If you request a server for two hours, can you really use it for the full two hours?
While looking at @Acurast’s Deploy Agent, I noticed a detail that’s easy to overlook.
Acurast now supports paying with USDC on Base, allowing AI Agents to use phone Processors to deploy Ubuntu VPSs. However, by the time the interface returns the deployment details and SSH connection command, the Ubuntu environment on the phone may not be ready yet.
According to the team, matching with a Processor takes about 1–3 minutes, while the estimated time for the Ubuntu environment and SSH channel to be ready is around 2–5 minutes. These are only estimates, so you can’t simply add them together and treat the result as a fixed wait time. Acurast also provides a readiness check: only after it confirms ready: true is the SSH service actually ready.
There’s another detail I think is important. The time it takes to prepare the environment is included in the two-hour execution window you request. In other words, if you request two hours of compute, the time you can actually spend working over SSH may be shorter. How much shorter depends on when the environment is truly ready.
Having followed quite a few Web3 infrastructure projects over the years, I’m now more interested in how long it actually takes users to get started, and whether tasks can run reliably to completion. #Acurast has already made on-demand deployment of phone-based compute possible, and I’ll keep an eye on how it performs in practice. For people who need compute, a successful deployment is just the beginning—it only matters if they can put it to use smoothly.
https://hub.acurast.com/rebellion?ref=qqj0i8
While looking at @Acurast’s Deploy Agent, I noticed a detail that’s easy to overlook.
Acurast now supports paying with USDC on Base, allowing AI Agents to use phone Processors to deploy Ubuntu VPSs. However, by the time the interface returns the deployment details and SSH connection command, the Ubuntu environment on the phone may not be ready yet.
According to the team, matching with a Processor takes about 1–3 minutes, while the estimated time for the Ubuntu environment and SSH channel to be ready is around 2–5 minutes. These are only estimates, so you can’t simply add them together and treat the result as a fixed wait time. Acurast also provides a readiness check: only after it confirms ready: true is the SSH service actually ready.
There’s another detail I think is important. The time it takes to prepare the environment is included in the two-hour execution window you request. In other words, if you request two hours of compute, the time you can actually spend working over SSH may be shorter. How much shorter depends on when the environment is truly ready.
Having followed quite a few Web3 infrastructure projects over the years, I’m now more interested in how long it actually takes users to get started, and whether tasks can run reliably to completion. #Acurast has already made on-demand deployment of phone-based compute possible, and I’ll keep an eye on how it performs in practice. For people who need compute, a successful deployment is just the beginning—it only matters if they can put it to use smoothly.
https://hub.acurast.com/rebellion?ref=qqj0i8