Rent GPU

Machine Lis

List Machines

GEThttps://api.netmind.ai/v1/rentgpu/machines

Query parameters

Header parameters

Response

200422

Successful Response

Body

application/json

on_demand*On Demand

labels*Labels

node_name*Node Name

cluster*Cluster

gpu_name*Gpu Name

gpu_count*Gpu Count

gpu_memory*Gpu Memory

cpu_name*Cpu Name

cpu_count*Cpu Count

cpu_per_gpu*Cpu Per Gpu

memory_per_gpu*Memory Per Gpu

memory_total*Memory Total

disk_per_gpu*Disk Per Gpu

disk_total*Disk Total

region*Region

network_upload_speed*Network Upload Speed

network_download_speed*Network Download Speed

up_time*Up Time

online_rate*Online Rate

price*Price

original_price*Original Price

gpu_id*Gpu Id

organization*Organization

stringnull

driver_version*Driver Version

stringnull

cuda_version*Cuda Version

stringnull

nvlink_status*Nvlink Status

booleannull

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/machines', {
    method: 'GET',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

[
  {
    "on_demand": "text",
    "labels": [
      "text"
    ],
    "node_name": "text",
    "cluster": "text",
    "gpu_name": "text",
    "gpu_count": 0,
    "gpu_memory": 0,
    "cpu_name": "text",
    "cpu_count": 0,
    "cpu_per_gpu": 0,
    "memory_per_gpu": 0,
    "memory_total": 0,
    "disk_per_gpu": 0,
    "disk_total": 0,
    "region": "text",
    "network_upload_speed": 0,
    "network_download_speed": 0,
    "up_time": 0,
    "online_rate": 0,
    "price": "text",
    "original_price": "text",
    "gpu_id": 0,
    "organization": "text",
    "driver_version": "text",
    "cuda_version": "text",
    "nvlink_status": false
  }
]

Authentication

Create Auth

POSThttps://api.netmind.ai/v1/rentgpu/auths/

Header parameters

Body

application/json

value*Value

The password of your SSH container.

Response

200422

Successful Response

Body

application/json

id*Id

Container authorization ID.

value*Value

The password of your SSH container in base64.

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/auths/', {
    method: 'POST',
    headers: {
      "Authorization": "text",
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      "value": "text"
    }),
});
const data = await response.json();

Response

200422

{
  "id": 0,
  "value": "text",
  "created_at": "2024-12-22T01:50:54.335Z"
}

Get Auth List

GEThttps://api.netmind.ai/v1/rentgpu/auths/

Query parameters

Header parameters

Response

200422

Successful Response

Body

application/json

id*Id

Container authorization ID.

value*Value

The password of your SSH container in base64.

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/auths/', {
    method: 'GET',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

[
  {
    "id": 0,
    "value": "text",
    "created_at": "2024-12-22T01:50:54.335Z"
  }
]

Get Auth

GEThttps://api.netmind.ai/v1/rentgpu/auths/{auth_id}

Path parameters

auth_id*Auth Id

The ID of the container authorization you want to get.

Header parameters

Response

200422

Successful Response

Body

application/json

id*Id

Container authorization ID.

value*Value

The password of your SSH container in base64.

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/auths/{auth_id}', {
    method: 'GET',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

{
  "id": 0,
  "value": "text",
  "created_at": "2024-12-22T01:50:54.335Z"
}

Images (Environment Template)

Create Custom Image

POSThttps://api.netmind.ai/v1/rentgpu/images/

Header parameters

Body

application/json

name*Name

The name of the image

descriptionDescription

The description of the image

image_name*Image Name

The name of the image, such as pytorch/pytorch or tensorflow/tensorflow.

image_tag*Image Tag

The version of the image, such as 1.8.0, 2.6.0 or latest.

image_label*Image Label

The label of the image, such as pytorch, tensorflow or unbuntu.

docker_usernameDocker Username

The username of the docker registry if it is private

docker_passwdDocker Passwd

The password of the docker registry if it is private

docker_registryDocker Registry

The docker registry if it is private, the default is https://index.docker.io/v1/

public_portPublic Port

Public port you want to expose from this container, it's optional

onstartOnstart

The command you want to run when the container starts, it is not required

optionsOptions

The options you want to pass to the container, only support --add-host, -e, -h, -w, it is not required

Response

200422

Successful Response

Body

application/json

nameName

The name of the image

descriptionDescription

The description of the image

image_name*Image Name

The name of the image, such as pytorch/pytorch or tensorflow/tensorflow.

image_tag*Image Tag

The version of the image, such as 1.8.0, 2.6.0 or latest.

image_label*Image Label

The label of the image, such as pytorch, tensorflow or unbuntu.

docker_usernameDocker Username

The username of the docker registry if it is private

docker_passwdDocker Passwd

The password of the docker registry if it is private

docker_registryDocker Registry

The docker registry if it is private, the default is https://index.docker.io/v1/

public_portPublic Port

Public port you want to expose from this container

onstartOnstart

The command you want to run when the container starts, it is not required

optionsOptions

The options you want to pass to the container, only support --add-host, -e, -h, -w, it is not required

image_typeall of

Image type you want to filter, the value can be OFFICIAL, PUBLIC, CUSTOM, default is OFFICIAL

id*Id

The id of the image

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/images/', {
    method: 'POST',
    headers: {
      "Authorization": "text",
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      "name": "text",
      "image_name": "text",
      "image_tag": "text",
      "image_label": "text"
    }),
});
const data = await response.json();

Response

200422

{
  "name": "text",
  "description": "text",
  "image_name": "text",
  "image_tag": "text",
  "image_label": "text",
  "docker_username": "text",
  "docker_passwd": "text",
  "docker_registry": "https://index.docker.io/v1/",
  "public_port": "text",
  "onstart": "text",
  "options": "text",
  "image_type": {},
  "id": 0,
  "created_at": "2024-12-22T01:50:54.335Z"
}

Get Image List

GEThttps://api.netmind.ai/v1/rentgpu/images/

Query parameters

Header parameters

Response

200422

Successful Response

Body

application/json

nameName

The name of the image

descriptionDescription

The description of the image

image_name*Image Name

The name of the image, such as pytorch/pytorch or tensorflow/tensorflow.

image_tag*Image Tag

The version of the image, such as 1.8.0, 2.6.0 or latest.

image_label*Image Label

The label of the image, such as pytorch, tensorflow or unbuntu.

docker_usernameDocker Username

The username of the docker registry if it is private

docker_passwdDocker Passwd

The password of the docker registry if it is private

docker_registryDocker Registry

The docker registry if it is private, the default is https://index.docker.io/v1/

public_portPublic Port

Public port you want to expose from this container

onstartOnstart

The command you want to run when the container starts, it is not required

optionsOptions

The options you want to pass to the container, only support --add-host, -e, -h, -w, it is not required

image_typeall of

Image type you want to filter, the value can be OFFICIAL, PUBLIC, CUSTOM, default is OFFICIAL

id*Id

The id of the image

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/images/', {
    method: 'GET',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

[
  {
    "name": "text",
    "description": "text",
    "image_name": "text",
    "image_tag": "text",
    "image_label": "text",
    "docker_username": "text",
    "docker_passwd": "text",
    "docker_registry": "https://index.docker.io/v1/",
    "public_port": "text",
    "onstart": "text",
    "options": "text",
    "image_type": {},
    "id": 0,
    "created_at": "2024-12-22T01:50:54.335Z"
  }
]

Get Image

GEThttps://api.netmind.ai/v1/rentgpu/images/{image_id}

Path parameters

image_id*Image Id

The id of the image you want to get

Header parameters

Response

200422

Successful Response

Body

application/json

nameName

The name of the image

descriptionDescription

The description of the image

image_name*Image Name

The name of the image, such as pytorch/pytorch or tensorflow/tensorflow.

image_tag*Image Tag

The version of the image, such as 1.8.0, 2.6.0 or latest.

image_label*Image Label

The label of the image, such as pytorch, tensorflow or unbuntu.

docker_usernameDocker Username

The username of the docker registry if it is private

docker_passwdDocker Passwd

The password of the docker registry if it is private

docker_registryDocker Registry

The docker registry if it is private, the default is https://index.docker.io/v1/

public_portPublic Port

Public port you want to expose from this container

onstartOnstart

The command you want to run when the container starts, it is not required

optionsOptions

The options you want to pass to the container, only support --add-host, -e, -h, -w, it is not required

image_typeall of

Image type you want to filter, the value can be OFFICIAL, PUBLIC, CUSTOM, default is OFFICIAL

id*Id

The id of the image

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/images/{image_id}', {
    method: 'GET',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

{
  "name": "text",
  "description": "text",
  "image_name": "text",
  "image_tag": "text",
  "image_label": "text",
  "docker_username": "text",
  "docker_passwd": "text",
  "docker_registry": "https://index.docker.io/v1/",
  "public_port": "text",
  "onstart": "text",
  "options": "text",
  "image_type": {},
  "id": 0,
  "created_at": "2024-12-22T01:50:54.335Z"
}

Container (Running Environment)

Create Container

POSThttps://api.netmind.ai/v1/rentgpu/containers/

Header parameters

Body

application/json

name*Name

Your container name.

auth_id*Auth Id

Auth id, You should create a container authorization first.

gpu*Gpu

GPU number you want to rent.

node_name*Node Name

Node name returned by the query machine interface.

image_template_id*Image Template Id

You can choose an image template or create a new one.

payment_type*all of

Payment type, an enum value, you can choose USD, NMT or CNY, mean what currency is used from your balance deducting fees.

Response

200422

Successful Response

Body

application/json

name*Name

Your container name.

auth_id*Auth Id

Auth id, You should create a container authorization first.

gpuGpu

GPU number you want to rent.

node_nameNode Name

Node name returned by the query machine interface.

image_template_idImage Template Id

You can choose an image template or create a new one.

enable_vscodeEnable Vscode

Enable vscode service.

enable_jupyterEnable Jupyter

Enable jupyter service.

cpuCpu

CPU number you rent.

disk_sizeDisk Size

Disk size you rent.

memoryMemory

Memory size you rent.

gpu_nameGpu Name

GPU name you rent, the mapping of id and name is NVIDIA_GeForce_RTX_3090
NVIDIA_GeForce_RTX_3090_Ti
NVIDIA_GeForce_RTX_4090
NVIDIA_A100_SXM4_80GB
NVIDIA_H100_SXM5_80GB
NVIDIA_A100_80GB_PCIe
NVIDIA_A100_PCIE_80GB
NVIDIA_A800_PCIe_40GB
NVIDIA_A100_SXM4_40GB
NVIDIA_A100_PCIE_40GB
NVIDIA_RTX_A6000
NVIDIA_Quadro_RTX_8000
NVIDIA_GeForce_RTX_4080
Tesla_V100_PCIE_32GB
Tesla_V100_SXM2_32GB
NVIDIA_Quadro_RTX_6000
NVIDIA_GeForce_RTX_3080
NVIDIA_GeForce_RTX_4070_Ti
Tesla_V100_PCIE_16GB
TITAN_RTX
Tesla_V100_SXM2_16GB
NVIDIA_GeForce_RTX_3070
TITAN_V
NVIDIA_GeForce_RTX_4060_Ti
NVIDIA_GeForce_RTX_2080_SUPER
NVIDIA_GeForce_RTX_2080_Ti
NVIDIA_GeForce_RTX_4060
NVIDIA_GeForce_RTX_2080
TITAN_Xp
NVIDIA_GeForce_RTX_2070_SUPER
NVIDIA_GeForce_GTX_1080_Ti
NVIDIA_GeForce_RTX_3060
TITAN_X_Pascal
NVIDIA_GeForce_RTX_2060_SUPER
NVIDIA_GeForce_RTX_2070
NVIDIA_GeForce_GTX_1070_Ti
NVIDIA_GeForce_RTX_3060_Laptop_GPU NVIDIA_GeForce_GTX_1080
NVIDIA_GeForce_GTX_1070
40 NVIDIA_GeForce_GTX_1660_Ti
41 NVIDIA_GeForce_GTX_1060_6GB
Tesla_M60
NVIDIA_H100_80GB_HBM3
NVIDIA_H100_PCIe
NVIDIA_GeForce_RTX_A6000
NVIDIA_RTX_6000_Ada_Generation
NVIDIA_ A800_PCIe_40GB
NVIDIA_GeForce_RTX_4080_SUPER

id*Id

Container ID

sshSsh

SSH connection command

status*all of

Container status, an enum value, the value is one of PENDING, RUNNING, PAUSED, OFFLINE, EXPIRED, NON_PAYMENT

exposed_serviceExposed Service

The url of custom service

vscode_serviceVscode Service

The url of vscode service

jupyter_serviceJupyter Service

The url of jupyter service

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/containers/', {
    method: 'POST',
    headers: {
      "Authorization": "text",
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      "name": "text",
      "auth_id": 0,
      "payment_type": {},
      "gpu": 1,
      "node_name": "text",
      "image_template_id": 0
    }),
});
const data = await response.json();

Response

200422

{
  "name": "text",
  "auth_id": 0,
  "gpu": 1,
  "node_name": "text",
  "image_template_id": 0,
  "enable_vscode": false,
  "enable_jupyter": false,
  "cpu": 0,
  "disk_size": 200,
  "memory": 0,
  "gpu_name": 0,
  "id": 0,
  "ssh": "text",
  "status": {},
  "exposed_service": "text",
  "vscode_service": "text",
  "jupyter_service": "text",
  "created_at": "2024-12-22T01:50:54.335Z"
}

Get Container List

GEThttps://api.netmind.ai/v1/rentgpu/containers/

Query parameters

Header parameters

Response

200422

Successful Response

Body

application/json

name*Name

Your container name.

auth_id*Auth Id

Auth id, You should create a container authorization first.

gpuGpu

GPU number you want to rent.

node_nameNode Name

Node name returned by the query machine interface.

image_template_idImage Template Id

You can choose an image template or create a new one.

enable_vscodeEnable Vscode

Enable vscode service.

enable_jupyterEnable Jupyter

Enable jupyter service.

cpuCpu

CPU number you rent.

disk_sizeDisk Size

Disk size you rent.

memoryMemory

Memory size you rent.

gpu_nameGpu Name

GPU name you rent, the mapping of id and name is NVIDIA_GeForce_RTX_3090
NVIDIA_GeForce_RTX_3090_Ti
NVIDIA_GeForce_RTX_4090
NVIDIA_A100_SXM4_80GB
NVIDIA_H100_SXM5_80GB
NVIDIA_A100_80GB_PCIe
NVIDIA_A100_PCIE_80GB
NVIDIA_A800_PCIe_40GB
NVIDIA_A100_SXM4_40GB
NVIDIA_A100_PCIE_40GB
NVIDIA_RTX_A6000
NVIDIA_Quadro_RTX_8000
NVIDIA_GeForce_RTX_4080
Tesla_V100_PCIE_32GB
Tesla_V100_SXM2_32GB
NVIDIA_Quadro_RTX_6000
NVIDIA_GeForce_RTX_3080
NVIDIA_GeForce_RTX_4070_Ti
Tesla_V100_PCIE_16GB
TITAN_RTX
Tesla_V100_SXM2_16GB
NVIDIA_GeForce_RTX_3070
TITAN_V
NVIDIA_GeForce_RTX_4060_Ti
NVIDIA_GeForce_RTX_2080_SUPER
NVIDIA_GeForce_RTX_2080_Ti
NVIDIA_GeForce_RTX_4060
NVIDIA_GeForce_RTX_2080
TITAN_Xp
NVIDIA_GeForce_RTX_2070_SUPER
NVIDIA_GeForce_GTX_1080_Ti
NVIDIA_GeForce_RTX_3060
TITAN_X_Pascal
NVIDIA_GeForce_RTX_2060_SUPER
NVIDIA_GeForce_RTX_2070
NVIDIA_GeForce_GTX_1070_Ti
NVIDIA_GeForce_RTX_3060_Laptop_GPU NVIDIA_GeForce_GTX_1080
NVIDIA_GeForce_GTX_1070
40 NVIDIA_GeForce_GTX_1660_Ti
41 NVIDIA_GeForce_GTX_1060_6GB
Tesla_M60
NVIDIA_H100_80GB_HBM3
NVIDIA_H100_PCIe
NVIDIA_GeForce_RTX_A6000
NVIDIA_RTX_6000_Ada_Generation
NVIDIA_ A800_PCIe_40GB
NVIDIA_GeForce_RTX_4080_SUPER

id*Id

Container ID

sshSsh

SSH connection command

status*all of

Container status, an enum value, the value is one of PENDING, RUNNING, PAUSED, OFFLINE, EXPIRED, NON_PAYMENT

exposed_serviceExposed Service

The url of custom service

vscode_serviceVscode Service

The url of vscode service

jupyter_serviceJupyter Service

The url of jupyter service

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/containers/', {
    method: 'GET',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

[
  {
    "name": "text",
    "auth_id": 0,
    "gpu": 1,
    "node_name": "text",
    "image_template_id": 0,
    "enable_vscode": false,
    "enable_jupyter": false,
    "cpu": 0,
    "disk_size": 200,
    "memory": 0,
    "gpu_name": 0,
    "id": 0,
    "ssh": "text",
    "status": {},
    "exposed_service": "text",
    "vscode_service": "text",
    "jupyter_service": "text",
    "created_at": "2024-12-22T01:50:54.335Z"
  }
]

Get Container

GEThttps://api.netmind.ai/v1/rentgpu/containers/{container_id}

Path parameters

container_id*Container Id

Container id you want to get

Header parameters

Response

200422

Successful Response

Body

application/json

name*Name

Your container name.

auth_id*Auth Id

Auth id, You should create a container authorization first.

gpuGpu

GPU number you want to rent.

node_nameNode Name

Node name returned by the query machine interface.

image_template_idImage Template Id

You can choose an image template or create a new one.

enable_vscodeEnable Vscode

Enable vscode service.

enable_jupyterEnable Jupyter

Enable jupyter service.

cpuCpu

CPU number you rent.

disk_sizeDisk Size

Disk size you rent.

memoryMemory

Memory size you rent.

gpu_nameGpu Name

GPU name you rent, the mapping of id and name is NVIDIA_GeForce_RTX_3090
NVIDIA_GeForce_RTX_3090_Ti
NVIDIA_GeForce_RTX_4090
NVIDIA_A100_SXM4_80GB
NVIDIA_H100_SXM5_80GB
NVIDIA_A100_80GB_PCIe
NVIDIA_A100_PCIE_80GB
NVIDIA_A800_PCIe_40GB
NVIDIA_A100_SXM4_40GB
NVIDIA_A100_PCIE_40GB
NVIDIA_RTX_A6000
NVIDIA_Quadro_RTX_8000
NVIDIA_GeForce_RTX_4080
Tesla_V100_PCIE_32GB
Tesla_V100_SXM2_32GB
NVIDIA_Quadro_RTX_6000
NVIDIA_GeForce_RTX_3080
NVIDIA_GeForce_RTX_4070_Ti
Tesla_V100_PCIE_16GB
TITAN_RTX
Tesla_V100_SXM2_16GB
NVIDIA_GeForce_RTX_3070
TITAN_V
NVIDIA_GeForce_RTX_4060_Ti
NVIDIA_GeForce_RTX_2080_SUPER
NVIDIA_GeForce_RTX_2080_Ti
NVIDIA_GeForce_RTX_4060
NVIDIA_GeForce_RTX_2080
TITAN_Xp
NVIDIA_GeForce_RTX_2070_SUPER
NVIDIA_GeForce_GTX_1080_Ti
NVIDIA_GeForce_RTX_3060
TITAN_X_Pascal
NVIDIA_GeForce_RTX_2060_SUPER
NVIDIA_GeForce_RTX_2070
NVIDIA_GeForce_GTX_1070_Ti
NVIDIA_GeForce_RTX_3060_Laptop_GPU NVIDIA_GeForce_GTX_1080
NVIDIA_GeForce_GTX_1070
40 NVIDIA_GeForce_GTX_1660_Ti
41 NVIDIA_GeForce_GTX_1060_6GB
Tesla_M60
NVIDIA_H100_80GB_HBM3
NVIDIA_H100_PCIe
NVIDIA_GeForce_RTX_A6000
NVIDIA_RTX_6000_Ada_Generation
NVIDIA_ A800_PCIe_40GB
NVIDIA_GeForce_RTX_4080_SUPER

id*Id

Container ID

sshSsh

SSH connection command

status*all of

Container status, an enum value, the value is one of PENDING, RUNNING, PAUSED, OFFLINE, EXPIRED, NON_PAYMENT

exposed_serviceExposed Service

The url of custom service

vscode_serviceVscode Service

The url of vscode service

jupyter_serviceJupyter Service

The url of jupyter service

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/containers/{container_id}', {
    method: 'GET',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

{
  "name": "text",
  "auth_id": 0,
  "gpu": 1,
  "node_name": "text",
  "image_template_id": 0,
  "enable_vscode": false,
  "enable_jupyter": false,
  "cpu": 0,
  "disk_size": 200,
  "memory": 0,
  "gpu_name": 0,
  "id": 0,
  "ssh": "text",
  "status": {},
  "exposed_service": "text",
  "vscode_service": "text",
  "jupyter_service": "text",
  "created_at": "2024-12-22T01:50:54.335Z"
}

Stop Container

POSThttps://api.netmind.ai/v1/rentgpu/containers/{container_id}/stop

Path parameters

container_id*Container Id

Container id you want to stop

Header parameters

Response

200422

Successful Response

Body

application/json

name*Name

Your container name.

auth_id*Auth Id

Auth id, You should create a container authorization first.

gpuGpu

GPU number you want to rent.

node_nameNode Name

Node name returned by the query machine interface.

image_template_idImage Template Id

You can choose an image template or create a new one.

enable_vscodeEnable Vscode

Enable vscode service.

enable_jupyterEnable Jupyter

Enable jupyter service.

cpuCpu

CPU number you rent.

disk_sizeDisk Size

Disk size you rent.

memoryMemory

Memory size you rent.

gpu_nameGpu Name

GPU name you rent, the mapping of id and name is NVIDIA_GeForce_RTX_3090
NVIDIA_GeForce_RTX_3090_Ti
NVIDIA_GeForce_RTX_4090
NVIDIA_A100_SXM4_80GB
NVIDIA_H100_SXM5_80GB
NVIDIA_A100_80GB_PCIe
NVIDIA_A100_PCIE_80GB
NVIDIA_A800_PCIe_40GB
NVIDIA_A100_SXM4_40GB
NVIDIA_A100_PCIE_40GB
NVIDIA_RTX_A6000
NVIDIA_Quadro_RTX_8000
NVIDIA_GeForce_RTX_4080
Tesla_V100_PCIE_32GB
Tesla_V100_SXM2_32GB
NVIDIA_Quadro_RTX_6000
NVIDIA_GeForce_RTX_3080
NVIDIA_GeForce_RTX_4070_Ti
Tesla_V100_PCIE_16GB
TITAN_RTX
Tesla_V100_SXM2_16GB
NVIDIA_GeForce_RTX_3070
TITAN_V
NVIDIA_GeForce_RTX_4060_Ti
NVIDIA_GeForce_RTX_2080_SUPER
NVIDIA_GeForce_RTX_2080_Ti
NVIDIA_GeForce_RTX_4060
NVIDIA_GeForce_RTX_2080
TITAN_Xp
NVIDIA_GeForce_RTX_2070_SUPER
NVIDIA_GeForce_GTX_1080_Ti
NVIDIA_GeForce_RTX_3060
TITAN_X_Pascal
NVIDIA_GeForce_RTX_2060_SUPER
NVIDIA_GeForce_RTX_2070
NVIDIA_GeForce_GTX_1070_Ti
NVIDIA_GeForce_RTX_3060_Laptop_GPU NVIDIA_GeForce_GTX_1080
NVIDIA_GeForce_GTX_1070
40 NVIDIA_GeForce_GTX_1660_Ti
41 NVIDIA_GeForce_GTX_1060_6GB
Tesla_M60
NVIDIA_H100_80GB_HBM3
NVIDIA_H100_PCIe
NVIDIA_GeForce_RTX_A6000
NVIDIA_RTX_6000_Ada_Generation
NVIDIA_ A800_PCIe_40GB
NVIDIA_GeForce_RTX_4080_SUPER

id*Id

Container ID

sshSsh

SSH connection command

status*all of

Container status, an enum value, the value is one of PENDING, RUNNING, PAUSED, OFFLINE, EXPIRED, NON_PAYMENT

exposed_serviceExposed Service

The url of custom service

vscode_serviceVscode Service

The url of vscode service

jupyter_serviceJupyter Service

The url of jupyter service

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/containers/{container_id}/stop', {
    method: 'POST',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

{
  "name": "text",
  "auth_id": 0,
  "gpu": 1,
  "node_name": "text",
  "image_template_id": 0,
  "enable_vscode": false,
  "enable_jupyter": false,
  "cpu": 0,
  "disk_size": 200,
  "memory": 0,
  "gpu_name": 0,
  "id": 0,
  "ssh": "text",
  "status": {},
  "exposed_service": "text",
  "vscode_service": "text",
  "jupyter_service": "text",
  "created_at": "2024-12-22T01:50:54.335Z"
}

Restart Container

POSThttps://api.netmind.ai/v1/rentgpu/containers/{container_id}/restart

Path parameters

container_id*Container Id

Container id you want to restart

Header parameters

Response

200422

Successful Response

Body

application/json

name*Name

Your container name.

auth_id*Auth Id

Auth id, You should create a container authorization first.

gpuGpu

GPU number you want to rent.

node_nameNode Name

Node name returned by the query machine interface.

image_template_idImage Template Id

You can choose an image template or create a new one.

enable_vscodeEnable Vscode

Enable vscode service.

enable_jupyterEnable Jupyter

Enable jupyter service.

cpuCpu

CPU number you rent.

disk_sizeDisk Size

Disk size you rent.

memoryMemory

Memory size you rent.

gpu_nameGpu Name

GPU name you rent, the mapping of id and name is NVIDIA_GeForce_RTX_3090
NVIDIA_GeForce_RTX_3090_Ti
NVIDIA_GeForce_RTX_4090
NVIDIA_A100_SXM4_80GB
NVIDIA_H100_SXM5_80GB
NVIDIA_A100_80GB_PCIe
NVIDIA_A100_PCIE_80GB
NVIDIA_A800_PCIe_40GB
NVIDIA_A100_SXM4_40GB
NVIDIA_A100_PCIE_40GB
NVIDIA_RTX_A6000
NVIDIA_Quadro_RTX_8000
NVIDIA_GeForce_RTX_4080
Tesla_V100_PCIE_32GB
Tesla_V100_SXM2_32GB
NVIDIA_Quadro_RTX_6000
NVIDIA_GeForce_RTX_3080
NVIDIA_GeForce_RTX_4070_Ti
Tesla_V100_PCIE_16GB
TITAN_RTX
Tesla_V100_SXM2_16GB
NVIDIA_GeForce_RTX_3070
TITAN_V
NVIDIA_GeForce_RTX_4060_Ti
NVIDIA_GeForce_RTX_2080_SUPER
NVIDIA_GeForce_RTX_2080_Ti
NVIDIA_GeForce_RTX_4060
NVIDIA_GeForce_RTX_2080
TITAN_Xp
NVIDIA_GeForce_RTX_2070_SUPER
NVIDIA_GeForce_GTX_1080_Ti
NVIDIA_GeForce_RTX_3060
TITAN_X_Pascal
NVIDIA_GeForce_RTX_2060_SUPER
NVIDIA_GeForce_RTX_2070
NVIDIA_GeForce_GTX_1070_Ti
NVIDIA_GeForce_RTX_3060_Laptop_GPU NVIDIA_GeForce_GTX_1080
NVIDIA_GeForce_GTX_1070
40 NVIDIA_GeForce_GTX_1660_Ti
41 NVIDIA_GeForce_GTX_1060_6GB
Tesla_M60
NVIDIA_H100_80GB_HBM3
NVIDIA_H100_PCIe
NVIDIA_GeForce_RTX_A6000
NVIDIA_RTX_6000_Ada_Generation
NVIDIA_ A800_PCIe_40GB
NVIDIA_GeForce_RTX_4080_SUPER

id*Id

Container ID

sshSsh

SSH connection command

status*all of

Container status, an enum value, the value is one of PENDING, RUNNING, PAUSED, OFFLINE, EXPIRED, NON_PAYMENT

exposed_serviceExposed Service

The url of custom service

vscode_serviceVscode Service

The url of vscode service

jupyter_serviceJupyter Service

The url of jupyter service

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/containers/{container_id}/restart', {
    method: 'POST',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

{
  "name": "text",
  "auth_id": 0,
  "gpu": 1,
  "node_name": "text",
  "image_template_id": 0,
  "enable_vscode": false,
  "enable_jupyter": false,
  "cpu": 0,
  "disk_size": 200,
  "memory": 0,
  "gpu_name": 0,
  "id": 0,
  "ssh": "text",
  "status": {},
  "exposed_service": "text",
  "vscode_service": "text",
  "jupyter_service": "text",
  "created_at": "2024-12-22T01:50:54.335Z"
}

Delete Container

DELETEhttps://api.netmind.ai/v1/rentgpu/containers/{container_id}

Path parameters

container_id*Container Id

Container id you want to delete

Header parameters

Response

200422

Successful Response

Body

application/json

name*Name

Your container name.

auth_id*Auth Id

Auth id, You should create a container authorization first.

gpuGpu

GPU number you want to rent.

node_nameNode Name

Node name returned by the query machine interface.

image_template_idImage Template Id

You can choose an image template or create a new one.

enable_vscodeEnable Vscode

Enable vscode service.

enable_jupyterEnable Jupyter

Enable jupyter service.

cpuCpu

CPU number you rent.

disk_sizeDisk Size

Disk size you rent.

memoryMemory

Memory size you rent.

gpu_nameGpu Name

GPU name you rent, the mapping of id and name is NVIDIA_GeForce_RTX_3090
NVIDIA_GeForce_RTX_3090_Ti
NVIDIA_GeForce_RTX_4090
NVIDIA_A100_SXM4_80GB
NVIDIA_H100_SXM5_80GB
NVIDIA_A100_80GB_PCIe
NVIDIA_A100_PCIE_80GB
NVIDIA_A800_PCIe_40GB
NVIDIA_A100_SXM4_40GB
NVIDIA_A100_PCIE_40GB
NVIDIA_RTX_A6000
NVIDIA_Quadro_RTX_8000
NVIDIA_GeForce_RTX_4080
Tesla_V100_PCIE_32GB
Tesla_V100_SXM2_32GB
NVIDIA_Quadro_RTX_6000
NVIDIA_GeForce_RTX_3080
NVIDIA_GeForce_RTX_4070_Ti
Tesla_V100_PCIE_16GB
TITAN_RTX
Tesla_V100_SXM2_16GB
NVIDIA_GeForce_RTX_3070
TITAN_V
NVIDIA_GeForce_RTX_4060_Ti
NVIDIA_GeForce_RTX_2080_SUPER
NVIDIA_GeForce_RTX_2080_Ti
NVIDIA_GeForce_RTX_4060
NVIDIA_GeForce_RTX_2080
TITAN_Xp
NVIDIA_GeForce_RTX_2070_SUPER
NVIDIA_GeForce_GTX_1080_Ti
NVIDIA_GeForce_RTX_3060
TITAN_X_Pascal
NVIDIA_GeForce_RTX_2060_SUPER
NVIDIA_GeForce_RTX_2070
NVIDIA_GeForce_GTX_1070_Ti
NVIDIA_GeForce_RTX_3060_Laptop_GPU NVIDIA_GeForce_GTX_1080
NVIDIA_GeForce_GTX_1070
40 NVIDIA_GeForce_GTX_1660_Ti
41 NVIDIA_GeForce_GTX_1060_6GB
Tesla_M60
NVIDIA_H100_80GB_HBM3
NVIDIA_H100_PCIe
NVIDIA_GeForce_RTX_A6000
NVIDIA_RTX_6000_Ada_Generation
NVIDIA_ A800_PCIe_40GB
NVIDIA_GeForce_RTX_4080_SUPER

id*Id

Container ID

sshSsh

SSH connection command

status*all of

Container status, an enum value, the value is one of PENDING, RUNNING, PAUSED, OFFLINE, EXPIRED, NON_PAYMENT

exposed_serviceExposed Service

The url of custom service

vscode_serviceVscode Service

The url of vscode service

jupyter_serviceJupyter Service

The url of jupyter service

created_atCreated At

Request

JavaScriptCurlPython

const response = await fetch('https://api.netmind.ai/v1/rentgpu/containers/{container_id}', {
    method: 'DELETE',
    headers: {
      "Authorization": "text"
    },
});
const data = await response.json();

Response

200422

{
  "name": "text",
  "auth_id": 0,
  "gpu": 1,
  "node_name": "text",
  "image_template_id": 0,
  "enable_vscode": false,
  "enable_jupyter": false,
  "cpu": 0,
  "disk_size": 200,
  "memory": 0,
  "gpu_name": 0,
  "id": 0,
  "ssh": "text",
  "status": {},
  "exposed_service": "text",
  "vscode_service": "text",
  "jupyter_service": "text",
  "created_at": "2024-12-22T01:50:54.335Z"
}