Gpu compute for AI agents
Run models and larger processing jobs on a GPU without managing a cluster.
What it's for
Get a GPU for one job without provisioning anything.
Run inference, batch a transform, or execute a heavy script.
Start it, run commands, check status, terminate — all from the conversation.
For work too heavy for an ordinary code sandbox.
How to ask your agent
Connect Vaaya, then just say it in plain language. For example:
❯Use Vaaya to run this inference script on a GPU and give me the output.
❯Use Vaaya to batch-process these files on a GPU and shut it down after.
What you get back
{
"sandbox_id": "sb_modal_71e2",
"status": "succeeded",
"stdout": "processed 1,240 rows in 38s"
}
Pricing
1¢ per sandbox command, plus the GPU time the job actually uses. Charges are shown in cents and recorded in your transaction history. Set a maximum cost for each call. Failed calls are not charged.
Try it with your agent.
Connect Vaaya and describe what you want to do. Your agent can find a suitable service and call it within your budget.
npx @vaaya/mcp install