba.
The UI Experience: It is literally designed to be a direct clone of Hugging Face, down to its own version of “Spaces” (called Model Studio / Demo Hosting).
The Hosting: It natively supports Python web frameworks like Gradio and Streamlit. You can spin up an active web UI instance directly inside their hub, and because they are aggressively competing with Hugging Face for global developers, their basic tier hosting specifications are highly competitive.
3. Replicate + Streamlit Community Cloud
What it is: A two-part infrastructure split that bypasses server management entirely.
The UI Experience: You write your quick UI script in Python using Streamlit and push it to a free GitHub repository. Then, you link it to Streamlit Community Cloud (which hosts your UI natively and continuously for free).
The Hosting: Instead of loading heavy model weights directly inside the web server, your Streamlit script makes quick serverless API calls to Replicate to fetch model outputs (like text or image generation). Replicate gives new accounts free compute credits, handles the entire backend GPU hardware scaling automatically, and charges only per-second during actual model calls—meaning your UI link stays live 24/7 without burning resource limits during idling.
Damn, I’m late to the party it seems. ^^"