Deka GPU Documentations
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    • Deka GPU: Kubernetes
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      • How to Create a Virtual Machine on Service Portal
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        • Download Kube Config
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        • Configuration file dv.yaml
        • Configuration file vm.yaml
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    • Deka GPU: Registry
      • Create Registry
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    • Deka GPU: Security
      • Deka Guard
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        • Create Guard to Allow Ingress with port
        • Create Guard to Allow Ingress with IP/CIDR
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        • Create Guard to Allow Egress
        • Create guard to Allow Egress with Port
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    • Deka GPU: Service
      • Ingress
        • Install Ingress nginx
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      • Basic Autoscaling
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      • Introduction
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        • Home
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  • Deka LLM
    • Introduction
    • Check Project Type
    • Create a New LLM
    • Detail Deka LLM
      • Overview Tab
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        • Create a New Key
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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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    • 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
    • Deployment Deepseek R1 70B with VLLM on Deka GPU's Kubernetes
      • Prerequisites
      • Create Namespace
      • Create PersistentVolumeClaim (PVC)
      • Create Deployment
      • Create Service
      • Verify Deployment
      • Accessing the Deepsek Service
      • Troubleshooting
    • 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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  • Create API Key
  • Test API Key with Docker
  1. Reference

How to Get an API Key on NGC

PreviousTroubleshootingNextDeployment LLM with Deka GPU + NIM

Last updated 4 months ago

NVIDIA GPU Cloud (NGC) is a cloud-based platform developed by NVIDIA that provides access to GPU-optimized software for various Artificial Intelligence (AI) learning tasks. To make it easier for you to enjoy the services available on NGC, you need to have an API Key. This guide explains how to get an API Key on NGC.

Create API Key

In the first step, click to go to the NGC site. Press Welcome Guest on the right and select Sign In/Sign Up.

Sign In

To log in to NGC, you have an NVIDIA account and password that you have, if you don't have an account, you can create an account first and follow the steps until finished.

Tap Your Profile and select Setup.

The Setup page appears, click the Generate API Key button.

The API Key page appears, click the Generate API Key button.

Click Confirm button.

After the API Key is successfully generated, copy the API Key token.

Make sure you don't share or store it in a place where others can see or copy it.

Test API Key with Docker

Use the Docker to test API Key tokens that you have obtained. Run the following command to log in to the Docker.

docker login nvcr.io

Enter Username with $oauthtoken and Password with the token you previously copied.

If the login succeeds, you can try pulling one of the Docker images by running this syntax.

docker pull nvcr.io/nvidia/tritonserver:24.12-trtllm-python-py3

Wait for all Complete and if you have successfully pulled the image, the API Key can be used.

Sign In NGC
Setup
Setup
Setup
Create token
Token
this link
Pull Image
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