Your Own Custom AI Server, Start to Finish
Here is what a server in your own office can run: private chat models for the whole staff, document search across your files, and inference that never touches a vendor's cloud. We spec it to your workload, build it by hand in Texas, burn it in, and install it on-site — so day one, the AI your business depends on is hardware you actually own.
Most businesses meet AI through a monthly login
It works until the bill climbs with every new seat, the rate limits hit mid-deadline, and someone in compliance asks where the documents go.
Renting intelligence means renting the rules too — what model you get, how fast, and whether your data is retained. A custom server ends all three problems at once.
Spec'd to your actual workload
We size the GPU, RAM, and storage to what you'll run — chat, RAG, document intake — not a catalog tier.
Hand-built and burn-in tested
Every server is assembled and stress-tested on the bench before it ships, so the hardware is proven before it leaves the shop.
On-prem, on your network
It runs on your LAN. No prompt, file, or model leaves the building — with an optional air-gap if you want it.
Installed and supported in Texas
We deliver, rack or place it, configure it, and stay on call. A builder, not a ticket queue.
What a custom build includes
| Layer | What you own | Why it matters |
|---|---|---|
| Compute | NVIDIA GPU(s), sized to workload | Runs the models you pick, no rate limits |
| Memory / Storage | ECC RAM + NVMe, room to grow | Bigger context, bigger document sets |
| Software | Private model runtime, your apps | No vendor lock-in, any open model |
| Network | On your LAN, optional air-gap | Data stays in the building |
| Support | Texas-based, direct line | A builder, not a ticket queue |
Need the raw horsepower spelled out? See GPU AI servers, or read more on custom AI servers on the main site.
Inside the spec sheet
A custom AI server is five decisions that have to fit together. Here is what each part does and where to dig deeper — this page is the hub for the whole spec cluster.
GPU
The most important and most expensive part — its VRAM sets the largest model you can run on one card.
Compare the cards →ECC RAM
Error-correcting system memory for long-running stability; a good rule of thumb is roughly 2× total VRAM.
Storage & RAM guide →NVMe / RAID
Fast solid-state storage holds your models and document sets and loads them into VRAM quickly; RAID adds speed or protection.
Storage & RAID guide →PSU & power
The build has to fit your building — a single 600W GPU is fine on a normal circuit; multi-GPU wants dedicated power.
Power & cooling →Cooling
Heat equals watts; a closet build often wants a mini-split, a rack wants front-to-back airflow.
Power & cooling →Form factor
Tower or rack — most small offices start with a tower and grow into a rack only when they outgrow it.
Rack vs tower →Three build tiers at a glance
A rough map of how the tiers differ by the kind of GPU and VRAM they carry and the work they suit. Every tier is owned outright. Prices are planning ranges to verify at quote — never a fixed quote.
| Tier | GPU & VRAM | Suits | ~Build range | Ownership |
|---|---|---|---|---|
| Starter | One consumer card (24–32GB) | Smaller 8B–32B models, lean budgets, a small team | ~$7,500 | Owned outright |
| Business | One 96GB pro card | A 70B-class model on one card for the whole office | ~$15,000 | Owned outright |
| Multi-GPU | Multiple GPUs / data-center class | Heavy concurrency or very large models | ~$30,000+ | Owned outright |
Ranges are internal planning estimates for 2025–2026 and must be confirmed per quote. Not sure which tier serves your headcount? See how many people one server serves.
Built and installed across Fort Bend County
We deliver and set up custom AI servers on-site in Katy, Fulshear and across the Houston metro, then stay on call afterward — the team that built it is the team that picks up the phone. See our Texas service areas.
Custom build questions
What exactly do I own when you build a custom AI server?+
The whole thing — the hardware, the operating system, and the open models installed on it. There is no lease and no per-seat meter. After install it is an asset on your books, not a line item on a recurring invoice.
How long does a custom AI server build take?+
Most builds run a few weeks from spec to on-site install: a day or two to finalize the spec, sourcing and assembly, a burn-in period to catch any weak hardware, then delivery and setup in your office.
Can a custom server run more than one AI model at a time?+
Yes. We size the build so it can host several open models and serve them to the whole team at once — a chat model, a document-search model, and a coding model can all live on the same box.
What happens if a part fails after install?+
You call us, in Texas, and we handle it. Because you own the hardware we can swap a drive or GPU directly — there is no vendor approval queue between you and a fix.
Do I need a server room or special cooling?+
Usually no for a single-server office build — it fits in a closet or under-desk rack with normal airflow. Larger multi-GPU builds we plan around your space during the on-site visit.
How much RAM and storage does a custom AI server need?+
A good rule of thumb is system RAM of roughly 2× the total VRAM, plus fast NVMe storage to hold your models and document sets and load them quickly. We size both to your build — see our storage and RAID guide for the details.
Can you build in room to grow?+
Yes. We spec headroom — spare GPU slots, power, cooling, and storage — so you add capacity as usage grows instead of replacing the machine. If you are sizing for a growing team, our concurrency guide walks through how many people one server serves.
More on keeping it locked down with private AI infrastructure, or back to AI Servers.
Let's build the server your business owns
Tell us your workload and we'll spec, build, burn-in, and install a custom AI server on-site — no monthly-fee pitch.