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Documentation Index

Fetch the complete documentation index at: https://docs.ornn.com/llms.txt

Use this file to discover all available pages before exploring further.

Every bid you submit through the reservation flow is tracked under /portfolio/bids. The Bids page gives you a full view of your submitted and in-flight offers so you can monitor their progress and act on pending bids before they are reviewed.

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The Bids list

Navigate to /portfolio/bids to see all bids your tenant has submitted. Each row in the list shows:
  • GPU label and quantity — the GPU model and count you bid on
  • Operator and site — the provider and facility associated with the inventory
  • Term — the start and end dates you requested
  • Payment status — a tag indicating the current bid state
Clicking any row highlights it in the preview panel on the right side of the page. To open the full bid detail page, click View on the row.
If you have no bids yet, the page shows an empty state with a Reserve now link. Navigate to /reserve to browse inventory and submit a new bid.

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Bid statuses

StatusMeaning
PendingSubmitted and awaiting review by the Ornn team
AcceptedThe Ornn team approved your bid; a confirmed reservation has been created
RejectedThe bid was not approved; no reservation was created
CancelledYou cancelled the bid before it was reviewed

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Bid detail page

Click View on a bid row to open /portfolio/bids/[bidId]. The detail page shows the complete record for that bid, including:
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bid_price_per_gpu_hour
number
The price per GPU-hour you offered, in USD.
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gpu_count
integer
The number of GPUs you requested in the bid.
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min_gpu_count
integer
The minimum GPU count you stated you would accept, if partial acceptance was enabled. May be null if you did not set a minimum.
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start_date
date
The requested start date for the reservation term.
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end_date
date
The requested end date for the reservation term.
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status
string
The current bid status: pending, accepted, rejected, or cancelled.
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accepted_at
datetime
The timestamp when the bid was accepted. null if the bid has not been accepted.
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accepted_gpu_count
integer
The GPU count confirmed at acceptance. May differ from gpu_count if partial acceptance was applied. null if the bid has not been accepted.

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Updating a pending bid

You can change the terms of a bid as long as it still has pending status. From the bid detail page at /portfolio/bids/[bidId]:
1

Open the bid detail page

Navigate to /portfolio/bids and click View on the bid you want to update.
2

Edit the bid terms

Update any combination of the GPU count, minimum GPU count, start date, end date, or price per GPU-hour.
3

Save your changes

Submit the updated form. All fields are required when saving an update — you cannot partially update a bid.

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Cancelling a pending bid

To cancel a bid, open its detail page at /portfolio/bids/[bidId] and click Cancel bid. The bid status changes to cancelled immediately. Cancelled bids cannot be reopened.
You can only update or cancel a bid while it has pending status. Once a bid is accepted, rejected, or cancelled, no further changes are possible.

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What happens after acceptance

When the Ornn team accepts your bid, two things happen:
  1. The bid status changes to accepted and accepted_at is populated.
  2. A confirmed reservation is created for your tenant and appears in your Portfolio at /portfolio.
The confirmed reservation uses the accepted_gpu_count and the date range from the original bid. From that point on, you manage the reservation — not the bid.
Once a bid is accepted, it becomes a reservation and cannot be modified through the bids flow. Any changes to dates, GPU count, or pricing must go through the Ornn team.

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Secondary market

Ornn supports resale of confirmed reservations through a secondary market. If you hold a reservation you no longer need, you can list it for sale. Buyers can acquire the reservation at the listed ask price. Secondary transaction details are visible on the reservation detail page when a resale listing is active.

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What’s next

Portfolio overview

View your active reservations, check connection details, and monitor GPU utilization.

Track GPU usage and invoices

Understand GPU-hour utilization, recent job history, and how to find and pay your invoices.