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The available node flavors will then be displayed in the Specifications area for you to choose from. Elastic Cloud Server (VM) Node Specifications (vary depending on the actual region) Select a node flavor that best fits your service needs.
Node pools, VMs, and Kunpeng clusters can be created. BMS nodes can be created in a CCE cluster (when the VPC network model is used), and hybrid deployment of BMSs and VMs is supported. Support for GPU V100.
Node pools, VMs, and Kunpeng clusters can be created. BMS nodes can be created in a CCE cluster (when the VPC network model is used), and hybrid deployment of BMSs and VMs is supported. Support for GPU V100 is provided.
It is the control center of the entire system. prometheus (server): a Prometheus Server cluster deployed by the operator based on the Prometheus CRDs that can be regarded as StatefulSets. prometheus-kube-state-metrics: converts the Prometheus metric data into a format that can be
Cluster Overview Cloud Container Engine (CCE) is a Kubernetes cluster hosting service for enterprises. It manages the entire lifecycle of containerized applications and delivers scalable, high-performance solutions for deploying and managing cloud native applications.
BMS nodes can be created in a CCE cluster (when the tunnel network model is used). Ascend-accelerated nodes (powered by HiSilicon Ascend 310 AI processors) apply to scenarios such as image recognition, video processing, inference computing, and machine learning.
BMS nodes can be created in a CCE cluster (when the tunnel network model is used). Ascend-accelerated nodes (powered by HiSilicon Ascend 310 AI processors) apply to scenarios such as image recognition, video processing, inference computing, and machine learning.
Figure 12 Selecting observability add-ons Table 12 Observability add-ons Add-on Description Cloud Native Cluster Monitoring (Optional) After you select this add-on, CCE will automatically install it.
Locate the row that contains the security group (starting with {CCE cluster name}-cce-control) of the master node and click Manage Rules in the Operation column.
Master Node AZs You can check how many master nodes are supported in a cluster. To check data such as the resource usage of the master nodes, click View Monitoring in the upper right corner to go to Monitoring Center.
# java -version openjdk version "1.8.0_382" OpenJDK Runtime Environment (build 1.8.0_382-b05) OpenJDK 64-Bit Server VM (build 25.382-b05, mixed mode) Add environment variables.
Number of master nodes: For example, a non-HA cluster (with one master node) cannot be changed to an HA cluster (with three master nodes).
Scheduling Policy (Affinity/Anti-affinity) Negative example: For application A, nodes 1 and 2 are set as affinity nodes, and nodes 3 and 4 are set as anti-affinity nodes. Application A exposes a Service through the ELB, and the ELB listens to node 1 and node 2.
Table 2 Supported GPU drivers GPU Model Supported Cluster Type Specification OS Huawei Cloud EulerOS 2.0 (GPU Virtualization Supported) Ubuntu 22.04 CentOS Linux release 7.6 EulerOS release 2.9 EulerOS release 2.5 Ubuntu 18.04 (EOM) EulerOS release 2.3 (EOM) Tesla T4 CCE Turbo cluster
Support for Kubernetes pods (a group of containers). Cross-AZ deployment of master nodes. Automatic bare-metal server deployment. Support for SFS Turbo. 2018-10-18 Changes: Kubernetes resource quota management. Users can create Services using YAML files.
Modifying parameters of core components (such as etcd, kube-apiserver, and Docker) The master node may be unavailable. Restore the parameter settings to the recommended values. For details, see Modifying Cluster Configurations.
With Kubeflow 1.0, you first develop a model using Jupyter, and then set up containers using tools such as Fairing (SDK). Next, you create Kubernetes resources to train the model. After the training is complete, you create and deploy servers for inference using KFServing.
Build() client := cce.NewCceClient( cce.CceClientBuilder(). WithRegion(region.ValueOf("<YOUR REGION>")). WithCredential(auth).
Range cce.s1.small: a small-scale CCE cluster with one control plane node and a maximum of 50 worker nodes cce.s1.medium: a medium-scale CCE cluster with one control plane node and a maximum of 200 worker nodes cce.s2.small: a small-scale CCE cluster with three control plane nodes
Parameters Residual Package Version Data Node Commands Node Swap NGINX Ingress Controller Upgrade of Cloud Native Cluster Monitoring containerd Pod Restart Risks Key CCE AI Suite (NVIDIA GPU) Parameters GPU or NPU Pod Rebuild Risks ELB Listener Access Control Subnet Quota of Master
