AI Agentic Coding Server
A dedicated machine built to run coding agents around the clock. Start long agent runs, run several in parallel, and let them build and test while you sleep — on fast CPU with no GPU required.
AI coding agents like Claude Code, Codex, and Cursor do their thinking in the cloud — the model runs on the provider's API — but the agent loop, your code, and every build and test it runs need to live somewhere. A dedicated machine is that somewhere: always on so agents can work unattended, fast on single-thread so iterations and compiles fly, and entirely yours so you can run as many sessions as the hardware allows, with no GPU in sight.
Run agents 24/7
Kick off long agent runs and let them keep editing, building, and testing while you are away — the box never sleeps.
Parallel agent sessions
Run several agents or worktrees at once, each with its own workspace, limited only by the hardware you pick.
Sandboxed & isolated
A machine that is entirely yours, with containers, restricted users, a per-IP firewall, and DDoS protection to keep agent execution contained.
No GPU tax
The models run in the cloud API, so you pay for fast CPU and RAM — what the agent loop actually needs — not idle GPUs.
Runs the coding agents you already use
The models run in each provider's cloud API — the machine runs the agent, your code, and the tools it calls. No GPU required.
Claude Code
Anthropic's terminal coding agent — run long sessions and let it edit, build, and test unattended.
OpenAI Codex CLI
Drive OpenAI's coding CLI from the terminal with full access to your repo and toolchain.
Cursor
Use Cursor's background agents against a persistent, always-on remote workspace.
Aider
Pair-program in the terminal with your Git repo, running as long as the task needs.
Cline
The autonomous coding agent with your project always on and reachable.
OpenHands
Self-hosted agentic development that thrives on an always-on dedicated box.
Why dedicated hardware for this
Shared hosting and noisy-neighbour VPS plans compromise on exactly the things this workload needs. A whole machine removes those compromises.
What to look for in a machine
A few things worth weighing when you pick a configuration for this workload.
CPU single-thread speed
Agent iteration, compiles, and test cycles are largely single-thread bound, so clock speed matters most.
Memory for parallel agents
Running several agent sessions alongside language servers and containers wants generous RAM.
Fast NVMe storage
Repos, build artifacts, and container images churn a lot of IO; NVMe keeps agents moving.
Dedicated Server Management Panel
A powerful self-service management panel that puts you in full control of your dedicated server hardware
One-Click OS Reinstall
Reinstall your operating system in minutes. Choose from AlmaLinux, Debian, Ubuntu, Rocky Linux, Proxmox VE, and more — all available on demand.
Statistics & Monitoring
Real-time traffic, CPU, and resource usage statistics. Keep tabs on your server health with detailed graphs and activity logs.
Rescue & Recovery
Boot into rescue mode when you need it. Recover from misconfigurations or locked-out systems without waiting on support.
Power Controls
Start, stop, restart, and power cycle your server remotely. Full IPMI-level power management from your browser.
The Best DDoS Protection
Always ActiveAll services come with comprehensive L4 and L7 DDoS protection powered by Cosmic Global Networks, ensuring your infrastructure stays secure and available 24/7.
Frequently Asked Questions
No. Tools like Claude Code, Codex, and Cursor send prompts to their provider's cloud API, where the model runs. Your machine runs the agent, edits your code, and executes builds and tests — work that wants a fast CPU, not a GPU.
Yes. Because the machine is always on, you can start a long agent run, close your laptop, and pick the results up later. Sessions survive disconnects.
Any tool that runs on Linux — Claude Code, OpenAI Codex CLI, Cursor, Aider, Cline, and OpenHands all work. With full root you can install whatever agent or MCP server you prefer.
The machine is dedicated to you and isolated from other tenants. You can further sandbox agents inside containers or restricted users, and the per-IP firewall and DDoS protection keep the box locked down.
Yes. It is your machine end to end — install any CLI, runtime, or MCP server and configure the environment however your workflow needs.
Related use cases
Remote Dev Environment
A dedicated, always-on machine you code on remotely — fast compiles, persistent sessions, and full root over SSH.
App Platform (Coolify / Dokploy)
Self-host Coolify, Dokploy, or Docker and run your own Heroku-style platform on a dedicated machine.
Virtualization & Proxmox
Run Proxmox VE, VMs, and containers on bare metal — your own private cloud with full root control.
Ready to build it?
Pick a dedicated machine sized for the job, or tell our team what you are running and we will recommend the right hardware.