Deka GPU Documentations
  • Starter Guide
    • Introduction
    • Sign Up
    • Choose a Package
    • Top Up
    • Create a Virtual Machine
    • Download kubeconfig
    • Create a Deka LLM
    • Create a Deka Notebook
    • Conclusion
  • Service Portal
    • Introduction
    • Sign Up
    • Sign In
    • Sign Out
    • Forgot Password
    • Account Setting
      • Using MFA Google Authenticator
      • Using MFA Microsoft Authenticator
    • Project
      • Add Project
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    • List Roles
    • Broadcast
    • Audit Log
    • Voucher
    • Security
      • AI Security AI Infrastructure Layer
      • AI Security AI Application Layer
    • Ticket
      • Create Ticket
      • Detail Ticket
    • Billing
      • Daily Cost Estimated
      • Monthly Cost
      • Invoice
      • Summary Monthly
    • Balance
      • Project Type: SME
        • GPU Merdeka
        • Choose Package
        • Top-Up
      • Project Type: Enterprise
      • History Balance
        • Balance
        • Transaction
      • Custom Resource Definition
  • Deka GPU
    • Deka GPU: Kubernetes
      • Introduction
      • GPU Type
      • Dashboard
        • Check Status Kubernetes
        • Download Kube Config
        • Access Console
      • Workloads
        • Pods
          • Create New Pod
          • Access Console
          • Configuration Pod
          • Delete Pod
          • How to Create a New Pod use CLI
        • Deployments
          • Create New Deployment
          • Configuring Deployment
          • Delete of a Deployment
          • How to Create a New Deployment use CLI
        • DaemonSets
          • Create a New DaemonSet
          • Configuring a DaemonSet
          • Delete DaemonSet
      • Services
      • Storages
        • Storage Class
        • Persistent Volume Claims
          • Create a New Persistent Volume Claim
          • How to Create a New Persistent Volume Claim use CLI
    • Deka GPU: VMs
      • Operating System
      • GPU Type
      • Machine Type
      • Namespace Type
      • Storage Class
      • How to Create a Virtual Machine on Service Portal
      • How to Manually Create a Virtual Machine
        • Download Kube Config
        • Running Kube Config
        • Configuration file dv.yaml
        • Configuration file vm.yaml
        • Configuration file svc.yaml
      • Feature Overview of Virtual Machine
        • Detail a Virtual Machine
        • Open Console
        • Turn Off a VM Instance
        • Turn On a VM Instance
        • Restart a Virtual Machine
        • How to Access Console
        • Show YAML File
      • Delete a Virtual Machine
    • Deka GPU: Registry
      • Create Registry
      • Quota
      • Detail Registry
        • Summary
        • Repository
        • Logs
        • Labels
        • Tag Immutability
        • Member
        • Resize Storage Registry
      • Delete Registry
    • Deka GPU: Security
      • Deka Guard
        • Introduction
        • Create Guard to Deny All Ingress
        • Create Guard to Allow Ingress
        • Create Guard to Allow Ingress with port
        • Create Guard to Allow Ingress with IP/CIDR
        • Create Guard to Deny All Egress
        • Create Guard to Allow Egress
        • Create guard to Allow Egress with Port
        • Create Guard to Allow Egress with IP/CIDR
    • Deka GPU: Service
      • Ingress
        • Install Ingress nginx
        • Install Cert Manager
        • Create Cluster Issuer
        • Create Ingress with TLS
    • Deka GPU: Autoscaling
      • Basic Autoscaling
    • Deka GPU: Network
      • Deka VPC
    • Deka GPU: MLOps
      • Introduction
      • Notebook
      • Tensorboards
      • Volumes
      • Endpoints
        • Create Endpoint
        • Delete Endpoint
      • Experiments (AutoML)
        • Create Experiments (AutoML)
        • Create Experiments (AutoML) using Python SDK
        • Get Experiments Results
      • Experiments (KFP)
        • Create Experiment
      • Pipelines
      • Runs
        • Create Run
        • Delete Active Run
      • Recurring Runs
        • Create Recurring Run
        • Delete Recurring Runs
        • Home
      • Artifacts
      • Executions
      • Manage Contributors
  • Deka LLM
    • Introduction
    • Check Project Type
    • Create a New LLM
    • Detail Deka LLM
      • Overview Tab
      • Keys Tab
        • Create a New Key
        • Detail a Key
        • Edit a Key
        • Get a Secret Key
        • Delete a Key
      • Usage Tab
      • Top Up Coin
    • API Deka LLM
      • Model Management
      • Completions
      • Embedding
    • Delete Deka LLM
    • How to Create Simple Prompt with Deka LLM
      • Create Deka LLM
      • Get URL API Deka LLM
      • Get Secret Key
      • Access API Deka LLM using Postman
      • Get Model
      • Post Chat Completions
  • Deka Notebook
    • Introduction
    • Namespace Type
    • Create a New Notebook
    • Detail Deka Notebook
      • Configuration Deka Notebook
      • Start Deka Notebook Service
      • Stop Deka Notebook Service
      • Get Token
      • Login Deka Notebook
      • Logout Deka Notebook
    • Delete Deka Notebook
  • Reference
    • How to use kubeconfig on Linux
    • How to use kubeconfig on Windows
    • Kubernetes Commands for Enhancing Security
    • How to add GPU in Kubernetes
    • How to Add GPU in VM
      • Download kubeconfig
      • Install kubectl
      • Add GPU
      • Install Driver NVIDIA
    • RAPIDS
      • How to Setup RAPIDS
      • How to make Custom Image
    • How to push image with Docker
    • Deployment LLaMA 3.1 70B with VLLM on Kubernetes
      • Getting the Hugging Face API Key
      • Requesting Access to the LLaMA Model
      • Connect Kubernetes on Computer
      • Create Namespace
      • Create PersistentVolumeClaim (PVC)
      • Create Secret for Hugging Face Token
      • Create Deployment
      • Create Service
      • Verify Deployment
      • Accessing the LLaMA Service
      • Troubleshooting
    • How to Get an API Key on NGC
    • Deployment LLM with Deka GPU + NIM
    • How to Upload and Download on FTP Web
  • Troubleshooting
    • Reinstall Driver NVIDIA on Linux
    • NVIDIA Driver Not Detected After Upgrade Kernel
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  1. Deka GPU
  2. Deka GPU: MLOps
  3. Runs

Create Run

PreviousRunsNextDelete Active Run

Last updated 2 months ago

Click “+ Create run” button then a window titled “Start a New Run” appears, containing several fields that need to be filled out:

a. Run details, you will select the pipeline you intend to use in this section. You can either create a new pipeline or opt for an existing one within your Service Portal Cloudeka Deka MLOps by clicking the “Use this pipeline” button. After selecting the pipeline, choose its version and provide a name and description for the run you initiate. Additionally, you must specify the experiment with which the run will be associated. This information is essential for effectively identifying and organizing your runs.

b. Run Type, this field allows you to specify the type of run you want to execute. There are two main options.

  1. One-off Run: This is a single, standalone execution of the pipeline. The run is initiated manually and does not repeat automatically.

  2. Recurring Run: This option enables you to set up a recurring or scheduled execution of the pipeline. When selecting a Recurring Run, you need to configure the following.

    1. Trigger Type: You can choose between two trigger types:

      — Periodic: This will run the pipeline at a regular interval, such as every X minutes, hours, days, weeks, or months.

      — Cron: This allows you to define a custom cron schedule to trigger the pipeline runs.

    2. Maximum Concurrent Runs: This setting determines the maximum number of pipeline runs that can be executed concurrently.

    3. Start Date and End Date (Optional): You can optionally specify a start and end date for the recurring run. This allows you to schedule the pipeline to run only during a specific time period.

    4. Catch-up (Optional): Some recurring run configurations may include a "catch-up" feature. This ensures that if a scheduled run is missed (e.g., due to a system outage), the pipeline will automatically execute the missed runs when the system becomes available again.

c. Pipeline Root: Here, you will define the root directory for the pipeline. This is where the artifacts generated during the run will be stored. Specifying a clear and organized pipeline root helps in managing outputs and logs effectively.

d. Run Parameters: This section is where you can input any parameters that the pipeline requires for execution. These parameters can include hyperparameters for machine learning models, input data paths, or any other configuration settings that are necessary for the run.

By filling out these fields, you set the foundation for your experiment, ensuring that all necessary details are in place for a successful execution of your pipeline in the Portal Cloudeka Deka MLOps Service and you can press “Start” button.

After successfully creating a “Runs”, you will be directed to the Recurring Run menu, which displays information related to the Recurring Run that has been executed if you selected “Recurring” as the Run Type. If you wish to create another Recurring Runs, you can refer to the documentation on the Recurring Runs page documentations.

However, if you selected “One-off” as the Run Type, you can simply press the “Start” button without needing to fill out the Run Trigger section. You will then be taken to the details page of the experiment once it has been successfully created.

After successfully completing the process, you will be redirected back to the Active submenu in the Runs menu.

Create Run
Create New Runs
Recurring Runs Menu
Create New Runs
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