Add links for ML HW

Co-authored-by: Mihir Patel <[email protected]>

README.md

@@ -77,6 +77,9 @@ Tutorial videos from the community:
 Something missing? Contribute with a PR!
 
 # Latest News
+* [Blog: LLM Training and Inference with Intel Gaudi2 AI Accelerators](https://www.databricks.com/blog/llm-training-and-inference-intel-gaudi2-ai-accelerators)
+* [Blog: Training LLMs at Scale with AMD MI250 GPUs](https://www.databricks.com/blog/training-llms-scale-amd-mi250-gpus)
+* [Blog: Training LLMs with AMD MI250 GPUs and MosaicML](https://www.mosaicml.com/blog/amd-mi250)
 * [Blog: Announcing MPT-7B-8K: 8K Context Length for Document Understanding](https://www.mosaicml.com/blog/long-context-mpt-7b-8k)
 * [Blog: Training LLMs with AMD MI250 GPUs and MosaicML](https://www.mosaicml.com/blog/amd-mi250)
 * [Blog: MPT-30B: Raising the bar for open-source foundation models](https://www.mosaicml.com/blog/mpt-30b)
@@ -186,6 +189,12 @@ Notes:
 1. `attn_impl: triton` does not work.
 1. We don't yet have a Docker image where everything works perfectly. You might need to up/downgrade some packages (in our case, we needed to downgrade to `numpy==1.23.5`) before everything works without issue.
 
+### Intel Gaudi
+Support for LLM Foundry on Intel Gaudi devices is experimental, please use the branch `habana_alpha` and see the [README on that branch](https://github.com/mosaicml/llm-foundry/blob/habana_alpha) which has [install instructions and known issues.](https://github.com/mosaicml/llm-foundry/tree/habana_alpha?tab=readme-ov-file#intel-gaudi)
+
+For training and inference performance results on Intel Gaudi2 accelerators, see our blog: https://www.databricks.com/blog/llm-training-and-inference-intel-gaudi2-ai-accelerators
+
+
 # Quickstart
 
 > **Note**