diff --git a/README.md b/README.md
index 92a3344..6a90e0e 100644
--- a/README.md
+++ b/README.md
@@ -29,6 +29,10 @@ docker compose exec serge python3 /usr/src/app/api/utils/download.py tokenizer 7
 Make sure you have docker desktop installed, WSL2 configured and enough free RAM to run models. (see below)
 
 
+#### Kubernetes
+
+Setting up Serge on Kubernetes can be found in the wiki: https://github.com/nsarrazin/serge/wiki/Integrating-Serge-in-your-orchestration#kubernetes-example
+
 ### Using serge
 
 (You can pass `7B 13B 30B` as an argument to the `download.py` script to download multiple models.)
diff --git a/deploy.sh b/deploy.sh
index 23862a8..eb71ddc 100644
--- a/deploy.sh
+++ b/deploy.sh
@@ -6,7 +6,7 @@ mongod &
 cd web && npm run dev -- --host 0.0.0.0 --port 8008 &
   
 # Start the API
-cd api && uvicorn main:app --port 9124 --root-path /api/ &
+cd api && uvicorn main:app --host 0.0.0.0 --port 9124 --root-path /api/ &
 
 # Wait for any process to exit
 wait -n
diff --git a/web/vite.config.ts b/web/vite.config.ts
index 20ef402..2dd8bb6 100644
--- a/web/vite.config.ts
+++ b/web/vite.config.ts
@@ -6,7 +6,7 @@ export default defineConfig({
   server: {
     proxy: {
       "/api": {
-        target: "http://localhost:9124/",
+        target: "http://serge:9124/",
         changeOrigin: true,
         secure: false,
         rewrite: (path) => path.replace(/^\/api/u, ""),