ai vps · tampa, fl · us-east
An AI Agent computer that never sleeps
79 AI stacks pre-installed. Live in about 10 minutes. Full root on your own KVM box — no queues, no per-seat fees, no weekend setup. Your agents keep working while you don't.
from $5.75/mo · cancel anytime · 2 TB traffic included · Tampa, FL (US-East)
79
AI stacks pre-installed
~10 min
from deploy to SSH
1–16 vCPU
1–64 GB · resize in place
2 TB
traffic · DDoS protection
immersive simulation
Watch a box run for a day
A 16-second simulated walkthrough — the 02:00 laptop death, the one-command deploy, and the dashboard that never sleeps. Rendered in-app with Remotion; every number matches the sponsor's promo.
simulated ad · real specs from the sponsor's promo page · powered by xShredo
the problem
The free lunch always runs out
Every “easy” way to run AI around the clock gives the compute back right when your agent needs it most.
01
Colab cuts you off mid-run
Sessions expire. GPUs waitlist. Limits tighten. Your overnight training job is somebody else's scheduling problem.
02
SaaS AI bills per seat — and reads your data
Rate limits, content filters, someone else's roadmap. Every seat is a meter running, and the logs live on their servers.
03
A DIY cloud VM is a weekend in the terminal
Dockerfiles, drivers, firewalls — before the fun part. Then you get to keep it all patched, forever.
This is the purpose-built answer.
A server made for one job: running your AI stack — pre-built, pre-secured, always on.
the machine
Full root on a box that just works
Not a shared notebook, not a locked SaaS tenant — a KVM virtual machine of your own, imaged by people who run AI stacks for a living.
pick · deploy · done
Working app in 5–10 minutes
Choose from 79 pre-built stacks — the image already has everything installed and wired. You SSH into a running app, not debug apt at 1 AM.
full root · full privacy
Your KVM, your rules
Pull any model, change any config, install anything. Models, chats and vectors stay on your box — no shared inference, no content filters.
scale in place
Grow without reinstalling
Start small at 1 vCPU / 1 GB. Resize in place up to 16 vCPU / 64 GB and 1 TB of replicated Ceph NVMe — stack and data stay exactly where they are.
79 stacks · tap to deploy
Pick the job, not the plumbing
One image per stack, maintained for you. Every plan is the same machine: 1–16 vCPU, 1–64 GB RAM, 50 GB–1 TB NVMe, 2 TB traffic.
llm serving
Ollama + Open WebUI
The classic local-LLM pair: pull any model, chat from any browser. Your private ChatGPT.
deploy this stackimage & vision
ComfyUI
Node-based Stable Diffusion pipelines on your own box. No queues, no content filters.
deploy this stackagents & automation
n8n
Self-hosted workflow automation with AI nodes — wire your stack together without SaaS fees.
deploy this stackcoding agents
OpenHands
The open coding agent — a full dev environment where your repos keep your rules.
deploy this stackvector dbs
Qdrant
The vector database your RAG stack deserves — private, fast, yours.
deploy this stackvoice & speech
Whisper
Batch-transcribe audio on dedicated cores. Your audio never leaves your box.
deploy this stackdev & notebooks
Jupyter PyTorch
PyTorch notebooks on dedicated cores — train and experiment without Colab limits.
deploy this stackone command
Ditch the weekend setup
One command in the portal — the stack, the service and the firewall rule come back done.
$ xshredo deploy ollama-open-webui --size m → provisioning KVM VM in TPA01 … done (42s) → mounting 200 GB ceph-nvme … done (3s) → installing ollama · open-webui … pre-built → opening firewall 11434/3000 … done (1s) ✓ live in 7m 42s — http://10.0.0.14:3000 $ ssh root@your-box # full root from the first boot
always on · always working
Your agents do not sleep — neither does the box
No idle logout, no expired session, no cold start at 3 AM. Here is what one ordinary Tuesday looks like on a 24x7 Agent box.
Whisper
overnight batch
42 meetings · no issues
ComfyUI
render queue
312 images · 02:14 AM
n8n
inbox triage
ran 9:14 AM · no issues
LibreChat
team usage
28 chats today
Qdrant
doc sync
1,204 vectors upserted
OpenHands
refactor task
PR opened · awaiting you
same money · different outcome
What $5–$20 a month buys
The same budget goes three very different directions — and only one of them keeps your agents running overnight.
| what you get | SaaS AI subscription | DIY cloud VM | xShredo AI VPS |
|---|---|---|---|
| What it is | Someone else's server, their rules | A blank box you configure | A purpose-built AI server |
| Price | $20–$200/mo, per seat | $5–$80/mo + your weekend | from $5.75/mo, everything in |
| Setup | Instant — but locked down | A weekend in the terminal | 5–10 minutes, pre-built image |
| Privacy | Your data, their roadmap | Yours — if you harden it | Yours: full root, no telemetry |
| Limits | Rate limits, queues, filters | You manage everything | 16 vCPU · 64 GB · 1 TB ceiling |
| Runs while you sleep | If you keep paying | If you set it up | Yes — 2N power, our racks |
launch pricing is live
One price floor. Every stack.
No per-seat fees, no surprise egress bills, no meter running while your agent thinks.
from
$5.75/mo
Everything included. Every plan is the same machine — resize up to 16 vCPU · 64 GB · 1 TB NVMe whenever you outgrow it.
included
- KVM VM with full root
- 1–16 vCPU · 1–64 GB RAM
- 50 GB–1 TB replicated Ceph NVMe
- 2 TB traffic included
- DDoS protection · snapshots · VNC console
what you pay later
- Nothing, if the base box fits.
- A resize, if your models grow.
- Extra traffic only if you go viral.
what you are not paying for
- Per-seat SaaS fees.
- API middlemen and markups.
- Queue time on someone else's GPU.
- A weekend in the terminal.
questions, answered
Straight answers before you deploy
The six things everyone asks, answered the way we would want them answered.
Do these plans include a GPU?
No — every stack is CPU-first and priced accordingly (from $5.75/mo). CPU inference handles quantized LLMs, Whisper-class speech and image models at useful speeds. If you outgrow it, the same box upgrades to 16 vCPU / 64 GB without a reinstall.
How fast is “live in 10 minutes”?
The stack is pre-installed on the image. Pick your size, deploy from the portal, and you are SSHing into a working installation in about 5–10 minutes. Full root from the first boot.
Is my data private?
It is your own KVM virtual machine with full root. Models, chats, vectors and logs stay on your box — no shared inference, no telemetry, no content filters, no training on your data.
Where do the servers live?
Tampa, Florida (US-East) — our own racks on ARPHost infrastructure: 2N power, redundant 10 Gbps Tier-1 uplinks and DDoS protection included.
Can I run more than one stack?
Each VPS ships one pre-configured stack, but with full root you can run additional tools alongside it — storage scales to 1 TB of replicated Ceph NVMe.
What happens if I outgrow my plan?
Resize in place — up to 16 vCPU, 64 GB RAM and 1 TB NVMe — without reinstalling your stack or moving your data.
Launch pricing is live. Your first stack is 10 minutes away.
2 TB traffic included · DDoS protection · Tampa, FL (US-East) · full root from first boot