GPU & AI
Sell every GPU hour you own.
Your accelerator racks become a GPU cloud. Customers take the capacity they need, you decide how it is sold, and every hour lands on an invoice.
| Item | Quantity | Rate | Amount |
|---|---|---|---|
| GPU hours | 1,284.0 h | €2.10 | €2,696.40 |
| Storage | 4.0 TB | €18.00 | €72.00 |
| Total | €2,768.40 |
Counted, priced, invoiced.
- 01
Each customer sees only their share
Capacity is counted per customer, so every team works in its own share and sees its own hours.
- 02
Shared, reserved or dedicated
You choose how accelerators are sold and at which tariff. Customers pick the model that fits their workload.
- SharedMany customers, one pool, billed by the hour.
- ReservedCapacity held for one customer for an agreed time.
- DedicatedWhole machines reserved for one customer.
- 03
Every accelerator hour is billed
The hours arrive on the invoice as one clear line, priced the way you set.
- 04
Ready for EU AI Factories
Funded capacity needs fair access for startups, SMEs and research groups. LayerOne gives the facility a portal, allocations and usage records under its own brand.
Start a consortium conversation
- GPU hours on one customer’s September invoice
- 1,284
- ways to sell a GPU: shared, reserved, dedicated
- 3
What your GPUs could earn as a cloud.
Enter the accelerators you own, the share of hours you expect to sell and your price per hour. The estimate uses your inputs alone.
Turn your accelerators into a GPU cloud.
A briefing maps LayerOne to your GPU racks, your customers and the way you want to sell capacity.