[Docs] Add CUDA graph support to docs (#2148)

docs/source/index.rst

@@ -30,6 +30,7 @@ vLLM is fast with:
 * State-of-the-art serving throughput
 * Efficient management of attention key and value memory with **PagedAttention**
 * Continuous batching of incoming requests
+* Fast model execution with CUDA/HIP graph
 * Quantization: `GPTQ <https://arxiv.org/abs/2210.17323>`_, `AWQ <https://arxiv.org/abs/2306.00978>`_, `SqueezeLLM <https://arxiv.org/abs/2306.07629>`_
 * Optimized CUDA kernels
 
@@ -40,7 +41,7 @@ vLLM is flexible and easy to use with:
 * Tensor parallelism support for distributed inference
 * Streaming outputs
 * OpenAI-compatible API server
-* Support NVIDIA GPUs and AMD GPUs.
+* Support NVIDIA GPUs and AMD GPUs
 
 For more information, check out the following: