diff --git a/app/k8sManager/multiple_clusters.py b/app/k8sManager/multiple_clusters.py
index 37cd431..a66084a 100644
--- a/app/k8sManager/multiple_clusters.py
+++ b/app/k8sManager/multiple_clusters.py
@@ -13,7 +13,7 @@ from . import ssh_utils,k8s_utils_public
 from appPublic.log import debug
 import traceback
 
-def delete_cluster_node(params):
+async def delete_cluster_node(params):
     """
     删除集群节点
     --namespace 或 -n:指定节点所在的命名空间。不过,节点是集群级别的资源,不隶属于特定的命名空间,所以此参数一般不用于删除节点。
@@ -32,7 +32,7 @@ def delete_cluster_node(params):
     """
     return "delete_cluster_node ok"
 
-def node_state_switch(params):
+async def node_state_switch(params):
     """
     恢复节点：
         kubectl uncordon 命令将节点标记为可调度状态,这样调度器就会重新考虑将新的 Pod 分配到该节点上
@@ -45,7 +45,7 @@ def node_state_switch(params):
     """
     return "node_state_switch ok"
 
-def yaml_apply_delete(params):
+async def yaml_apply_delete(params):
     """
         1. 通过cpcc传递过来的参数进行级联初始化资源实例;
         2. 通过cpcc传递过来的参数进行级联更新资源实例;
@@ -60,7 +60,7 @@ def yaml_apply_delete(params):
     elif instance_type == "LinuxOS":
         k8s_utils_linuxos_ubuntu.handle_k8s_operations(params)
 
-def node_label_opt(params):
+async def node_label_opt(params):
     """
         要设置节点 worker-node-1 上的标签 app,可以使用以下命令：
         kubectl label nodes worker-node-1 app=app,注意标签键和值之间有一个等号 (=),表示设置该标签。
@@ -106,7 +106,7 @@ def node_label_opt(params):
         else:
             raise f"{worker_node} 解绑标签 {label} 失败,请检查集群节点状态或标签是否已绑定?"
     
-def unset_node_label(params):
+async def unset_node_label(params):
     """
     要取消节点 worker-node-1 上的标签 app,可以使用以下命令：
     kubectl label nodes worker-node-1 app-，注意标签键后面有一个短横线 (-),表示取消该标签。
@@ -121,7 +121,7 @@ def unset_node_label(params):
     label = params.get("label")
     
 
-def get_cluster_nodes_by_server(params):
+async def get_cluster_nodes_by_server(params):
     host = params.get("host")
     port = int(params.get("port"))
     username = params.get("user")
@@ -137,7 +137,7 @@ def get_cluster_nodes_by_server(params):
     # debug(f'集群 {host=} 所有节点信息如下{results=} => 转换后:\n{parse_k8s_nodes_result=}')
     return parse_k8s_nodes_result
 
-def get_cluster_pods_by_kubeconfig(params):
+async def get_cluster_pods_by_kubeconfig(params):
     """
         通过调用方传递来的kubeconfig信息
         获取集群中所有资源实例(Pod)信息详情
@@ -145,7 +145,7 @@ def get_cluster_pods_by_kubeconfig(params):
     kubeconfig = params.get("kubeconfig")
     return k8s_utils_public.get_pod_info(kubeconfig)
 
-def determine_accommodat_by_kubeconfig(params):
+async def determine_accommodat_by_kubeconfig(params):
     """
         通过调用方传递来的kubeconfig信息
         判断集群中可部署哪些部件组合n
@@ -157,7 +157,7 @@ def determine_accommodat_by_kubeconfig(params):
     # debug(f'=====kubeconfig: {kubeconfig}, resources: {resources}')
     return k8s_utils_public.determine_accommodat(kubeconfig, resources)
 
-def get_cluster_nodes_by_kubeconfig(params):
+async def get_cluster_nodes_by_kubeconfig(params):
     """
         通过调用方传递来的kubeconfig信息
         获取集群中所有节点信息详情
@@ -165,7 +165,7 @@ def get_cluster_nodes_by_kubeconfig(params):
     kubeconfig = params.get("kubeconfig")
     return k8s_utils_public.get_node_info(kubeconfig)
 
-def get_cluster_pods_by_server(params):
+async def get_cluster_pods_by_server(params):
     host = params.get("host")
     port = int(params.get("port"))
     username = params.get("user")
@@ -182,7 +182,7 @@ def get_cluster_pods_by_server(params):
     # debug(f'集群 {host=} 所有Pod信息如下{results=} => 转换后:\n{parse_k8s_pods_result=}')
     return parse_k8s_pods_result
 
-def new_cluster_install(params):
+async def new_cluster_install(params):
     # 随后填充远程操控k8s主逻辑
     """
         用于接收cpcc端传递过来的k8s安装指令参数, 进行远程sshx调用操作内网机器进行集群节点的安装
@@ -206,6 +206,7 @@ def new_cluster_install(params):
             "files/storage_class.yaml":"/opt/storage_class.yaml",
             # "files/nfs-provisioner-deploy.yaml":"/opt/nfs-provisioner-deploy.yaml",
             "files/nfs-rbac.yaml": "/opt/nfs-rbac.yaml",
+            "files/config.toml": "/opt/config.toml",
             "files/nvidia-device-plugin.yml": "/opt/nvidia-device-plugin.yml",
             "files/libnvidia-container-tools_1.17.8-1_amd64.deb": "/opt/libnvidia-container-tools_1.17.8-1_amd64.deb",
             "files/libnvidia-container1_1.17.8-1_amd64.deb": "/opt/libnvidia-container1_1.17.8-1_amd64.deb",
@@ -275,7 +276,7 @@ def new_cluster_install(params):
         
     return results
 
-def get_multiple_cluster_pod():
+async def get_multiple_cluster_pod():
     """
     获取 kubeconfig 中所有集群的 Pod 信息（JSON 格式）
     
@@ -326,7 +327,7 @@ def get_multiple_cluster_pod():
     return all_clusters_pods
 
 
-def get_multiple_cluster():
+async def get_multiple_cluster():
     """
     获取所有集群的完整信息,包括用户证书、RBAC状态、服务账号颁发者等。
 
@@ -445,7 +446,7 @@ def get_multiple_cluster():
         }, indent=4)
 
 
-def process_kubeconfigs():
+async def process_kubeconfigs():
     """
     检测当前目录下的 kubestage 文件夹中的 kubeconfig 格式文件,
     计算每个文件的大写 MD5 值,将其改名成对应的 MD5 值,
diff --git a/app/pcapi.py b/app/pcapi.py
index a3fedd0..0949550 100644
--- a/app/pcapi.py
+++ b/app/pcapi.py
@@ -70,18 +70,18 @@ def init_func():
 	# g.delete_ldap_user=delete_ldap_user
 
 	### k8s多集群相关
-	g.new_cluster_install = awaitify(new_cluster_install)
-	g.get_multiple_cluster = awaitify(get_multiple_cluster)
-	g.get_multiple_cluster_pod = awaitify(get_multiple_cluster_pod)
-	g.get_cluster_nodes_by_server = awaitify(get_cluster_nodes_by_server)
-	g.get_cluster_pods_by_server = awaitify(get_cluster_pods_by_server)
-	g.delete_cluster_node = awaitify(delete_cluster_node)
-	g.node_state_switch = awaitify(node_state_switch)
-	g.yaml_apply_delete = awaitify(yaml_apply_delete)
-	g.get_cluster_nodes_by_kubeconfig = awaitify(get_cluster_nodes_by_kubeconfig)
-	g.determine_accommodat_by_kubeconfig = awaitify(determine_accommodat_by_kubeconfig)
-	g.get_cluster_pods_by_kubeconfig = awaitify(get_cluster_pods_by_kubeconfig)
-	g.node_label_opt = awaitify(node_label_opt)
+	g.new_cluster_install = new_cluster_install
+	g.get_multiple_cluster = get_multiple_cluster
+	g.get_multiple_cluster_pod = get_multiple_cluster_pod
+	g.get_cluster_nodes_by_server = get_cluster_nodes_by_server
+	g.get_cluster_pods_by_server = get_cluster_pods_by_server
+	g.delete_cluster_node = delete_cluster_node
+	g.node_state_switch = node_state_switch
+	g.yaml_apply_delete = yaml_apply_delete
+	g.get_cluster_nodes_by_kubeconfig = get_cluster_nodes_by_kubeconfig
+	g.determine_accommodat_by_kubeconfig = determine_accommodat_by_kubeconfig
+	g.get_cluster_pods_by_kubeconfig = get_cluster_pods_by_kubeconfig
+	g.node_label_opt = node_label_opt
 
 	g.get_storage_json=get_storage_json
 	g.result_dict={
diff --git a/files/config.toml b/files/config.toml
new file mode 100644
index 0000000..dc942bf
--- /dev/null
+++ b/files/config.toml
@@ -0,0 +1,297 @@
+disabled_plugins = []
+imports = []
+oom_score = 0
+plugin_dir = ""
+required_plugins = []
+root = "/var/lib/containerd"
+state = "/run/containerd"
+temp = ""
+version = 2
+
+[cgroup]
+  path = ""
+
+[debug]
+  address = ""
+  format = ""
+  gid = 0
+  level = ""
+  uid = 0
+
+[grpc]
+  address = "/run/containerd/containerd.sock"
+  gid = 0
+  max_recv_message_size = 16777216
+  max_send_message_size = 16777216
+  tcp_address = ""
+  tcp_tls_ca = ""
+  tcp_tls_cert = ""
+  tcp_tls_key = ""
+  uid = 0
+
+[metrics]
+  address = ""
+  grpc_histogram = false
+
+[plugins]
+
+  [plugins."io.containerd.gc.v1.scheduler"]
+    deletion_threshold = 0
+    mutation_threshold = 100
+    pause_threshold = 0.02
+    schedule_delay = "0s"
+    startup_delay = "100ms"
+
+  [plugins."io.containerd.grpc.v1.cri"]
+    cdi_spec_dirs = ["/etc/cdi", "/var/run/cdi"]
+    device_ownership_from_security_context = false
+    disable_apparmor = false
+    disable_cgroup = false
+    disable_hugetlb_controller = true
+    disable_proc_mount = false
+    disable_tcp_service = true
+    drain_exec_sync_io_timeout = "0s"
+    enable_cdi = false
+    enable_selinux = false
+    enable_tls_streaming = false
+    enable_unprivileged_icmp = false
+    enable_unprivileged_ports = false
+    ignore_deprecation_warnings = []
+    ignore_image_defined_volumes = false
+    image_pull_progress_timeout = "5m0s"
+    image_pull_with_sync_fs = false
+    max_concurrent_downloads = 3
+    max_container_log_line_size = 16384
+    netns_mounts_under_state_dir = false
+    restrict_oom_score_adj = false
+    sandbox_image = "registry.aliyuncs.com/google_containers/pause:3.9"
+    selinux_category_range = 1024
+    stats_collect_period = 10
+    stream_idle_timeout = "4h0m0s"
+    stream_server_address = "127.0.0.1"
+    stream_server_port = "0"
+    systemd_cgroup = false
+    tolerate_missing_hugetlb_controller = true
+    unset_seccomp_profile = ""
+
+    [plugins."io.containerd.grpc.v1.cri".cni]
+      bin_dir = "/opt/cni/bin"
+      conf_dir = "/etc/cni/net.d"
+      conf_template = ""
+      ip_pref = ""
+      max_conf_num = 1
+      setup_serially = false
+
+    [plugins."io.containerd.grpc.v1.cri".containerd]
+      default_runtime_name = "nvidia"
+      disable_snapshot_annotations = true
+      discard_unpacked_layers = false
+      ignore_blockio_not_enabled_errors = false
+      ignore_rdt_not_enabled_errors = false
+      no_pivot = false
+      snapshotter = "overlayfs"
+
+      [plugins."io.containerd.grpc.v1.cri".containerd.default_runtime]
+        base_runtime_spec = ""
+        cni_conf_dir = ""
+        cni_max_conf_num = 0
+        container_annotations = []
+        pod_annotations = []
+        privileged_without_host_devices = false
+        privileged_without_host_devices_all_devices_allowed = false
+        runtime_engine = ""
+        runtime_path = ""
+        runtime_root = ""
+        runtime_type = ""
+        sandbox_mode = ""
+        snapshotter = ""
+
+        [plugins."io.containerd.grpc.v1.cri".containerd.default_runtime.options]
+
+      [plugins."io.containerd.grpc.v1.cri".containerd.runtimes]
+
+        [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia]
+          runtime_type = "io.containerd.runc.v2"
+          privileged_without_host_devices = false
+          [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia.options]
+            BinaryName = "/usr/bin/nvidia-container-runtime"
+
+        [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc]
+          base_runtime_spec = ""
+          cni_conf_dir = ""
+          cni_max_conf_num = 0
+          container_annotations = []
+          pod_annotations = []
+          privileged_without_host_devices = false
+          privileged_without_host_devices_all_devices_allowed = false
+          runtime_engine = ""
+          runtime_path = ""
+          runtime_root = ""
+          runtime_type = "io.containerd.runc.v2"
+          sandbox_mode = "podsandbox"
+          snapshotter = ""
+
+          [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc.options]
+            BinaryName = ""
+            CriuImagePath = ""
+            CriuPath = ""
+            CriuWorkPath = ""
+            IoGid = 0
+            IoUid = 0
+            NoNewKeyring = false
+            NoPivotRoot = false
+            Root = ""
+            ShimCgroup = ""
+            SystemdCgroup = true
+
+      [plugins."io.containerd.grpc.v1.cri".containerd.untrusted_workload_runtime]
+        base_runtime_spec = ""
+        cni_conf_dir = ""
+        cni_max_conf_num = 0
+        container_annotations = []
+        pod_annotations = []
+        privileged_without_host_devices = false
+        privileged_without_host_devices_all_devices_allowed = false
+        runtime_engine = ""
+        runtime_path = ""
+        runtime_root = ""
+        runtime_type = ""
+        sandbox_mode = ""
+        snapshotter = ""
+
+        [plugins."io.containerd.grpc.v1.cri".containerd.untrusted_workload_runtime.options]
+
+    [plugins."io.containerd.grpc.v1.cri".image_decryption]
+      key_model = "node"
+
+    [plugins."io.containerd.grpc.v1.cri".registry]
+      config_path = ""
+
+      [plugins."io.containerd.grpc.v1.cri".registry.auths]
+
+      [plugins."io.containerd.grpc.v1.cri".registry.configs]
+
+      [plugins."io.containerd.grpc.v1.cri".registry.headers]
+
+      [plugins."io.containerd.grpc.v1.cri".registry.mirrors]
+
+    [plugins."io.containerd.grpc.v1.cri".x509_key_pair_streaming]
+      tls_cert_file = ""
+      tls_key_file = ""
+
+  [plugins."io.containerd.internal.v1.opt"]
+    path = "/opt/containerd"
+
+  [plugins."io.containerd.internal.v1.restart"]
+    interval = "10s"
+
+  [plugins."io.containerd.internal.v1.tracing"]
+
+  [plugins."io.containerd.metadata.v1.bolt"]
+    content_sharing_policy = "shared"
+
+  [plugins."io.containerd.monitor.v1.cgroups"]
+    no_prometheus = false
+
+  [plugins."io.containerd.nri.v1.nri"]
+    disable = true
+    disable_connections = false
+    plugin_config_path = "/etc/nri/conf.d"
+    plugin_path = "/opt/nri/plugins"
+    plugin_registration_timeout = "5s"
+    plugin_request_timeout = "2s"
+    socket_path = "/var/run/nri/nri.sock"
+
+  [plugins."io.containerd.runtime.v1.linux"]
+    no_shim = false
+    runtime = "runc"
+    runtime_root = ""
+    shim = "containerd-shim"
+    shim_debug = false
+
+  [plugins."io.containerd.runtime.v2.task"]
+    platforms = ["linux/amd64"]
+    sched_core = false
+
+  [plugins."io.containerd.service.v1.diff-service"]
+    default = ["walking"]
+
+  [plugins."io.containerd.service.v1.tasks-service"]
+    blockio_config_file = ""
+    rdt_config_file = ""
+
+  [plugins."io.containerd.snapshotter.v1.aufs"]
+    root_path = ""
+
+  [plugins."io.containerd.snapshotter.v1.blockfile"]
+    fs_type = ""
+    mount_options = []
+    root_path = ""
+    scratch_file = ""
+
+  [plugins."io.containerd.snapshotter.v1.btrfs"]
+    root_path = ""
+
+  [plugins."io.containerd.snapshotter.v1.devmapper"]
+    async_remove = false
+    base_image_size = ""
+    discard_blocks = false
+    fs_options = ""
+    fs_type = ""
+    pool_name = ""
+    root_path = ""
+
+  [plugins."io.containerd.snapshotter.v1.native"]
+    root_path = ""
+
+  [plugins."io.containerd.snapshotter.v1.overlayfs"]
+    mount_options = []
+    root_path = ""
+    sync_remove = false
+    upperdir_label = false
+
+  [plugins."io.containerd.snapshotter.v1.zfs"]
+    root_path = ""
+
+  [plugins."io.containerd.tracing.processor.v1.otlp"]
+
+  [plugins."io.containerd.transfer.v1.local"]
+    config_path = ""
+    max_concurrent_downloads = 3
+    max_concurrent_uploaded_layers = 3
+
+    [[plugins."io.containerd.transfer.v1.local".unpack_config]]
+      differ = ""
+      platform = "linux/amd64"
+      snapshotter = "overlayfs"
+
+[proxy_plugins]
+
+[stream_processors]
+
+  [stream_processors."io.containerd.ocicrypt.decoder.v1.tar"]
+    accepts = ["application/vnd.oci.image.layer.v1.tar+encrypted"]
+    args = ["--decryption-keys-path", "/etc/containerd/ocicrypt/keys"]
+    env = ["OCICRYPT_KEYPROVIDER_CONFIG=/etc/containerd/ocicrypt/ocicrypt_keyprovider.conf"]
+    path = "ctd-decoder"
+    returns = "application/vnd.oci.image.layer.v1.tar"
+
+  [stream_processors."io.containerd.ocicrypt.decoder.v1.tar.gzip"]
+    accepts = ["application/vnd.oci.image.layer.v1.tar+gzip+encrypted"]
+    args = ["--decryption-keys-path", "/etc/containerd/ocicrypt/keys"]
+    env = ["OCICRYPT_KEYPROVIDER_CONFIG=/etc/containerd/ocicrypt/ocicrypt_keyprovider.conf"]
+    path = "ctd-decoder"
+    returns = "application/vnd.oci.image.layer.v1.tar+gzip"
+
+[timeouts]
+  "io.containerd.timeout.bolt.open" = "0s"
+  "io.containerd.timeout.metrics.shimstats" = "2s"
+  "io.containerd.timeout.shim.cleanup" = "5s"
+  "io.containerd.timeout.shim.load" = "5s"
+  "io.containerd.timeout.shim.shutdown" = "3s"
+  "io.containerd.timeout.task.state" = "2s"
+
+[ttrpc]
+  address = ""
+  gid = 0
+  uid = 0
diff --git a/script/k8s_install.sh b/script/k8s_install.sh
index d4a252b..7ef7cbc 100644
--- a/script/k8s_install.sh
+++ b/script/k8s_install.sh
@@ -315,36 +315,45 @@ if lspci | grep -i nvidia > /dev/null 2>&1; then
         log_info "检测到NVIDIA GPU,开始配置nvidia-container-runtime..."
 
         # 检查 .deb 文件是否存在
-        if [ ! "$(ls /opt/*.deb 2>/dev/null | wc -l)" -ge 1 ]; then
-          log_error "/opt/ 下没有 .deb 文件"
-          exit 1
+        DEB_FILES=(/opt/*_amd64.deb)
+        if [ ! -e "${DEB_FILES[0]}" ]; then
+            log_error "/opt/ 下没有 .deb 文件"
+            exit 1
         fi
 
         # 安装 .deb 包
-        for deb in /opt/*_amd64.deb; do
-          dpkg -i "$deb" || log_error "安装 $deb 失败"
+        for deb in "${DEB_FILES[@]}"; do
+            dpkg -i "$deb" || {
+                log_error "安装 $deb 失败"
+                exit 1
+            }
         done
 
         # 配置 containerd
         CONTAINERD_CONFIG="/etc/containerd/config.toml"
         log_info "正在更新 $CONTAINERD_CONFIG 配置..."
 
-        # 1. 添加 nvidia 运行时配置（插入到 runtimes 块内部）
-        if ! grep -qF '[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia]' "$CONTAINERD_CONFIG"; then
-            # 在 runtimes 块下插入 nvidia 配置（保持格式缩进）
-            sed -i '/\[plugins."io.containerd.grpc.v1.cri".containerd.runtimes\]/a \
-        [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia]
-          privileged_without_host_devices = false
-          runtime_type = "io.containerd.runc.v2"
-          [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia.options]
-            BinaryName = "/usr/bin/nvidia-container-runtime"
-' "$CONTAINERD_CONFIG"
-        fi
+        # 1. 添加 nvidia 运行时配置到 runtimes 块内部
+        # 添加 nvidia runtime 配置到 runtimes 块下
+        NVIDIA_SECTION='plugins\."io\.containerd\.grpc\.v1\.cri"\.containerd\.runtimes\.nvidia'
+#         if ! grep -qF "[${NVIDIA_SECTION}]" "$CONTAINERD_CONFIG"; then
+#             sudo sed -i '/^
+# $$
+# plugins\."io\.containerd\.grpc\.v1\.cri"\.containerd\.runtimes
+# $$
+# $/a \
+#     [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia]\n\
+#         privileged_without_host_devices = false\n\
+#         runtime_type = "io.containerd.runc.v2"\n\
+#         [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia.options]\n\
+#             BinaryName = "/usr/bin/nvidia-container-runtime"' /etc/containerd/config.toml
+#         fi
 
-        # 2. 修改默认运行时为 nvidia（正确匹配配置项）
-        if ! grep -qF 'default_runtime_name = "nvidia"' "$CONTAINERD_CONFIG"; then
-            sed -i '/default_runtime_name = "runc"/s/"runc"/"nvidia"/' "$CONTAINERD_CONFIG"
-        fi
+#         # 2. 修改默认运行时为 nvidia
+#         if ! grep -qF 'default_runtime_name = "nvidia"' "$CONTAINERD_CONFIG"; then
+#             sudo sed -i 's/default_runtime_name = "runc"/default_runtime_name = "nvidia"/' "$CONTAINERD_CONFIG"
+#         fi
+        cp -v /opt/config.toml /etc/containerd/config.toml || log_error "直接复制containerd配置文件失败"
 
         # 3. 重启 containerd 并检查状态
         log_info "重启 containerd 服务..."
@@ -359,6 +368,7 @@ if lspci | grep -i nvidia > /dev/null 2>&1; then
         log_info "配置 CUDA 环境变量..."
         grep -qxF 'export PATH=/usr/local/cuda/bin:$PATH' ~/.bashrc || echo 'export PATH=/usr/local/cuda/bin:$PATH' >> ~/.bashrc
         grep -qxF 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH' ~/.bashrc || echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
+
         # 应用环境变量（非交互式shell提示手动执行）
         if [[ "$-" == *i* ]]; then
             source ~/.bashrc