Help Center/ModelArts/API Reference/Development Environment Management/Querying Flavors Available for a Notebook Instance
Updated on 2025-05-30 GMT+08:00
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Querying Flavors Available for a Notebook Instance

Function

This API is used to query the flavors available for a notebook instance.

Constraints

None

URI

GET /v1/{project_id}/notebooks/{id}/flavors

Table 1 Path Parameters

Parameter

Mandatory

Type

Description

id

Yes

String

Notebook instance ID.

project_id

Yes

String

Project ID. For details, see Obtaining a Project ID and Name.

Table 2 Query Parameters

Parameter

Mandatory

Type

Description

limit

No

Integer

Number of records on each page. (No limit by default)

offset

No

Integer

Start offset of the records on each page

Request Parameters

None

Response Parameters

Status code: 200

Table 3 Response body parameters

Parameter

Type

Description

current

Integer

Current page

data

Array of NotebookFlavor objects

Pagination data

flavors

Array of NotebookFlavor objects

List of specifications that can be switched.

pages

Integer

Total number of pages

size

Integer

Number of records on each page

total

Long

Total number of records

Table 4 NotebookFlavor

Parameter

Type

Description

arch

String

Architecture type. Options:

  • X86_64

  • AARCH64

ascend

AscendInfo object

NPU information

billing

BillingInfo object

CDR information

category

String

Processor type. Options:

  • CPU

  • GPU

  • ASCEND

description

String

Specification description

feature

String

Specification type. The options are as follows:

  • DEFAULT: CodeLab specification.

  • NOTEBOOK: Notebook specifications.

free

Boolean

Specifies whether the flavor is free of charge.

gpu

GPUInfo object

GPU information

id

String

Flavor ID

memory

Long

Memory size

name

String

Flavor name

sold_out

Boolean

Whether resources are sufficient.

  • true: Resources are insufficient.

  • false: Resources are sufficient.

storages

Array of strings

Storage type. Options:

  • EFS

  • EVS

vcpus

Integer

Number of vCPUs

Table 5 AscendInfo

Parameter

Type

Description

npu

Integer

Number of NPUs

npu_memory

String

NPU memory

type

String

NPU type

Table 6 BillingInfo

Parameter

Type

Description

code

String

Billing code

unit_num

Integer

Billing unit

Table 7 GPUInfo

Parameter

Type

Description

gpu

Integer

Number of GPUs

gpu_memory

String

GPU memory

type

String

GPU type

Example Requests

GET https://{endpoint}/v1/{project_id}/notebooks/{id}/flavors

Example Responses

Status code: 200

OK

{
  "current" : 1,
  "data" : [ {
    "arch" : "aarch64",
    "ascend" : {
      "npu_memory" : "32",
      "npu" : 2,
      "type" : "ascend-snt9"
    },
    "billing" : {
      "code" : "modelarts.kat1.xlarge",
      "unit_num" : 2
    },
    "category" : "ASCEND",
    "description" : "The Ascend specification is suitable for deep learning code running and debugging",
    "feature" : "NOTEBOOK",
    "free" : false,
    "id" : "modelarts.bm.snt9.xlarge.2",
    "memory" : 201326592,
    "name" : "Ascend: 2*Ascend snt9|CPU: 48vCPUs 192GB",
    "sold_out" : false,
    "storages" : [ "EFS" ],
    "vcpus" : 48
  }, {
    "arch" : "aarch64",
    "ascend" : {
      "npu_memory" : "128",
      "npu" : 8,
      "type" : "ascend-snt9"
    },
    "billing" : {
      "code" : "modelarts.kat1.8xlarge",
      "unit_num" : 1
    },
    "category" : "ASCEND",
    "description" : "The Ascend specification is suitable for deep learning code running and debugging",
    "feature" : "NOTEBOOK",
    "free" : false,
    "id" : "modelarts.bm.snt9.xlarge.8",
    "memory" : 805306368,
    "name" : "Ascend: 8*Ascend snt9|CPU: 192vCPUs 768GB",
    "sold_out" : false,
    "storages" : [ "EFS" ],
    "vcpus" : 192
  } ],
  "flavors" : [ {
    "arch" : "aarch64",
    "ascend" : {
      "npu_memory" : "32",
      "npu" : 2,
      "type" : "ascend-snt9"
    },
    "billing" : {
      "code" : "modelarts.kat1.xlarge",
      "unit_num" : 2
    },
    "category" : "ASCEND",
    "description" : "The Ascend specification is suitable for deep learning code running and debugging",
    "feature" : "NOTEBOOK",
    "free" : false,
    "id" : "modelarts.bm.snt9.xlarge.2",
    "memory" : 201326592,
    "name" : "Ascend: 2*Ascend snt9|CPU: 48vCPUs 192GB",
    "sold_out" : false,
    "storages" : [ "EFS" ],
    "vcpus" : 48
  }, {
    "arch" : "aarch64",
    "ascend" : {
      "npu_memory" : "128",
      "npu" : 8,
      "type" : "ascend-snt9"
    },
    "billing" : {
      "code" : "modelarts.kat1.8xlarge",
      "unit_num" : 1
    },
    "category" : "ASCEND",
    "description" : "The Ascend specification is suitable for deep learning code running and debugging",
    "feature" : "NOTEBOOK",
    "free" : false,
    "id" : "modelarts.bm.snt9.xlarge.8",
    "memory" : 805306368,
    "name" : "Ascend: 8*Ascend snt9|CPU: 192vCPUs 768GB",
    "sold_out" : false,
    "storages" : [ "EFS" ],
    "vcpus" : 192
  } ],
  "pages" : 1,
  "size" : 2,
  "total" : 2
}

Status Codes

Status Code

Description

200

OK

401

Unauthorized

403

Forbidden

404

Not Found

Error Codes

See Error Codes.