Obtaining the Available Flavors
Function
Obtain the available flavors.
Constraints
None
URI
GET /v1/{project_id}/notebooks/flavors
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| project_id | Yes | String | Project ID. For details, see Obtaining a Project ID and Name. |
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| category | No | String | Processor type. Options:
|
| limit | No | Integer | Number of records on each page. (No limit by default) |
| offset | No | Integer | Start offset of the records on each page. The default value is 0. |
| type | No | String | Cluster type.
|
| sort_dir | No | String | Sorting mode. The options are ASC (ascending order) and DESC (descending order). The default value is DESC. |
| sort_key | No | String | Sorting fields. Separate multiple fields with commas (,). |
Request Parameters
None
Response Parameters
Status code: 200
| 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 |
| Parameter | Type | Description |
|---|---|---|
| arch | String | Architecture type. Options:
|
| ascend | AscendInfo object | NPU information |
| billing | BillingInfo object | CDR information |
| category | String | Processor type. Options:
|
| description | String | Specification description |
| feature | String | Specification type. The options are as follows:
|
| 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.
|
| storages | Array of strings | Storage type. Options:
|
| vcpus | Integer | Number of vCPUs |
| Parameter | Type | Description |
|---|---|---|
| npu | Integer | Number of NPUs |
| npu_memory | String | NPU memory |
| type | String | NPU type |
Example Requests
GET https://{endpoint}/v1/{project_id}/notebooks/flavors Example Responses
Status code: 200
OK
{
"current" : 2,
"data" : [ {
"arch" : "x86_64",
"billing" : {
"code" : "modelarts.bm.gpu.v100NV32",
"unit_num" : 4
},
"category" : "GPU",
"description" : "Four NVIDIA V100 GPUs, each with 32GB of memory, ideal for deep learning algorithm training and debugging.",
"feature" : "NOTEBOOK",
"free" : false,
"gpu" : {
"gpu" : 4,
"gpu_memory" : "128",
"type" : "nvidia-v100-pcie32"
},
"id" : "modelarts.bm.gpu.4v100NV32.nosdi",
"memory" : 134217728,
"name" : "GPU: 4*V100(128GB)|CPU: 32vCPUs 256GB",
"sold_out" : true,
"storages" : [ "EFS", "OBSFS", "OBS", "EVS" ],
"vcpus" : 32
}, {
"arch" : "x86_64",
"billing" : {
"code" : "modelarts.bm.gpu.v100NV32.eco",
"unit_num" : 2
},
"category" : "GPU",
"description" : "Two Shared NVIDIA V100 GPU with 64GB of memory, ideal for ML development",
"feature" : "NOTEBOOK",
"free" : false,
"gpu" : {
"gpu" : 0.5,
"gpu_memory" : "64",
"type" : "nvidia-v100-nv32"
},
"id" : "modelarts.bm.gpu.2v100NV32.share",
"memory" : 67108864,
"name" : "vGPU: 2*V100(32GB)|CPU: 8vCPUs 64GB",
"sold_out" : false,
"storages" : [ "EFS", "OBSFS", "OBS", "EVS" ],
"vcpus" : 8
} ],
"pages" : 26,
"size" : 2,
"total" : 52
} Status Codes
| Status Code | Description |
|---|---|
| 200 | OK |
| 401 | Unauthorized |
| 403 | Forbidden |
| 404 | Not Found |
Error Codes
See Error Codes.
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