> For the complete documentation index, see [llms.txt](https://docs.yottalabs.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.yottalabs.ai/api-and-sdk/api-guides/pods.md).

# Pods

#### Create Pod

```bash
POST /v2/pods
```

**Request Body:**

```json
{
  "name": "my-pod",
  "regions": ["us-east-1", "us-west-1"],
  "image": "pytorch/pytorch:2.0.0-cuda11.7-cudnn8-runtime",
  "containerRegistryAuthId": 123,
  "gpuType": "NVIDIA_RTX_4090_24G",
  "gpuCount": 1,
  "minSingleCardVramInGb": 24,
  "minSingleCardRamInGb": 32,
  "minSingleCardVcpu": 8,
  "containerVolumeInGb": 50,
  "persistentVolumeInGb": 100,
  "persistentMountPath": "/mnt/data",
  "initializationCommand": "pip install -r requirements.txt",
  "environmentVars": [
    { "key": "API_KEY", "value": "secret" }
  ],
  "expose": [
    { "port": 8080, "protocol": "http" }
  ],
  "persistentVolumes": [
    {
      "volumeId": 123,
      "mountPath": "/mnt/volume",
      "needBackup": false
    }
  ]
}
```

| FIELD                   | TYPE    | REQUIRED | DESCRIPTION                                           |
| ----------------------- | ------- | -------- | ----------------------------------------------------- |
| regions                 | set     | No       | Acceptable region codes for scheduling                |
| name                    | string  | Yes      | Pod name (1-255 chars)                                |
| image                   | string  | Yes      | Docker image                                          |
| imageRegistry           | string  | No       | Docker registry URL (default: Docker Hub)             |
| containerRegistryAuthId | long    | No       | Container registry credential ID (for private images) |
| imagePublicType         | string  | No       | Image type: `PUBLIC` or `PRIVATE` (default: `PUBLIC`) |
| resourceType            | string  | No       | Resource type: `GPU` or `CPU` (default: `GPU`)        |
| gpuType                 | string  | Yes      | GPU type (e.g., "NVIDIA\_RTX\_4090\_24G")             |
| gpuCount                | integer | Yes      | Number of GPUs (must be power of 2)                   |
| minSingleCardVramInGb   | integer | No       | Minimum single card VRAM in GB                        |
| minSingleCardRamInGb    | integer | No       | Minimum single card RAM in GB                         |
| minSingleCardVcpu       | integer | No       | Minimum single card vCPU count                        |
| shmInGb                 | integer | No       | Shared memory size in GB                              |
| containerVolumeInGb     | integer | No       | Container volume size in GB                           |
| persistentVolumeInGb    | integer | No       | Persistent volume size in GB                          |
| persistentMountPath     | string  | No       | Persistent volume mount path                          |
| initializationCommand   | string  | No       | Initialization command to run on container start      |
| environmentVars         | array   | No       | Environment variables                                 |
| expose                  | array   | No       | Ports to expose                                       |
| persistentVolumes       | array   | No       | Persistent volumes configuration                      |

**Private Image Authentication:**

For private images, provide either:

1. `containerRegistryAuthId` - Reference to stored credential (recommended)
2. Both `imageRegistryUsername` and `imageRegistryPassword` - Direct credentials (deprecated, use `containerRegistryAuthId` instead)

**Response:**

```json
{
  "message": "success",
  "code": 10000,
  "data": {
    "id": 789,
    "name": "my-pod",
    "image": "pytorch/pytorch:2.0.0-cuda11.7-cudnn8-runtime",
    "imageRegistry": "https://index.docker.io/v1/",
    "gpuType": "NVIDIA_RTX_4090_24G",
    "gpuDisplayName": "RTX 4090",
    "gpuCount": 1,
    "status": "RUNNING",
    "createdAt": 1705306200000,
    "sshCmd": "ssh root@pod-ip -p 10022"
  }
}
```

#### Get Pod by ID

```bash
GET /v2/pods/{id}
```

**Response:** Same as create

#### List Pods

```bash
GET /v2/pods
```

**Query Parameters:**

* `regionList` - Filter by regions (comma-separated)
* `statusList` - Filter by status codes (comma-separated)

**Response:**

```json
{
  "message": "success",
  "code": 10000,
  "data": [ ... ]
}
```

#### Delete Pod

```bash
DELETE /v2/pods/{id}
```

#### Pod Actions

```bash
POST /v2/pods/{id}/pause
POST /v2/pods/{id}/resume
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.yottalabs.ai/api-and-sdk/api-guides/pods.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
