diff --git a/README.md b/README.md
index 238a0c958..ce822e12b 100644
--- a/README.md
+++ b/README.md
@@ -40,6 +40,7 @@ length of 512 tokens:
     - [Distributed Tracing](#distributed-tracing)
     - [gRPC](#grpc)
 - [Local Install](#local-install)
+    - [Apple Silicon (Homebrew)](#apple-silicon-homebrew)
 - [Docker Build](#docker-build)
     - [Apple M1/M2 Arm](#apple-m1m2-arm64-architectures)
 - [Examples](#examples)
@@ -492,6 +493,22 @@ grpcurl -d '{"inputs": "What is Deep Learning"}' -plaintext 0.0.0.0:8080 tei.v1.
 
 ## Local install
 
+### Apple Silicon (Homebrew)
+
+On Apple Silicon (M1/M2/M3/M4), you can install a prebuilt binary via Homebrew:
+
+```shell
+brew install text-embeddings-inference
+```
+
+Then launch Text Embeddings Inference with Metal acceleration:
+
+```shell
+model=Qwen/Qwen3-Embedding-0.6B
+
+text-embeddings-router --model-id $model --port 8080
+```
+
 ### CPU
 
 You can also opt to install `text-embeddings-inference` locally.
diff --git a/docs/source/en/local_metal.md b/docs/source/en/local_metal.md
index b9e110b26..ce7316c53 100644
--- a/docs/source/en/local_metal.md
+++ b/docs/source/en/local_metal.md
@@ -17,7 +17,26 @@ rendered properly in your Markdown viewer.
 # Using TEI locally with Metal
 
 You can install `text-embeddings-inference` locally to run it on your own Mac with Metal support.
-Here are the step-by-step instructions for installation:
+
+## Homebrew (Apple Silicon)
+
+On Apple Silicon (M1/M2/M3/M4), you can install a prebuilt binary via Homebrew:
+
+```shell
+brew install text-embeddings-inference
+```
+
+Then launch Text Embeddings Inference:
+
+```shell
+model=Qwen/Qwen3-Embedding-0.6B
+
+text-embeddings-router --model-id $model --port 8080
+```
+
+## Build from source
+
+Alternatively, you can build from source. Here are the step-by-step instructions:
 
 ## Step 1: Install Rust