The right hardware for private AI and automation.
Some AI and automation workloads need more than a normal office computer. Systm helps you choose, configure and support the right hardware so your systems run reliably and your data stays under control.
30-minute intro call · No deck · Your data stays put.
We size the hardware to your workload, not to a fixed catalogue. These are the four classes we deploy most often - pick one, mix two, or start small and graduate as usage grows.
01 - automation
Automation Servers
Always-on · Compact footprint
The quiet engine room behind your Systm. Compact, always-on boxes that host your workflows and keep the integrations between your tools humming. Sized to your team, and easy to grow into when usage picks up.
02 - AI Inference
Local AI Systems
On-prem · Your models
Hardware that runs open language models inside your network. From a starter unit good for a small team, up to a desktop-class supercomputer that handles the largest open models with multiple users at once.
03 - Data
Private Data Setups
On-prem · Redundant
Where your Systm’s data actually lives. Databases, document stores and backups on hardware you can point at. Redundant by default, sized to your concurrency, mirrored to wherever you choose.
04 - support
Maintenance
SLA · Ongoing care
Every box we ship runs under an SLA. We monitor it, we patch it, and when something fails we have the spare on a shelf. One number to call, for as long as the hardware is in service.
You don’t want to call three vendors when something goes wrong. We supply the hardware, configure it for the Systm stack and keep it healthy. One line to support, for as long as you run it.
We spec the hardware to your workload, source it through trade channels at sensible prices, and handle the paperwork. You don’t need to know which box does what - we’ll match the kit to the workflow and explain the trade-offs in plain language.
Box arrives, we provision it. Operating system, hardening, network, the runtime your Systm needs, and the monitoring we’ll watch it through. You plug it in; it shows up on your network ready to work - we don’t hand you a server and a setup guide.
Every box runs under an SLA. We monitor it from our side - CPU, memory, disk, GPU temperature, errors - and respond before you notice. Hardware fails. Disks die. When that happens, we have the spares and the playbook.
About 2 weeks from spec to deployed for Mac hardware in stock. 3–5 weeks for Nvidia Spark depending on lead time.
We size the hardware to your real workload - concurrent users, model size, peak load. No over-spec, no under-spec.
A line-item quote: hardware at trade pricing, configuration fee, the first year of SLA. No hidden mark-ups, no annual surprise increases.
We order, ship, handle import paperwork and warranty registration. You get one delivery date and one PO.
Each box gets racked in our lab. OS, hardening, network, Docker, runtime, monitoring agent. We test it under load before it leaves.
On-site install, network integration, smoke test. The box plugs in and shows up on your LAN ready for the first automation.
Monitoring, replacements, quarterly checks, firmware rolls. The box just keeps working and when it doesn’t, we handle it.
The honest version. If your question isn’t here,
send it our way - we’ll answer it the same
way.
Want AI without sending everything to the cloud?
Let’s plan the right private setup for your business.