diff --git a/docs/source/getting_started/neuron-installation.rst b/docs/source/getting_started/neuron-installation.rst
index 08165244..a9ed4d7f 100644
--- a/docs/source/getting_started/neuron-installation.rst
+++ b/docs/source/getting_started/neuron-installation.rst
@@ -3,8 +3,8 @@
 Installation with Neuron
 ========================
 
-vLLM 0.3.3 onwards supports model inferencing and serving on AWS Trainium/Inferentia with Neuron SDK.
-At the moment Paged Attention is not supported in Neuron SDK, but naive continuous batching is supported in transformers-neuronx.
+vLLM 0.3.3 onwards supports model inferencing and serving on AWS Trainium/Inferentia with Neuron SDK with continuous batching.
+Paged Attention and Chunked Prefill are currently in development and will be available soon.
 Data types currently supported in Neuron SDK are FP16 and BF16.
 
 Requirements
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 79f723ea..803d412b 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -43,7 +43,7 @@ vLLM is flexible and easy to use with:
 * Tensor parallelism and pipeline parallelism support for distributed inference
 * Streaming outputs
 * OpenAI-compatible API server
-* Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS Neuron.
+* Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS Trainium and Inferentia Accelerators.
 * Prefix caching support
 * Multi-lora support