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Update ZeroGPU specs #1718

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Apr 29, 2025
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Update ZeroGPU specs #1718

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6 changes: 3 additions & 3 deletions docs/hub/spaces-zerogpu.md
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Expand Up @@ -20,8 +20,8 @@ Unlike traditional single-GPU allocations, ZeroGPU's efficient system lowers bar

## Technical Specifications

- **GPU Type**: Nvidia A100
- **Available VRAM**: 40GB per workload
- **GPU Type**: Nvidia H200 slice
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@julien-c julien-c Apr 29, 2025 •
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there's (at least) one another mention of A100 above in the page

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@julien-c julien-c Apr 29, 2025

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also: what is a slice? can you explain succintly what it means?

- **Available VRAM**: 70GB per workload

## Compatibility

Expand All @@ -34,7 +34,7 @@ ZeroGPU Spaces are designed to be compatible with most PyTorch-based GPU Spaces.
### Supported Versions

- Gradio: 4+
- PyTorch: 2.0.1, 2.1.2, 2.2.2, 2.4.0 (Note: 2.3.x is not supported due to a [PyTorch bug](https://github.com/pytorch/pytorch/issues/122085))
- PyTorch: 2.1.2, 2.2.2, 2.4.0, 2.5.1 (Note: 2.3.x is not supported due to a [PyTorch bug](https://github.com/pytorch/pytorch/issues/122085))
- Python: 3.10.13

## Getting started with ZeroGPU
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