## Delete

`gpu_droplets.load_balancers.delete(strlb_id)`

**delete** `/v2/load_balancers/{lb_id}`

To delete a load balancer instance, disassociating any Droplets assigned to it
and removing it from your account, send a DELETE request to
`/v2/load_balancers/$LOAD_BALANCER_ID`.

A successful request will receive a 204 status code with no body in response.
This indicates that the request was processed successfully.

### Parameters

- **lb\_id:** `str`

### Example

```python
from do_gradientai import GradientAI

client = GradientAI()
client.gpu_droplets.load_balancers.delete(
    "lb_id",
)
```