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POST
/
v1
/
containers
create workload
curl --request POST \
  --url https://console.gmicloud.ai/api/v1/containers \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "count": 2,
  "idc": "<string>",
  "product": "<string>",
  "envs": [
    {
      "name": "access_token",
      "value": "kalsk113=="
    }
  ],
  "name": "LLM training",
  "ports": [],
  "storages": [
    {
      "containerPath": "/workspace",
      "id": "550e8400-e29b-41d4-a716-446655440000"
    }
  ],
  "templateId": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}'
[
  {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  }
]

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
count
integer
required
Required range: x >= 1
​
idc
string
required
Required string length: 1 - 1048576
​
product
string
required

product name of merch table

Required string length: 1 - 1048576
​
name
string
required
Maximum length: 255
​
templateId
string<uuid>
required

template id

​
envs
object[]
Example:
[
  {
    "name": "access_token",
    "value": "kalsk113=="
  }
]
​
ports
object[]
​
storages
object[]
Example:
[
  {
    "containerPath": "/workspace",
    "id": "550e8400-e29b-41d4-a716-446655440000"
  }
]

Response

successful

​
id
string<uuid>
required