diff --git a/docs/configuration.md b/docs/configuration.md
index 77bf13265..10963a95b 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -172,7 +172,7 @@ Most of those properties are designed for performance tuning. Adjusting those nu
 * enable_envvars_config: Enable configuring MMS through environment variables. When this option is set to "true", all the static configurations of MMS can come through environment variables as well. default: false
 * number_of_netty_threads: number frontend netty thread, default: number of logical processors available to the JVM.
 * netty_client_threads: number of backend netty thread, default: number of logical processors available to the JVM.
-* default_workers_per_model: number of workers to create for each model that loaded at startup time, default: available GPUs in system or number of logical processors available to the JVM.
+* default_workers_per_model: number of workers to create for each model that loaded at startup time, default: available GPUs in system, available Neuron cores in system, or number of logical processors available to the JVM.
 * job_queue_size: number inference jobs that frontend will queue before backend can serve, default 100. Useful in cases where certain requests take predictably longer to complete.
 * async_logging: enable asynchronous logging for higher throughput, log output may be delayed if this is enabled, default: false.
 * default_response_timeout: Timeout, in seconds, used for model's backend workers before they are deemed unresponsive and rebooted. default: 120 seconds.
diff --git a/frontend/server/src/main/java/com/amazonaws/ml/mms/util/ConfigManager.java b/frontend/server/src/main/java/com/amazonaws/ml/mms/util/ConfigManager.java
index ad09e2e0e..9b445128a 100644
--- a/frontend/server/src/main/java/com/amazonaws/ml/mms/util/ConfigManager.java
+++ b/frontend/server/src/main/java/com/amazonaws/ml/mms/util/ConfigManager.java
@@ -12,6 +12,7 @@
  */
 package com.amazonaws.ml.mms.util;
 
+import com.google.gson.annotations.SerializedName;
 import io.netty.handler.ssl.SslContext;
 import io.netty.handler.ssl.SslContextBuilder;
 import io.netty.handler.ssl.util.SelfSignedCertificate;
@@ -19,6 +20,8 @@
 import java.io.FileInputStream;
 import java.io.IOException;
 import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.io.Reader;
 import java.lang.reflect.Field;
 import java.net.InetAddress;
 import java.net.UnknownHostException;
@@ -67,6 +70,7 @@ public final class ConfigManager {
     private static final String MMS_NETTY_CLIENT_THREADS = "netty_client_threads";
     private static final String MMS_JOB_QUEUE_SIZE = "job_queue_size";
     private static final String MMS_NUMBER_OF_GPU = "number_of_gpu";
+    private static final String MMS_NUMBER_OF_NEURON_CORES = "number_of_neuron_cores";
     private static final String MMS_ASYNC_LOGGING = "async_logging";
     private static final String MMS_CORS_ALLOWED_ORIGIN = "cors_allowed_origin";
     private static final String MMS_CORS_ALLOWED_METHODS = "cors_allowed_methods";
@@ -143,6 +147,13 @@ private ConfigManager(Arguments args) {
                                 getAvailableGpu(),
                                 getIntProperty(MMS_NUMBER_OF_GPU, Integer.MAX_VALUE))));
 
+        prop.setProperty(
+                MMS_NUMBER_OF_NEURON_CORES,
+                String.valueOf(
+                        Integer.min(
+                                getAvailableNeuronCores(),
+                                getIntProperty(MMS_NUMBER_OF_NEURON_CORES, Integer.MAX_VALUE))));
+
         String pythonExecutable = args.getPythonExecutable();
         if (pythonExecutable != null) {
             prop.setProperty("PYTHON_EXECUTABLE", pythonExecutable);
@@ -258,6 +269,10 @@ public int getNumberOfGpu() {
         return getIntProperty(MMS_NUMBER_OF_GPU, 0);
     }
 
+    public int getNumberOfNeuronCores() {
+        return getIntProperty(MMS_NUMBER_OF_NEURON_CORES, 0);
+    }
+
     public String getMmsDefaultServiceHandler() {
         return getProperty(MMS_DEFAULT_SERVICE_HANDLER, null);
     }
@@ -283,6 +298,9 @@ public int getDefaultWorkers() {
         if (workers == 0) {
             workers = getNumberOfGpu();
         }
+        if (workers == 0) {
+            workers = getNumberOfNeuronCores();
+        }
         if (workers == 0) {
             workers = Runtime.getRuntime().availableProcessors();
         }
@@ -453,6 +471,8 @@ public String dumpConfigurations() {
                 + System.getProperty("java.io.tmpdir")
                 + "\nNumber of GPUs: "
                 + getNumberOfGpu()
+                + "\nNumber of Neuron Cores: "
+                + getNumberOfNeuronCores()
                 + "\nNumber of CPUs: "
                 + runtime.availableProcessors()
                 + "\nMax heap size: "
@@ -587,6 +607,26 @@ private static int getAvailableGpu() {
         }
     }
 
+    private static int getAvailableNeuronCores() {
+        try {
+            Process process = Runtime.getRuntime().exec("neuron-ls --json-output");
+            int ret = process.waitFor();
+            if (ret != 0) {
+                return 0;
+            }
+            Reader reader = new InputStreamReader(process.getInputStream(), StandardCharsets.UTF_8);
+            NeuronConfig[] results = JsonUtils.GSON.fromJson(reader, NeuronConfig[].class);
+            return Arrays.stream(results).mapToInt(c -> c.numNeuronCores).sum();
+        } catch (IOException | InterruptedException e) {
+            return 0;
+        }
+    }
+
+    private static final class NeuronConfig {
+        @SerializedName("nc_count")
+        int numNeuronCores;
+    }
+
     public static final class Arguments {
 
         private String mmsConfigFile;