Deka GPU Documentations
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  • Deka GPU
    • Deka GPU: Kubernetes
      • Introduction
      • GPU Type
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          • Create a New Persistent Volume Claim
          • How to Create a New Persistent Volume Claim use CLI
    • Deka GPU: VMs
      • Operating System
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      • How to Create a Virtual Machine on Service Portal
      • How to Manually Create a Virtual Machine
        • Download Kube Config
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        • Configuration file dv.yaml
        • Configuration file vm.yaml
        • Configuration file svc.yaml
      • Feature Overview of Virtual Machine
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        • How to Access Console
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    • Deka GPU: Registry
      • Create Registry
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        • Summary
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    • 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
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      • Experiments (AutoML)
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      • Experiments (KFP)
        • Create Experiment
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        • Home
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      • Executions
      • Manage Contributors
  • Deka LLM
    • Introduction
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    • API Deka LLM
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    • 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
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      • 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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Executions

PreviousArtifactsNextManage Contributors

Last updated 2 months ago

The Executions menu is a representation of the execution of a component or step in the pipeline. On the Service Portal Deka MLOps menu page, select the Executions menu.

In the Executions menu, there are two submenus.

  • Default

The Default submenu displays all executions in a straightforward list format. This includes every execution that has been run, regardless of its status or grouping. It provides users with a comprehensive view of all executions, making it easy to track and manage them without any additional categorization. This is particularly useful for quickly accessing execution details and monitoring their progress.

  • Grouped

The Grouped submenu organizes executions into specific categories based on certain criteria, such as the experiment or pipeline they are associated with. This allows users to easily navigate through related executions, facilitating better management and analysis of workflows. Grouping helps in maintaining a structured overview, especially when dealing with numerous executions, making it simpler to find and review specific runs related to particular projects or experiments.

Executions Menu
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