pydo.dedicated_inferences.list_accelerators()
Generated on 3 Aug 2026
from pydo version
v0.40.0
Usage
client.dedicated_inferences.list_accelerators(
dedicated_inference_id="6b5c619c-359c-44ca-87e2-47e98170c01d",
per_page=20,
page=1,
slug=None,
)Description
List all accelerators (GPUs) in use by a Dedicated Inference instance. Send a
GET request to /v2/dedicated-inferences/{dedicated_inference_id}/accelerators.
Optionally filter by slug and use page/per_page for pagination.
Parameters
dedicated_inference_idstring requiredA unique identifier for a Dedicated Inference instance.
per_pageinteger optionalNumber of items returned per page
pageinteger optionalWhich 'page' of paginated results to return.
slugstring optionalFilter accelerators by GPU slug.
Pagination
This method returns paginated results. The response includes a
links.pages object with URLs for navigating between pages. To
retrieve the next page, parse the next URL and pass the page
parameter:
from urllib.parse import urlparse, parse_qs
resp = client.dedicated_inferences.list_accelerators(dedicated_inference_id="6b5c619c-359c-44ca-87e2-47e98170c01d", )
pages = resp.get("links", {}).get("pages", {})
while "next" in pages:
parsed = urlparse(pages["next"])
page = int(parse_qs(parsed.query)["page"][0])
resp = client.dedicated_inferences.list_accelerators(dedicated_inference_id="6b5c619c-359c-44ca-87e2-47e98170c01d", page=page)
pages = resp.get("links", {}).get("pages", {})Response Example
More Information
See /v2/dedicated-inferences/{dedicated_inference_id}/accelerators in the API reference for additional detail on responses, headers, parameters, and more.