Give your agent
a place to run.
From your first cloud server to a dependable AI agent. Choose the right setup, understand the real costs, and build a deployment you can maintain.
OFFICIAL SOURCES · HONEST LIMITS · NO INVENTED BENCHMARKS
ILLUSTRATIVE ARCHITECTURE, NOT A LIVE SERVICE STATUS.
A clearer path to your first deploy.
Where should your AI agent run?
Choose between an API-backed agent server and self-hosted inference by examining workload, data boundaries, hardware, and operational responsibility.
The real cost of running an AI agent
Build a useful operating budget beyond the server price: model requests, retries, storage, backups, egress, and the resources that keep billing while idle.
An operations checklist for an agent with real tools
Define action boundaries, protect secrets, preserve useful logs, and prepare a recoverable deployment before granting an agent access to real systems.
The server price is only the beginning.
Put compute, model APIs, storage, and setup in one place. Build a 30- and 90-day budget with your own numbers.
Open the cost plannerLess hype. More things you can check.
A useful deployment guide explains who it’s for, what it costs, where the boundaries are, and how to recover when something breaks.
Sources you can follow
Official documentation, dated checks, and a clear line between facts and our recommendations.
Limits you can see
This first edition is documentation-based. We don’t call unexecuted procedures tested.
Decisions that stay yours
Transparent affiliate links. No unnecessary resources just to make a referral.