หน้านี้ยังไม่พร้อมใช้งานในภาษาท้องถิ่นของคุณ เรากำลังพยายามอย่างหนักเพื่อเพิ่มเวอร์ชันภาษาอื่น ๆ เพิ่มเติม ขอบคุณสำหรับการสนับสนุนเสมอมา

GaussDB(DWS)
GaussDB(DWS)

    All results for "" in this service

    Compute
    Elastic Cloud Server
    Huawei Cloud Flexus
    Bare Metal Server
    Auto Scaling
    Image Management Service
    Dedicated Host
    FunctionGraph
    Cloud Phone Host
    Huawei Cloud EulerOS
    Management & Governance
    Cloud Eye
    Identity and Access Management
    Cloud Trace Service
    Resource Formation Service
    Tag Management Service
    Log Tank Service
    Config
    OneAccess
    Resource Access Manager
    Simple Message Notification
    Application Performance Management
    Application Operations Management
    Organizations
    Optimization Advisor
    IAM Identity Center
    Cloud Operations Center
    Resource Governance Center
    Cloud Ecosystem
    KooGallery
    Partner Center
    Analytics
    MapReduce Service
    Data Lake Insight
    CloudTable Service
    Cloud Search Service
    Data Lake Visualization
    Data Ingestion Service
    GaussDB(DWS)
    DataArts Studio
    Data Lake Factory
    DataArts Lake Formation
    Others
    Product Pricing Details
    System Permissions
    Console Quick Start
    Common FAQs
    Instructions for Associating with a HUAWEI CLOUD Partner
    Message Center
    Blockchain
    Blockchain Service
    Web3 Node Engine Service
    Storage
    Object Storage Service
    Elastic Volume Service
    Cloud Backup and Recovery
    Storage Disaster Recovery Service
    Scalable File Service Turbo
    Scalable File Service
    Volume Backup Service
    Cloud Server Backup Service
    Data Express Service
    Dedicated Distributed Storage Service
    Databases
    Relational Database Service
    Document Database Service
    Data Admin Service
    Data Replication Service
    GeminiDB
    GaussDB
    Distributed Database Middleware
    Database and Application Migration UGO
    TaurusDB
    Dedicated Cloud
    Dedicated Computing Cluster
    AI
    Face Recognition Service
    Graph Engine Service
    Content Moderation
    Image Recognition
    Optical Character Recognition
    ModelArts
    ImageSearch
    Conversational Bot Service
    Speech Interaction Service
    Huawei HiLens
    Video Intelligent Analysis Service
    Content Delivery & Edge Computing
    Content Delivery Network
    Intelligent EdgeFabric
    CloudPond
    Intelligent EdgeCloud
    Developer Services
    ServiceStage
    CodeArts
    CodeArts PerfTest
    CodeArts Req
    CodeArts Pipeline
    CodeArts Build
    CodeArts Deploy
    CodeArts Artifact
    CodeArts TestPlan
    CodeArts Check
    CodeArts Repo
    Cloud Application Engine
    Networking
    Virtual Private Cloud
    Elastic IP
    Elastic Load Balance
    NAT Gateway
    Direct Connect
    Virtual Private Network
    VPC Endpoint
    Cloud Connect
    Enterprise Router
    Enterprise Switch
    Global Accelerator
    Migration
    Server Migration Service
    Object Storage Migration Service
    Cloud Data Migration
    Migration Center
    User Support
    My Account
    Billing Center
    Cost Center
    Resource Center
    Enterprise Management
    Service Tickets
    HUAWEI CLOUD (International) FAQs
    ICP Filing
    Support Plans
    My Credentials
    Customer Operation Capabilities
    Partner Support Plans
    Professional Services
    IoT
    IoT Device Access
    Security & Compliance
    Security Technologies and Applications
    Web Application Firewall
    Host Security Service
    Cloud Firewall
    SecMaster
    Anti-DDoS Service
    Data Encryption Workshop
    Database Security Service
    Cloud Bastion Host
    Data Security Center
    Cloud Certificate Manager
    Edge Security
    Managed Threat Detection
    Media Services
    Media Processing Center
    Video On Demand
    Live
    SparkRTC
    MetaStudio
    Containers
    Cloud Container Engine
    SoftWare Repository for Container
    Application Service Mesh
    Ubiquitous Cloud Native Service
    Cloud Container Instance
    Middleware
    Distributed Cache Service
    API Gateway
    Distributed Message Service for Kafka
    Distributed Message Service for RabbitMQ
    Distributed Message Service for RocketMQ
    Cloud Service Engine
    Multi-Site High Availability Service
    EventGrid
    Business Applications
    Workspace
    ROMA Connect
    Message & SMS
    Domain Name Service
    Edge Data Center Management
    Meeting
    Developer Tools
    SDK Developer Guide
    API Request Signing Guide
    Terraform
    Koo Command Line Interface
    Solutions
    SAP Cloud
    High Performance Computing
    MacroVerse aPaaS
    KooMessage
    KooPhone
    KooDrive
    Compute
    Elastic Cloud Server
    Huawei Cloud Flexus
    Bare Metal Server
    Auto Scaling
    Image Management Service
    Dedicated Host
    FunctionGraph
    Cloud Phone Host
    Huawei Cloud EulerOS
    Networking
    Virtual Private Cloud
    Elastic IP
    Elastic Load Balance
    NAT Gateway
    Direct Connect
    Virtual Private Network
    VPC Endpoint
    Cloud Connect
    Enterprise Router
    Enterprise Switch
    Global Accelerator
    Management & Governance
    Cloud Eye
    Identity and Access Management
    Cloud Trace Service
    Resource Formation Service
    Tag Management Service
    Log Tank Service
    Config
    OneAccess
    Resource Access Manager
    Simple Message Notification
    Application Performance Management
    Application Operations Management
    Organizations
    Optimization Advisor
    IAM Identity Center
    Cloud Operations Center
    Resource Governance Center
    Migration
    Server Migration Service
    Object Storage Migration Service
    Cloud Data Migration
    Migration Center
    Cloud Ecosystem
    KooGallery
    Partner Center
    User Support
    My Account
    Billing Center
    Cost Center
    Resource Center
    Enterprise Management
    Service Tickets
    HUAWEI CLOUD (International) FAQs
    ICP Filing
    Support Plans
    My Credentials
    Customer Operation Capabilities
    Partner Support Plans
    Professional Services
    Analytics
    MapReduce Service
    Data Lake Insight
    CloudTable Service
    Cloud Search Service
    Data Lake Visualization
    Data Ingestion Service
    GaussDB(DWS)
    DataArts Studio
    Data Lake Factory
    DataArts Lake Formation
    IoT
    IoT Device Access
    Others
    Product Pricing Details
    System Permissions
    Console Quick Start
    Common FAQs
    Instructions for Associating with a HUAWEI CLOUD Partner
    Message Center
    Security & Compliance
    Security Technologies and Applications
    Web Application Firewall
    Host Security Service
    Cloud Firewall
    SecMaster
    Anti-DDoS Service
    Data Encryption Workshop
    Database Security Service
    Cloud Bastion Host
    Data Security Center
    Cloud Certificate Manager
    Edge Security
    Managed Threat Detection
    Blockchain
    Blockchain Service
    Web3 Node Engine Service
    Media Services
    Media Processing Center
    Video On Demand
    Live
    SparkRTC
    MetaStudio
    Storage
    Object Storage Service
    Elastic Volume Service
    Cloud Backup and Recovery
    Storage Disaster Recovery Service
    Scalable File Service Turbo
    Scalable File Service
    Volume Backup Service
    Cloud Server Backup Service
    Data Express Service
    Dedicated Distributed Storage Service
    Containers
    Cloud Container Engine
    SoftWare Repository for Container
    Application Service Mesh
    Ubiquitous Cloud Native Service
    Cloud Container Instance
    Databases
    Relational Database Service
    Document Database Service
    Data Admin Service
    Data Replication Service
    GeminiDB
    GaussDB
    Distributed Database Middleware
    Database and Application Migration UGO
    TaurusDB
    Middleware
    Distributed Cache Service
    API Gateway
    Distributed Message Service for Kafka
    Distributed Message Service for RabbitMQ
    Distributed Message Service for RocketMQ
    Cloud Service Engine
    Multi-Site High Availability Service
    EventGrid
    Dedicated Cloud
    Dedicated Computing Cluster
    Business Applications
    Workspace
    ROMA Connect
    Message & SMS
    Domain Name Service
    Edge Data Center Management
    Meeting
    AI
    Face Recognition Service
    Graph Engine Service
    Content Moderation
    Image Recognition
    Optical Character Recognition
    ModelArts
    ImageSearch
    Conversational Bot Service
    Speech Interaction Service
    Huawei HiLens
    Video Intelligent Analysis Service
    Developer Tools
    SDK Developer Guide
    API Request Signing Guide
    Terraform
    Koo Command Line Interface
    Content Delivery & Edge Computing
    Content Delivery Network
    Intelligent EdgeFabric
    CloudPond
    Intelligent EdgeCloud
    Solutions
    SAP Cloud
    High Performance Computing
    Developer Services
    ServiceStage
    CodeArts
    CodeArts PerfTest
    CodeArts Req
    CodeArts Pipeline
    CodeArts Build
    CodeArts Deploy
    CodeArts Artifact
    CodeArts TestPlan
    CodeArts Check
    CodeArts Repo
    Cloud Application Engine
    MacroVerse aPaaS
    KooMessage
    KooPhone
    KooDrive

      All results for "" in this service

      On this page

      Show all

      Help Center/ GaussDB(DWS)/ User Guide/ GaussDB(DWS) Cluster O&M/ Changing GaussDB(DWS) Cluster Specifications/ Using the Elastic Specification Change

      Using the Elastic Specification Change

      Updated on 2025-03-03 GMT+08:00
      View PDF
      Share

      Overview

      Heavy service traffic requires additional resources (such as CPU, memory, and disk resources) to support it. If the current cluster resources are insufficient, creating a new cluster with more resources may be necessary. However, this can be costly and time-consuming. Moreover, creating a cluster with many resources but low service volume can result in resource redundancy and high costs.

      The elastic flavor change function is introduced to tackle this problem. It is ideal for scenarios where computing capabilities (CPU and memory) need to be adjusted during peak hours or when only computing capabilities need to be changed. By using elastic flavor change before peak hours, the cluster's computing capability can be quickly increased. After peak hours, the cluster configuration can be reduced to minimize costs. For more information, see Supported node flavors.

      You can modify the CPU and memory configurations of the VM nodes in the target cluster by utilizing the underlying ECS capabilities. The following figure illustrates this process.

      • To prevent service disruptions, it is crucial to schedule the elastic flavor change time window properly since the cluster must be stopped during the entire process.
      • Changing all nodes concurrently ensures that the process will not take longer due to the number of nodes. Typically, the entire process takes around 5 to 10 minutes.
      Figure 1 Principle of elastic flavor change
      NOTE:
      • Only cluster versions 8.1.1.300 and later support elastic flavor change. For an earlier version, contact technical support to upgrade it first.
      • Elastic specification change is only supported by storage-compute coupled and decoupled clusters that use ECSs and EVS disks. Clusters with local ECSs do not have this capability.

      Precautions

      • Choosing a lower target flavor when decreasing a cluster's flavor can impact its performance, so it is crucial to assess the potential impact on services before proceeding with the operation.
      • Make sure to check if there are enough ECS resources and tenant CPU quotas in the current region before modifying the flavors.
      • You can change the flavors again if needed. In case the flavors of some nodes fail to change, you can resubmit the change task to execute the process.

      Constraints and Limitations

      • You can upgrade or downgrade ECS flavors of the same type. For instance, you can change from dwsx2.2xlarge.m7 to dwsx2.4xlarge.m7, but not to dwsx2.4xlarge.m6.
      • Stop the VM before changing the flavor. The flavor change can only be done offline and it takes 5 to 10 minutes.
      • If you choose the year/monthly billing mode (default), you can easily increase your cluster's flavors as needed. However, decreasing the flavors is not possible in this mode. To do so, you will need to switch to pay-per-use billing mode first.

      Procedure

      1. Log in to the GaussDB(DWS) console.
      2. Click Dedicated Clusters > Clusters. All clusters are displayed by default.
      3. In the row of a cluster, choose More > Change Flavor in the Operation column and click Change Node Flavor.
      4. Configure the flavor. Enable automatic backup as needed.

        • (Default) You can switch the flavor to another flavor of the same type. For details about the supported flavors, see Table 1.
        • If you want to choose a different flavor, select one from the available options displayed on the page. In case you encounter any issues while changing the flavor, contact technical support for assistance.
          Figure 2 Changing flavors

      5. Confirm the settings, select the confirmation check box, and click Next: Confirm.
      6. Click Submit.
      7. Confirm the information and click Submit.

        NOTE:

        If the billing mode is yearly/monthly, you will be redirected to the payment page.

      8. Return to the cluster list. The cluster status will change to Changing node flavor. Wait for about 5 to10 minutes.

      Hybrid Billing for Specifications Change in a Yearly/Monthly Billed Cluster

      Prerequisites

      To handle peak demand, nodes are added to a yearly/monthly cluster as per the schedule of logical clusters and are billed based on a pay-per-use basis. For details, see Elastically Adding or Deleting a Logical Cluster. After scale-out, the cluster uses the hybrid billing mode, that is, both the pay-per-use and yearly/monthly billing modes are used. Nodes created by creating addition or deletion plans are pay-per-use nodes, and nodes created by creating a yearly/monthly cluster are yearly/monthly nodes.

      NOTE:

      Only storage-compute decoupled clusters support hybrid billing.

      Procedure

      1. Log in to the GaussDB(DWS) console. In the navigation pane on the left, choose Dedicated Clusters > Clusters.
      2. Click Create GaussDB(DWS) Cluster to create a storage-compute decoupled cluster if needed. For details, see Creating a GaussDB(DWS) Storage-Compute Decoupled Cluster.
      3. To change the cluster size, first create an addition or deletion. Then, after nodes are added automatically, find the cluster row and select More > Change Specifications > Change node flavor. This opens the hybrid price page. The additional fee is the price that needs to be paid for this flavor change. The configuration fee is the hourly price of the pay-per-use nodes in the cluster.

      Supported Flavors

      Table 1 Supported node flavors

      Current Flavor Name

      Target Flavor Name

      dwsk2.xlarge

      dwsk2.2xlarge, dwsk2.4xlarge, dwsk2.12xlarge, dwsk2.8xlarge

      dwsk2.2xlarge

      dwsk2.12xlarge, dwsk2.8xlarge, dwsk2.4xlarge

      dwsk2.4xlarge

      dwsk2.2xlarge, dwsk2.8xlarge, dwsk2.12xlarge

      dwsk2.8xlarge

      dwsk2.2xlarge, dwsk2.4xlarge, dwsk2.12xlarge

      dwsk2.12xlarge

      dwsk2.2xlarge, dwsk2.4xlarge, dwsk2.8xlarge

      dwsk2.h.12xlarge.4.kc1

      dwsk2.h.xlarge.4.kc1, dwsk2.h.2xlarge.4.kc1, dwsk2.h.4xlarge.4.kc1, dwsk2.h.8xlarge.4.kc1

      dwsk2.h.2xlarge.4.kc1

      dwsk2.h.8xlarge.4.kc1, dwsk2.h.12xlarge.4.kc1, dwsk2.h.xlarge.4.kc1, dwsk2.h.4xlarge.4.kc1

      dwsk2.h.4xlarge.4.kc1

      dwsk2.h.8xlarge.4.kc1, dwsk2.h.12xlarge.4.kc1, dwsk2.h.xlarge.4.kc1, dwsk2.h.2xlarge.4.kc1

      dwsk2.h.8xlarge.4.kc1

      dwsk2.h.xlarge.4.kc1, dwsk2.h.2xlarge.4.kc1, dwsk2.h.4xlarge.4.kc1, dwsk2.h.12xlarge.4.kc1

      dwsk2.h.xlarge.4.kc1

      dwsk2.h.2xlarge.4.kc1, dwsk2.h.4xlarge.4.kc1, dwsk2.h.8xlarge.4.kc1, dwsk2.h.12xlarge.4.kc1

      dwsk2.h1.12xlarge.4.kc1

      dwsk2.h1.4xlarge.4.kc1, dwsk2.h1.8xlarge.4.kc1, dwsk2.h1.2xlarge.4.kc1

      dwsk2.h1.2xlarge.4.kc1

      dwsk2.h1.4xlarge.4.kc1, dwsk2.h1.8xlarge.4.kc1, dwsk2.h1.12xlarge.4.kc1

      dwsk2.h1.4xlarge.4.kc1

      dwsk2.h1.8xlarge.4.kc1, dwsk2.h1.12xlarge.4.kc1, dwsk2.h1.2xlarge.4.kc1

      dwsk2.h1.8xlarge.4.kc1

      dwsk2.h1.4xlarge.4.kc1, dwsk2.h1.12xlarge.4.kc1, dwsk2.h1.2xlarge.4.kc1

      dwsk2.h1.xlarge.2.kc1

      dwsk2.h1.2xlarge.4.kc1, dwsk2.h1.4xlarge.4.kc1, dwsk2.h1.8xlarge.4.kc1, dwsk2.h1.12xlarge.4.kc1

      dwsx2.xlarge

      dwsx2.2xlarge, dwsx2.4xlarge, dwsx2.8xlarge, dwsx2.16xlarge

      dwsx2.2xlarge

      dwsx2.4xlarge, dwsx2.8xlarge, dwsx2.16xlarge

      dwsx2.4xlarge

      dwsx2.2xlarge, dwsx2.8xlarge, dwsx2.16xlarge

      dwsx2.8xlarge

      dwsx2.2xlarge, dwsx2.4xlarge, dwsx2.16xlarge

      dwsx2.16xlarge

      dwsx2.2xlarge, dwsx2.4xlarge, dwsx2.8xlarge

      dwsx2.xlarge.m7

      dwsx2.2xlarge.m7, dwsx2.4xlarge.m7, dwsx2.8xlarge.m7, dwsx2.16xlarge.m7

      dwsx2.2xlarge.m7

      dwsx2.4xlarge.m7, dwsx2.8xlarge.m7, dwsx2.16xlarge.m7

      dwsx2.4xlarge.m7

      dwsx2.2xlarge.m7, dwsx2.8xlarge.m7, dwsx2.16xlarge.m7

      dwsx2.8xlarge.m7

      dwsx2.2xlarge.m7, dwsx2.4xlarge.m7, dwsx2.16xlarge.m7

      dwsx2.16xlarge.m7

      dwsx2.2xlarge.m7, dwsx2.4xlarge.m7, dwsx2.8xlarge.m7

      dwsx2.xlarge.m7n

      dwsx2.2xlarge.m7n, dwsx2.8xlarge.m7n, dwsx2.16xlarge.m7n

      dwsx2.2xlarge.m7n

      dwsx2.8xlarge.m7n, dwsx2.16xlarge.m7n

      dwsx2.8xlarge.m7n

      dwsx2.2xlarge.m7n, dwsx2.16xlarge.m7n

      dwsx2.16xlarge.m7n

      dwsx2.2xlarge.m7n, dwsx2.8xlarge.m7n

      dwsx2.h.xlarge.4.c6

      dwsx2.h.2xlarge.4.c6, dwsx2.h.4xlarge.4.c6, dwsx2.h.8xlarge.4.c6, dwsx2.h.16xlarge.4.c6

      dwsx2.h.2xlarge.4.c6

      dwsx2.h.4xlarge.4.c6, dwsx2.h.8xlarge.4.c6, dwsx2.h.16xlarge.4.c6

      dwsx2.h.4xlarge.4.c6

      dwsx2.h.8xlarge.4.c6, dwsx2.h.16xlarge.4.c6, dwsx2.h.2xlarge.4.c6

      dwsx2.h.8xlarge.4.c6

      dwsx2.h.4xlarge.4.c6, dwsx2.h.16xlarge.4.c6, dwsx2.h.2xlarge.4.c6

      dwsx2.h.16xlarge.4.c6

      dwsx2.h.2xlarge.4.c6, dwsx2.h.4xlarge.4.c6, dwsx2.h.8xlarge.4.c6

      dwsx2.h.xlarge.4.c7

      dwsx2.h.4xlarge.4.c7, dwsx2.h.8xlarge.4.c7, dwsx2.h.16xlarge.4.c7, dwsx2.h.2xlarge.4.c7

      dwsx2.h.2xlarge.4.c7

      dwsx2.h.4xlarge.4.c7, dwsx2.h.8xlarge.4.c7, dwsx2.h.16xlarge.4.c7

      dwsx2.h.4xlarge.4.c7

      dwsx2.h.2xlarge.4.c7, dwsx2.h.8xlarge.4.c7, dwsx2.h.16xlarge.4.c7

      dwsx2.h.8xlarge.4.c7

      dwsx2.h.16xlarge.4.c7, dwsx2.h.2xlarge.4.c7, dwsx2.h.4xlarge.4.c7

      dwsx2.h.16xlarge.4.c7

      dwsx2.h.8xlarge.4.c7, dwsx2.h.xlarge.4.c7, dwsx2.h.2xlarge.4.c7, dwsx2.h.4xlarge.4.c7

      dwsx2.h.xlarge.4.c7n

      dwsx2.h.2xlarge.4.c7n, dwsx2.h.4xlarge.4.c7n, dwsx2.h.8xlarge.4.c7n, dwsx2.h.16xlarge.4.c7n

      dwsx2.h.2xlarge.4.c7n

      dwsx2.h.4xlarge.4.c7n, dwsx2.h.8xlarge.4.c7n, dwsx2.h.16xlarge.4.c7n

      dwsx2.h.4xlarge.4.c7n

      dwsx2.h.2xlarge.4.c7n, dwsx2.h.8xlarge.4.c7n, dwsx2.h.16xlarge.4.c7n

      dwsx2.h.8xlarge.4.c7n

      dwsx2.h.16xlarge.4.c7n, dwsx2.h.2xlarge.4.c7n, dwsx2.h.4xlarge.4.c7n

      dwsx2.h.16xlarge.4.c7n

      dwsx2.h.4xlarge.4.c7n, dwsx2.h.8xlarge.4.c7n, dwsx2.h.2xlarge.4.c7n

      dwsx2.h1.xlarge.2.c6

      dwsx2.h1.8xlarge.4.c6, dwsx2.h1.16xlarge.4.c6, dwsx2.h1.2xlarge.4.c6, dwsx2.h1.4xlarge.4.c6

      dwsx2.h1.2xlarge.4.c6

      dwsx2.h1.4xlarge.4.c6, dwsx2.h1.8xlarge.4.c6, dwsx2.h1.16xlarge.4.c6

      dwsx2.h1.4xlarge.4.c6

      dwsx2.h1.2xlarge.4.c6, dwsx2.h1.8xlarge.4.c6, dwsx2.h1.16xlarge.4.c6

      dwsx2.h1.8xlarge.4.c6

      dwsx2.h1.16xlarge.4.c6, dwsx2.h1.4xlarge.4.c6, dwsx2.h1.2xlarge.4.c6

      dwsx2.h1.16xlarge.4.c6

      dwsx2.h1.4xlarge.4.c6, dwsx2.h1.2xlarge.4.c6, dwsx2.h1.8xlarge.4.c6

      dwsx2.h1.xlarge.2.c7

      dwsx2.h1.4xlarge.4.c7, dwsx2.h1.8xlarge.4.c7, dwsx2.h1.16xlarge.4.c7, dwsx2.h1.2xlarge.4.c7

      dwsx2.h1.16xlarge.4.c7

      dwsx2.h1.4xlarge.4.c7, dwsx2.h1.8xlarge.4.c7, dwsx2.h1.2xlarge.4.c7

      dwsx2.h1.2xlarge.4.c7

      dwsx2.h1.4xlarge.4.c7, dwsx2.h1.8xlarge.4.c7, dwsx2.h1.16xlarge.4.c7

      dwsx2.h1.4xlarge.4.c7

      dwsx2.h1.2xlarge.4.c7, dwsx2.h1.8xlarge.4.c7, dwsx2.h1.16xlarge.4.c7

      dwsx2.h1.8xlarge.4.c7

      dwsx2.h1.4xlarge.4.c7, dwsx2.h1.2xlarge.4.c7, dwsx2.h1.16xlarge.4.c7

      dwsx2.h1.xlarge.2.c7n

      dwsx2.h1.2xlarge.4.c7n, dwsx2.h1.4xlarge.4.c7n, dwsx2.h1.8xlarge.4.c7n, dwsx2.h1.16xlarge.4.c7n

      dwsx2.h1.2xlarge.4.c7n

      dwsx2.h1.16xlarge.4.c7n, dwsx2.h1.4xlarge.4.c7n, dwsx2.h1.8xlarge.4.c7n

      dwsx2.h1.4xlarge.4.c7n

      dwsx2.h1.8xlarge.4.c7n, dwsx2.h1.16xlarge.4.c7n, dwsx2.h1.2xlarge.4.c7n

      dwsx2.h1.8xlarge.4.c7n

      dwsx2.h1.4xlarge.4.c7n, dwsx2.h1.16xlarge.4.c7n, dwsx2.h1.2xlarge.4.c7n

      dwsx2.h1.16xlarge.4.c7n

      dwsx2.h1.2xlarge.4.c7n, dwsx2.h1.4xlarge.4.c7n, dwsx2.h1.8xlarge.4.c7n

      dwsx2.rt.xlarge.m7

      dwsx2.rt.2xlarge.m7, dwsx2.rt.4xlarge.m7, dwsx2.rt.8xlarge.m7, dwsx2.rt.16xlarge.m7

      dwsx2.rt.2xlarge.m7

      dwsx2.rt.4xlarge.m7, dwsx2.rt.8xlarge.m7, dwsx2.rt.16xlarge.m7

      dwsx2.rt.4xlarge.m7

      dwsx2.rt.2xlarge.m7, dwsx2.rt.8xlarge.m7, dwsx2.rt.16xlarge.m7

      dwsx2.rt.8xlarge.m7

      dwsx2.rt.2xlarge.m7, dwsx2.rt.4xlarge.m7, dwsx2.rt.16xlarge.m7

      dwsx2.rt.16xlarge.m7

      dwsx2.rt.2xlarge.m7, dwsx2.rt.4xlarge.m7, dwsx2.rt.8xlarge.m7

      dwsk2.rt.xlarge.km1

      dwsk2.rt.2xlarge.km1, dwsk2.rt.4xlarge.km1, dwsk2.rt.8xlarge.km1, dwsk2.rt.12xlarge.km1

      dwsk2.rt.2xlarge.km1

      dwsk2.rt.4xlarge.km1, dwsk2.rt.8xlarge.km1, dwsk2.rt.12xlarge.km1

      dwsk2.rt.4xlarge.km1

      dwsk2.rt.2xlarge.km1, dwsk2.rt.8xlarge.km1, dwsk2.rt.12xlarge.km1

      dwsk2.rt.8xlarge.km1

      dwsk2.rt.2xlarge.km1, dwsk2.rt.4xlarge.km1, dwsk2.rt.12xlarge.km1

      dwsk2.rt.12xlarge.km1

      dwsk2.rt.2xlarge.km1, dwsk2.rt.4xlarge.km1, dwsk2.rt.8xlarge.km1

      dwsx2.rt.xlarge.m7n

      dwsx2.rt.2xlarge.m7n, dwsx2.rt.8xlarge.m7n, dwsx2.rt.16xlarge.m7n

      dwsx2.rt.2xlarge.m7n

      dwsx2.rt.8xlarge.m7n, dwsx2.rt.16xlarge.m7n

      dwsx2.rt.8xlarge.m7n

      dwsx2.rt.2xlarge.m7n, dwsx2.rt.16xlarge.m7n

      dwsx2.rt.16xlarge.m7n

      dwsx2.rt.2xlarge.m7n, dwsx2.rt.8xlarge.m7n

      4U32G.4DPU

      8U64G.8DPU, 16U128G.16DPU, 32U256G.32DPU, 64U512G.64DPU, 96U768G.96DPU, and 128U1024G.128DPU

      8U64G.8DPU

      16U128G.16DPU, 32U256G.32DPU, 64U512G.64DPU, 96U768G.96DPU, and 128U1024G.128DPU

      16U128G.16DPU

      8U64G.8DPU, 32U256G.32DPU, 64U512G.64DPU, 96U768G.96DPU, and 128U1024G.128DPU

      32U256G.32DPU

      8U64G.8DPU, 16U128G.16DPU, 64U512G.64DPU, 96U768G.96DPU, and 128U1024G.128DPU

      64U512G.64DPU

      8U64G.8DPU, 16U128G.16DPU, 32U256G.32DPU, 96U768G.96DPU, and 128U1024G.128DPU

      96U768G.96DPU

      8U64G.8DPU, 16U128G.16DPU, 32U256G.32DPU, 64U512G.64DPU, 96U768G.96DPU, and 128U1024G.128DPU

      128U1024G.128DPU

      8U64G.8DPU, 16U128G.16DPU, 32U256G.32DPU, 64U512G.64DPU, 96U768G.96DPU, and 128U1024G.128DPU

      เราใช้คุกกี้เพื่อปรับปรุงไซต์และประสบการณ์การใช้ของคุณ การเรียกดูเว็บไซต์ของเราต่อแสดงว่าคุณยอมรับนโยบายคุกกี้ของเรา เรียนรู้เพิ่มเติม

      Feedback

      Feedback

      Feedback

      0/500

      Selected Content

      Submit selected content with the feedback