Update triton-inference-server.md (#17252)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

docs/en/guides/triton-inference-server.md

@@ -83,25 +83,34 @@ The Triton Model Repository is a storage location where Triton can access and lo
 
     # (Optional) Enable TensorRT for GPU inference
     # First run will be slow due to TensorRT engine conversion
-    import json
-
-    data = {
-        "optimization": {
-            "execution_accelerators": {
-                "gpu_execution_accelerator": [
-                    {
-                        "name": "tensorrt",
-                        "parameters": {"key": "precision_mode", "value": "FP16"},
-                        "parameters": {"key": "max_workspace_size_bytes", "value": "3221225472"},
-                        "parameters": {"key": "trt_engine_cache_enable", "value": "1"},
-                    }
-                ]
-            }
+    data = """
+    optimization {
+      execution_accelerators {
+        gpu_execution_accelerator {
+          name: "tensorrt"
+          parameters {
+            key: "precision_mode"
+            value: "FP16"
+          }
+          parameters {
+            key: "max_workspace_size_bytes"
+            value: "3221225472"
+          }
+          parameters {
+            key: "trt_engine_cache_enable"
+            value: "1"
+          }
+          parameters {
+            key: "trt_engine_cache_path"
+            value: "/models/yolo/1"
+          }
         }
+      }
     }
+    """
 
     with open(triton_model_path / "config.pbtxt", "w") as f:
-        json.dump(data, f, indent=4)
+        f.write(data)
     ```
 
 ## Running Triton Inference Server
@@ -124,7 +133,7 @@ subprocess.call(f"docker pull {tag}", shell=True)
 # Run the Triton server and capture the container ID
 container_id = (
     subprocess.check_output(
-        f"docker run -d --rm -v {triton_repo_path}:/models -p 8000:8000 {tag} tritonserver --model-repository=/models",
+        f"docker run -d --rm --gpus 0 -v {triton_repo_path}:/models -p 8000:8000 {tag} tritonserver --model-repository=/models",
         shell=True,
     )
     .decode("utf-8")
@@ -215,7 +224,7 @@ Setting up [Ultralytics YOLO11](https://docs.ultralytics.com/models/yolov8/) wit
 
     container_id = (
         subprocess.check_output(
-            f"docker run -d --rm -v {triton_repo_path}/models -p 8000:8000 {tag} tritonserver --model-repository=/models",
+            f"docker run -d --rm --gpus 0 -v {triton_repo_path}/models -p 8000:8000 {tag} tritonserver --model-repository=/models",
             shell=True,
         )
         .decode("utf-8")