Update README with Lightning Cloud details

Added information about Lightning Cloud services and features.

Author: williamFalcon

README.md

@@ -40,7 +40,16 @@
 
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-# Use, finetune, pretrain, and deploy LLMs Lightning fast ⚡⚡
+# Looking for GPUs?
+Over 340,000 developers use [Lightning Cloud](https://lightning.ai/?utm_source=litgpt_readme&utm_medium=referral&utm_campaign=litgpt_readme) - purpose-built for PyTorch and PyTorch Lightning. 
+- [GPUs](https://lightning.ai/pricing?utm_source=litgpt_readme&utm_medium=referral&utm_campaign=litgpt_readme) from $0.19.   
+- [Clusters](https://lightning.ai/clusters?utm_source=litgpt_readme&utm_medium=referral&utm_campaign=litgpt_readme): frontier-grade training/inference clusters.   
+- [AI Studio (vibe train)](https://lightning.ai/studios?utm_source=litgpt_readme&utm_medium=referral&utm_campaign=litgpt_readme): workspaces where AI helps you debug, tune and vibe train.
+- [AI Studio (vibe deploy)](https://lightning.ai/studios?utm_source=litgpt_readme&utm_medium=referral&utm_campaign=litgpt_readme): workspaces where AI helps you optimize, and deploy models.     
+- [Notebooks](https://lightning.ai/notebooks?utm_source=litgpt_readme&utm_medium=referral&utm_campaign=litgpt_readme): Persistent GPU workspaces where AI helps you code and analyze.
+- [Inference](https://lightning.ai/deploy?utm_source=litgpt_readme&utm_medium=referral&utm_campaign=litgpt_readme): Deploy models as inference APIs.
+
+# Finetune, pretrain, and inference LLMs Lightning fast ⚡⚡
 Every LLM is implemented from scratch with **no abstractions** and **full control**, making them blazing fast, minimal, and performant at enterprise scale.
 
 ✅ **Enterprise ready -** Apache 2.0 for unlimited enterprise use.</br>