Update README to reflect current Lightning Cloud features

Removed outdated GPU and inference platform information and updated the hosting section for Lightning Cloud.

Author: williamFalcon

README.md

@@ -63,14 +63,8 @@ Run it locally, self host anywhere, or deploy with one click on [Lightning AI](h
 
  
 
-# Looking for GPUs and an inference platform?
-Over 340,000 developers use [Lightning Cloud](https://lightning.ai/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) - purpose-built for PyTorch and PyTorch Lightning. 
-- [GPUs](https://lightning.ai/pricing?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) from $0.19.   
-- [Clusters](https://lightning.ai/clusters?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme): frontier-grade training/inference clusters.   
-- [AI Studio (vibe train)](https://lightning.ai/studios?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme): workspaces where AI helps you debug, tune and vibe train.
-- [AI Studio (vibe deploy)](https://lightning.ai/studios?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme): workspaces where AI helps you optimize, and deploy models.     
-- [Notebooks](https://lightning.ai/notebooks?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme): Persistent GPU workspaces where AI helps you code and analyze.
-- [Inference](https://lightning.ai/deploy?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme): Deploy models as inference APIs.   
+# Want the easiest way to host inference?
+Over 380,000 developers use [Lightning Cloud](https://lightning.ai/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme), the simplest way to run LitServe without managing infrastructure. Deploy with one command, get autoscaling GPUs, monitoring, and a free tier. No cloud setup required. Or self host anywhere.
 
 # Quick start