diff --git a/engines/python/src/main/java/ai/djl/python/engine/Connection.java b/engines/python/src/main/java/ai/djl/python/engine/Connection.java
index 81bb3a155..cb89096f8 100644
--- a/engines/python/src/main/java/ai/djl/python/engine/Connection.java
+++ b/engines/python/src/main/java/ai/djl/python/engine/Connection.java
@@ -67,9 +67,9 @@ class Connection {
     private Channel channel;
     private RequestHandler requestHandler;
 
-    Connection(PyEnv pyEnv, int workerId, int rank) {
+    Connection(PyEnv pyEnv, int basePort, int rank) {
         requestHandler = new RequestHandler();
-        port = 19000 + workerId;
+        port = 19000 + basePort;
         socketAddress = getSocketAddress(pyEnv.isMpiMode(), rank);
     }
 
@@ -99,6 +99,8 @@ CompletableFuture<Output> send(Input input) throws InterruptedException {
     static String[] getPythonStartCmd(PyEnv pyEnv, Model model, int workerId, int port) {
         int tensorParallelDegree = pyEnv.getTensorParallelDegree();
         if (pyEnv.isMpiMode()) {
+            String cudaDevices = getVisibleDevices(workerId, tensorParallelDegree);
+            logger.info("Set CUDA_VISIBLE_DEVICES={}", cudaDevices);
             String[] args = new String[36];
             args[0] = "mpirun";
             args[1] = "-N";
@@ -122,7 +124,7 @@ static String[] getPythonStartCmd(PyEnv pyEnv, Model model, int workerId, int po
             args[16] = "-x";
             args[17] = "PYTHONPATH";
             args[18] = "-x";
-            args[19] = "CUDA_VISIBLE_DEVICES=" + getVisibleDevices(workerId, tensorParallelDegree);
+            args[19] = "CUDA_VISIBLE_DEVICES=" + cudaDevices;
             args[20] = "-x";
             args[21] = "MASTER_ADDR=" + MASTER_ADDR;
             args[22] = "-x";
diff --git a/engines/python/src/main/java/ai/djl/python/engine/PyProcess.java b/engines/python/src/main/java/ai/djl/python/engine/PyProcess.java
index 10f1de9b1..f9936cab3 100644
--- a/engines/python/src/main/java/ai/djl/python/engine/PyProcess.java
+++ b/engines/python/src/main/java/ai/djl/python/engine/PyProcess.java
@@ -57,15 +57,16 @@ class PyProcess {
     PyProcess(Model model, PyEnv pyEnv, int workerId) {
         this.model = model;
         this.pyEnv = pyEnv;
-        this.workerId = workerId + counter.getAndIncrement();
+        this.workerId = workerId;
+        int port = workerId + counter.getAndIncrement();
         if (pyEnv.isMpiMode()) {
             int tensorParallelDegree = pyEnv.getTensorParallelDegree();
             connections = new ArrayList<>(tensorParallelDegree);
             for (int i = 0; i < tensorParallelDegree; ++i) {
-                connections.add(new Connection(pyEnv, this.workerId, i));
+                connections.add(new Connection(pyEnv, port, i));
             }
         } else {
-            connections = Collections.singletonList(new Connection(pyEnv, this.workerId, -1));
+            connections = Collections.singletonList(new Connection(pyEnv, port, -1));
         }
         restartCount = new AtomicInteger(0);
     }