Reserve datacenter GPUs without a down payment, put your own capacity to work for one buyer, or run the Paralon engine on your own hardware. Access, verification, metering, payments and invoicing are ours to run.
Owner
Datacenter GPU servers
connected with one command
Paralon
the layer the deal runs on
Buyer
Your workload
pays only for the minutes it uses
Two ways to work with us
Capacity through us, or Paralon inside your walls
Datacenter GPUs reserved for you, paid by the minute
For owners with capacity, buyers who need it, and brokers who bring them together. The owner connects the machines, we verify and reserve them for one buyer, the buyer pays as it uses them, and the invoicing on both sides runs through us.
- No down payment
- Reserved for one entity
- Verified by measurement
- Invoiced on both sides
The Paralon engine on your own infrastructure
For organisations whose data cannot leave their network. GPU fleet management, an OpenAI-compatible API, team controls and monitoring, deployed on your servers.
- Data stays on your network
- No Kubernetes
- NVIDIA and Apple Silicon
- Team access and quotas
What it stands on
Built on what already runs
Both offers use the platform behind our public GPU rentals and inference API, measured and billed the same way.
One command per server
An agent that reaches us over an outbound tunnel. No inbound ports, no public IP.
Every card measured
Memory bandwidth and compute, before a GPU serves anything, and again after a reboot or a driver change.
Billed to the minute
From prepaid credits. If a node stops answering, billing stops after five minutes.
Isolated workloads
Each rental runs in its own container, cut off from the owner's private networks.
Payments and invoices
Card or USDC and USDT on Solana in, earnings out, and the invoices on both sides.
Run in production
The same platform that serves our own GPU rentals and inference API every day.