Updated with latest GPU

README.md

@@ -49,7 +49,7 @@ It has two goals :
 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)
+ZeroGPU uses _Nvidia H200_ GPU devices under the hood (70GB of vRAM are available for each workload)
 
 <img src="https://cdn-uploads.huggingface.co/production/uploads/5f17f0a0925b9863e28ad517/naVZI-v41zNxmGlhEhGDJ.gif" style="width: 100%; max-width:550px"/>
 
@@ -64,7 +64,7 @@ Also, for now, ZeroGPU Spaces only works with the **Gradio SDK**
 
 Supported versions:
 - Gradio: 4+
-- PyTorch: `2.1.0` to `2.5.1` (2.3.x is not supported due to a PyToch [bug](https://github.com/pytorch/pytorch/issues/122085))
+- PyTorch: `2.1.2` to `2.5.1` (2.3.x is not supported due to a PyToch [bug](https://github.com/pytorch/pytorch/issues/122085))
 - Python: `3.10.13`
 
 ## Usage