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// Infrastructure

Dedicated servers, production-hardened and ready to run.

A Virtual Private Server gives you dedicated compute, full root access, and the freedom to run whatever your workload demands. We deploy, configure, secure, and monitor VPS instances for AI inference, application hosting, agents, and automation, hardened before they take a single request.

rfti://vps.provision
$ provision --profile hardened
os: Ubuntu LTS, auto-patched
access: SSH keys only
firewall: deny by default
services: dockerized, proxied
monitoring: metrics + alerts live
$ status ready for traffic
0
Fixed monthly cost, no usage surprises
0
Root access and data ownership
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Unhardened servers we put online
// Why A VPS

The sovereignty option: your stack, your box, your rules.

Between hyperscaler complexity and shared hosting limits sits the VPS: dedicated resources at a fixed price, full control, and no per-request billing. For the right workloads it is the most honest infrastructure there is.

Where a VPS wins

Workloads with steady, predictable load pay a serverless premium for elasticity they never use. On a VPS the same workload runs at a flat monthly price you can recite from memory.

For private AI inference, the case is even stronger: a GPU-equipped VPS runs open-source models behind an OpenAI-compatible API, so sensitive prompts and documents never leave infrastructure you control.

And for always-on agents and automations, a VPS provides the persistent home that serverless platforms make awkward: long-lived processes, webhook endpoints, schedulers, and bots that simply keep running.

What you get from our deployment

  • A hardened baseline: keys-only SSH, firewall, fail2ban, automatic patches
  • Dockerized services behind a reverse proxy with SSL
  • Monitoring and alerts: CPU, memory, disk, processes, endpoints
  • Backup and restore procedures, tested, not assumed
  • Documentation: every port, service, and credential accounted for
  • A handoff your team can operate, or a retainer if you would rather not
// What We Deploy

Six workload profiles we ship on VPS.

[ 01 ]

AI Inference Servers

GPU-equipped VPS running vLLM, llama.cpp, or other inference engines. Private LLM hosting with OpenAI-compatible APIs on your own infrastructure.

[ 02 ]

Application Hosting

Web apps, APIs, background workers, and scheduled jobs. Dockerized deployments with reverse proxy (Nginx/Caddy), SSL, and health monitoring.

[ 03 ]

Agent Infrastructure

Always-on servers for AI agents, bots, and autonomous systems. Persistent processes, webhook endpoints, and multi-channel connectivity.

[ 04 ]

Security Hardening

SSH key-only access, fail2ban, firewall configuration, automatic security updates, and encrypted storage. Every server is hardened before it takes traffic.

[ 05 ]

Monitoring & Alerts

CPU, memory, disk, and process monitoring with Prometheus and Grafana. Alerts fire to Slack, email, or webhook when thresholds are breached.

[ 06 ]

Networking

Tailscale mesh networking, VPN tunnels, private DNS, and reverse proxy configuration. Secure connectivity between your VPS and existing infrastructure.

UbuntuDockerNginxCaddyvLLMllama.cppPrometheusGrafanaTailscalefail2banUFW
// Hardening

The baseline every server clears before go-live.

An unhardened VPS on the public internet is scanned within minutes of boot. This checklist is not optional and it is not billable extra; it is simply how a server leaves our hands.

ControlDefault state on the internetState after our hardening
AccessPassword SSH, root login openKey-only SSH, root login disabled, per-operator accounts
NetworkAll ports answeringDeny-by-default firewall; only proxied service ports exposed
Brute forceUnlimited login attemptsfail2ban banning repeat offenders automatically
PatchingManual, therefore neverUnattended security updates with scheduled reboots
TransportPlain HTTPSSL everywhere via the reverse proxy, auto-renewed
VisibilityNo idea what the box is doingMetrics, logs, and alerts to your channel of choice
// Interactive

What class of server does your workload need?

Answer three questions and get an indicative sizing class. Real sizing follows measurement, but this gets the conversation started honestly.

Server Sizing Guide3-question estimate
Primary workload
Concurrent users or jobs
Data footprint
Indicative classes, not quotes. Final sizing is measured against your actual workload during deployment.
// Questions

VPS questions, answered straight.

Both, usually. Steady always-on workloads and private inference favor a VPS; spiky, elastic, or heavily managed workloads favor cloud services. We run hybrid setups routinely and will tell you honestly where each piece belongs.

You do, fully: it is your provider account and your keys. Our access exists only if you keep us on for operations, through named accounts you can revoke in one command.

Monitoring pages before users notice, documented restore procedures bring services back from tested backups, and for critical workloads we design standby capacity. Failure is planned for, not hoped against.

Yes. We containerize what you run today, rehearse the cutover, and move traffic with minimal downtime, leaving the old environment intact until the new one has proven itself.

// Get Started

Get a server that earns its keep.

Tell us the workload. We will spec, harden, and deploy the box it deserves.