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title: README
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# ZeroGPU Spaces
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<span style="font-weight: 600;">ZeroGPU is currently in beta:</span>
<ul class="list-disc list-inside pl-8">
<li>It's available for everyone to use for free: <a class="underline" target="_blank" href="https://huggingface.co/spaces/enzostvs/zero-gpu-spaces">Browse dedicated Spaces list</a>.</li>
<li>Hosting ZeroGPU Spaces is available for <a class="underline" target="_blank" href="https://huggingface.co/subscribe/pro">PRO</a> users or <a class="underline" target="_blank" href="https://huggingface.co/enterprise">Enterprise</a> organizations.</li>
<li><a class="underline" target="_blank" href="https://huggingface.co/subscribe/pro">PRO</a> users also get x5 more daily usage quota and highest priority in GPU queues when using any ZeroGPU Spaces.</li>
</ul>
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<span style="font-weight: 600;">Please share your feedback about ZeroGPU</span> in the <a class="underline" target="_blank" href="https://huggingface.co/spaces/zero-gpu-explorers/README/discussions" style="color: inherit;">Community tab</a>.
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<span style="font-weight: 600;">ZeroGPU works great with Dev Mode.</span> Learn more about <a target="_blank" href="https://huggingface.co/spaces/dev-mode-explorers/README" class="underline">Dev Mode</a>.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/5f17f0a0925b9863e28ad517/cAlvAOu9QC547zrmRVpS5.gif" style="width: 100%; max-width:950px"/>
*ZeroGPU* is a new kind of hardware for Spaces.
It has two goals :
- Provide **free GPU access** for Spaces
- Allow Spaces to run on **multiple GPUs**
This is achieved by making Spaces efficiently hold and release GPUs as needed
(as opposed to a classical GPU Space that holds exactly one GPU at any point in time)
ZeroGPU uses _Nvidia A100_ GPU devices under the hood (40GB of vRAM are available for each workloads)
<img src="https://cdn-uploads.huggingface.co/production/uploads/5f17f0a0925b9863e28ad517/naVZI-v41zNxmGlhEhGDJ.gif" style="width: 100%; max-width:550px"/>
## Compatibility
*ZeroGPU* Spaces should mostly be compatible with any PyTorch-based GPU Space.<br>
Compatibility with high level HF libraries like `transformers` or `diffusers` is slightly more guaranteed<br>
That said, ZeroGPU Spaces are not as broadly compatible as classical GPU Spaces and you might still encounter unexpected bugs
Also, for now, ZeroGPU Spaces only works with the **Gradio SDK**
Supported versions:
- Gradio: 4+
- PyTorch: All versions from `2.0.0` to `2.2.0` and `2.4.x` (2.3.x is not supported due to a PyToch [bug](https://github.com/pytorch/pytorch/issues/122085))
- Python: `3.10.13`
## Usage
In order to make your Space work with ZeroGPU you need to **decorate** the Python functions that actually require a GPU with `@spaces.GPU`<br>
During the time when a decorated function is invoked, the Space will be attributed a GPU, and it will release it upon completion of the function.<br>
Here is a practical example :
```diff
+import spaces
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained(...)
pipe.to('cuda')
+@spaces.GPU
def generate(prompt):
return pipe(prompt).images
gr.Interface(
fn=generate,
inputs=gr.Text(),
outputs=gr.Gallery(),
).launch()
```
1. We first `import spaces` (importing it first might prevent some issues but is not mandatory)
2. Then we decorate the `generate` function by adding a `@spaces.GPU` line before its definition
Note that `@spaces.GPU` is effect-free and can be safely used on non-ZeroGPU environments
## Duration
If you expect your GPU function to take more than __60s__ then you need to specify a `duration` param in the decorator like:
```python
@spaces.GPU(duration=120)
def generate(prompt):
return pipe(prompt).images
```
It will set the maximum duration of your function call to 120s.
You can also specify a duration if you know that your function will take far less than the 60s default.
The lower the duration, the higher priority your Space visitors will have in the queue
## Getting Started
To **explore and use existing ZeroGPU Spaces**, browse the following list: https://huggingface.co/spaces/enzostvs/zero-gpu-spaces
To **create and host your own ZeroGPU Spaces**:
- For personal accounts:
- <a href="https://huggingface.co/settings/billing/subscription" target="_blank">Subscribe to PRO</a>. Once subscribed, ZeroGPU will appear in the hardware list on <a href="https://huggingface.co/new-space" target="_blank">New Space page</a> when you select the Gradio SDK.
- For organizations:
- <a href="https://huggingface.co/enterprise" target="_blank">Subscribe to the Enterprise Hub</a>. This will enable you to host and collaborate on ZeroGPU Spaces with all your organization members.
## Limitations
**Personal accounts** (PRO subscribers) can host up to 10 ZeroGPU Spaces.
**Organization accounts** subscribed to the Enterprise Hub can host up to 50 ZeroGPU Spaces.
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