v1

latestOpenAPI 3.0.32026-07-133733150.4 KB
pods

List Pods

Returns a list of Pods.

get/pods

Query parameters

computeType'GPU' | 'CPU'

Filter to only GPU or only CPU Pods.

Example:CPU
cpuFlavorIdstring[]

Filter to CPU Pods with any of the listed CPU flavors.

[
  "cpu3c",
  "cpu5g"
]
dataCenterIdstring[]

Filter to Pods located in any of the provided Runpod data centers.

[
  "EU-RO-1"
]
desiredStatus'RUNNING' | 'EXITED' | 'TERMINATED'

Filter to Pods currently in the provided state.

Example:RUNNING
endpointIdstring

Filter to workers on the provided Serverless endpoint (note that endpoint workers are not included in the response by default, set includeWorkers to true to include them).

gpuTypeIdstring[]

Filter to Pods with any of the listed GPU types attached.

[
  "NVIDIA GeForce RTX 4090",
  "NVIDIA RTX A5000"
]
idstring

Filter to a specific Pod.

Example:xedezhzb9la3ye
imageNamestring

Filter to Pods created with the provided image.

Example:runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
includeMachineboolean

Include information about the machine the Pod is running on.

Example:true
includeNetworkVolumeboolean

Include information about the network volume attached to the returned Pod, if any.

Example:true
includeSavingsPlansboolean

Include information about the savings plans applied to the Pod.

Example:true
includeTemplateboolean

Include information about the template the Pod uses, if any.

Example:true
includeWorkersboolean

Set to true to also list Pods which are Serverless workers.

Example:true
namestring

Filter to Pods with the provided name.

networkVolumeIdstring

Filter to Pods with the provided network volume attached.

Example:agv6w2qcg7
templateIdstring

Filter to Pods created from the provided template.

Example:30zmvf89kd

Response

Successful operation.

adjustedCostPerHrnumber

The effective cost in Runpod credits per hour of running a Pod, adjusted by active Savings Plans.

aiApiIdstring

Synonym for endpointId (legacy name).

consumerUserIdstring

A unique string identifying the Runpod user who rents a Pod.

containerDiskInGbinteger

The amount of disk space, in gigabytes (GB), to allocate on the container disk for a Pod. The data on the container disk is wiped when the Pod restarts. To persist data across Pod restarts, set volumeInGb to configure the Pod network volume.

containerRegistryAuthIdstring

If a Pod is created with a container registry auth, the unique string identifying that container registry auth.

costPerHrnumber

The cost in Runpod credits per hour of running a Pod. Note that the actual cost may be lower if Savings Plans are applied.

cpuFlavorIdstring

If the Pod is a CPU Pod, the unique string identifying the CPU flavor the Pod is running on.

desiredStatus'RUNNING' | 'EXITED' | 'TERMINATED'

The current expected status of a Pod.

dockerEntrypointstring[]

If specified, overrides the ENTRYPOINT for the Docker image run on the created Pod. If [], uses the ENTRYPOINT defined in the image.

dockerStartCmdstring[]

If specified, overrides the start CMD for the Docker image run on the created Pod. If [], uses the start CMD defined in the image.

endpointIdstring

If the Pod is a Serverless worker, a unique string identifying the associated endpoint.

envobject
idstring

A unique string identifying a Pod.

imagestring

The image tag for the container run on a Pod.

interruptibleboolean

Describes how a Pod is rented. An interruptible Pod can be rented at a lower cost but can be stopped at any time to free up resources for another Pod. A reserved Pod is rented at a higher cost but runs until it exits or is manually stopped.

lastStartedAtstring

The UTC timestamp when a Pod was last started.

lastStatusChangestring

A string describing the last lifecycle event on a Pod.

lockedboolean

Set to true to lock a Pod. Locking a Pod disables stopping or resetting the Pod.

machineIdstring

A unique string identifying the host machine a Pod is running on.

memoryInGbnumber

The amount of RAM, in gigabytes (GB), attached to a Pod.

namestring

A user-defined name for the created Pod. The name does not need to be unique.

portMappingsobject nullable

A mapping of internal ports to public ports on a Pod. For example, { "22": 10341 } means that port 22 on the Pod is mapped to port 10341 and is publicly accessible at [public ip]:10341. If the Pod is still initializing, this mapping is not yet determined and will be empty.

portsstring[]

A list of ports exposed on a Pod. Each port is formatted as [port number]/[protocol]. Protocol can be either http or tcp.

publicIpstring ipv4 nullable

The public IP address of a Pod. If the Pod is still initializing, this IP is not yet determined and will be empty.

slsVersioninteger

If the Pod is a Serverless worker, the version of the associated endpoint (see Endpoint Version).

templateIdstring

If a Pod is created with a template, the unique string identifying that template.

vcpuCountnumber

The number of virtual CPUs attached to a Pod.

volumeEncryptedboolean

Set to true if the local network volume of a Pod is encrypted. Can only be set when creating a Pod.

volumeInGbinteger

The amount of disk space, in gigabytes (GB), to allocate on the Pod volume for a Pod. The data on the Pod volume is persisted across Pod restarts. To persist data so that future Pods can access it, create a network volume and set networkVolumeId to attach it to the Pod.

volumeMountPathstring

If either a Pod volume or a network volume is attached to a Pod, the absolute path where the network volume is mounted in the filesystem.

Example response

[
  {
    "adjustedCostPerHr": 0.69,
    "consumerUserId": "user_2PyTJrLzeuwfZilRZ7JhCQDuSqo",
    "containerDiskInGb": 50,
    "containerRegistryAuthId": "clzdaifot0001l90809257ynb",
    "cpuFlavorId": "cpu3c",
    "env": {
      "ENV_VAR": "value"
    },
    "gpu": {
      "count": 1
    },
    "id": "xedezhzb9la3ye",
    "image": "runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04",
    "lastStartedAt": "2024-07-12T19:14:40.144Z",
    "lastStatusChange": "Rented by User: Fri Jul 12 2024 15:14:40 GMT-0400 (Eastern Daylight Time)",
    "machine": {
      "gpuType": {
        "count": 1
      }
    },
    "machineId": "s194cr8pls2z",
    "memoryInGb": 62,
    "networkVolume": {
      "id": "agv6w2qcg7",
      "name": "my network volume",
      "size": 50,
      "dataCenterId": "EU-RO-1"
    },
    "portMappings": {
      "22": 10341
    },
    "ports": [
      "8888/http",
      "22/tcp"
    ],
    "publicIp": "100.65.0.119",
    "savingsPlans": [
      {
        "costPerHr": 0.21,
        "endTime": "2024-07-12T19:14:40.144Z",
        "gpuTypeId": "NVIDIA GeForce RTX 4090",
        "id": "clkrb4qci0000mb09c7sualzo",
        "podId": "xedezhzb9la3ye",
        "startTime": "2024-05-12T19:14:40.144Z"
      }
    ],
    "vcpuCount": 24,
    "volumeInGb": 20,
    "volumeMountPath": "/workspace"
  }
]