Supported Images List

GET

/gpu_service/image/

curl --request GET \
  --url 'https://api.e2enetworks.com/myaccount/api/v1/gpu/gpu_service/image/?category=<CATEGORY>&location=<LOCATION>&apikey=<API_KEY>' \
  --header 'Authorization: Bearer <API_TOKEN>'

import requests

response = requests.get(
    "https://api.e2enetworks.com/myaccount/api/v1/gpu/gpu_service/image/",
    params={"category": "<CATEGORY>", "location": "<LOCATION>", "apikey": "<API_KEY>"},
    headers={"Authorization": "Bearer <API_TOKEN>"},
)
print(response.json())

const url = new URL("https://api.e2enetworks.com/myaccount/api/v1/gpu/gpu_service/image/");
url.search = new URLSearchParams({ category: "<CATEGORY>", location: "<LOCATION>", apikey: "<API_KEY>" });

const response = await fetch(url, {
  method: "GET",
  headers: { "Authorization": "Bearer <API_TOKEN>" },
});
console.log(await response.json());

Returns all available notebook images and their versions. Use the image_version_id from the response when calling the SKU List API for notebooks.

Parameters

Query Parameters

category

required

string

Allowed values: notebook

Responses

200

A list of available images with their details and versions

application/json

object

code

integer

data

Array<object>

object

image_id

integer

name

string

slug_name

string

versions

Array<object>

object

image_version_id

integer

version

string

cpu_image_url

string

nullable

gpu_image_url

string

description

string

icon_url

string

description

string

Example

{
  "code": 200,
  "data": [
    {
      "image_id": 9,
      "name": "Transformers",
      "slug_name": "nvidia-pytorch-transformers",
      "versions": [
        {
          "image_version_id": 56,
          "version": "v4.45.2",
          "cpu_image_url": "registry.e2enetworks.net/aimle2e/nvidia-pytorch-transformers:24.03-2.3.0-4.45.2",
          "gpu_image_url": "registry.e2enetworks.net/aimle2e/nvidia-pytorch-transformers:24.03-2.3.0-4.45.2",
          "description": "Transformers v4.45.2 with Python 3.10 and NVIDIA Cuda 12.4 pre-installed on Ubuntu 22.04"
        }
      ],
      "icon_url": "/notebook_images/hf-logo.png",
      "description": "Transformers v4.31.0 with Python 3.10 and NVIDIA Cuda 12.1 pre-installed on Ubuntu 22.04"
    }
  ]
}