Questions Before You Buy
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Contact UsIs the GPU shared with other customers?
The VRAM and the slice of the card allocated to your plan are yours for as long as the server exists — they are not oversubscribed. On the smaller plans you are using a partition of a physical card rather than the whole card, which is why they cost a fraction of the price. The plan table states exactly what each one includes.
Can I add a GPU to a server I already have?
No, and it is worth being clear about why. A GPU is part of the machine a plan deploys, not an accessory that can be attached afterwards, and our provider offers no operation to add one to a running server. Moving an existing VPS onto a GPU plan is a new deployment and a migration rather than an upgrade.
If that is what you need, take a snapshot of your current server, deploy the GPU plan, and move your data across.
What does an hour actually cost me?
The rate shown on each plan is per hour, and you are charged for whole hours the server exists. A GPU server left running for a full month costs roughly 730 times the hourly rate. If you only need it for a training run or a render, you only pay for that.
The invoice arrives after the period, listing the hours recorded.
Do I pay anything when I place the order?
No. Because these plans are billed for the hours you use, there is nothing to collect up front. You put a card on file to authorise the order, and it is charged when the invoice for your actual usage is raised.
What happens if I forget and leave it running?
It keeps billing, because it keeps existing and keeps costing us. There is no automatic cut-off. If you are running something expensive, destroy the server when the job finishes rather than powering it off, and take a snapshot first if you want to come back to the same disk.
Which drivers and software are installed?
You choose the operating system at checkout and get a clean server with full root access. Installing CUDA, drivers and your own frameworks is yours to do, which means you get the versions your code actually needs rather than whatever was baked into an image.
Can I get more GPU later?
You can deploy a larger GPU plan at any time, but not resize an existing GPU server into a different card — the machine is built around the hardware it has. Plan a migration rather than an upgrade, and snapshot before you move.