Ipswich IT Services
AI hardware — quote, supply, build, deploy

Own and run your own AI

Custom AI workstations, multi-GPU servers, and 24/7 datacentre hosting in Springfield. We spec, build and deploy the hardware, so your LLMs run on your terms — not on a third party's.

Local to Ipswich and all of South East Queensland · Microsoft partner · Privacy Act aware · No lock-in

What we build

From a single 24 GB inference box on your desk to a multi-GPU server racked 24/7 in Springfield — every build starts with what you want to run, and a fixed quote before anything ships.

AI workstations

Developer machines built around the GPUs that matter — RTX 4090 and 5090 cards, RTX PRO 6000 for 96 GB VRAM, and dual-GPU builds when your context window says so. Fast NVMe storage, sensible RAM sizing, and cooling that actually holds up under a long fine-tune, not just a benchmark.

Multi-GPU AI servers

Tower and rack builds sized to the workload — from 24 GB single-GPU inference boxes to 96 GB-per-GPU fine-tuning rigs. We handle the boring parts properly: power delivery, thermal headroom, networking, and the cabling so the machine still makes sense when it's open a year from now.

Datacentre hosting — Springfield

Have your AI server hosted 24/7 in our Springfield datacentre. Australian data, business-grade NBN uplink, and a machine that's always on — with a local technician to call instead of a ticket queue. Month-to-month, no lock-in.

AI-ready networking & storage

10/25/100 GbE where it counts, plus NAS and shared storage so your model weights, datasets, and RAG corpora move fast. A slow disk or a 1 GbE bottleneck quietly taxes every token you generate — we size the pipeline to match the metal.

Quote, supply, build, deploy

The whole job, one vendor. You tell us what you want to run; we come back with a spec and a fixed price.

1

Quote

We spec the build to the workload you describe — model sizes, context lengths, concurrency — and give you a fixed quote before anything ships.

2

Supply

GPUs move fast up and down the country. We have the channels, we track the stock, and we hold your parts so your build date doesn't drift.

3

Build

Assembled, cabled, cooled and burned in — stress-tested under sustained load, not just powered on for a photo.

4

Deploy

Installed on-prem or racked in Springfield, software stacked — Ollama, vLLM, your stack of choice — and verified before you ever touch it.

What you can run on it

Your hardware, your models, your data. A local stack changes what's reasonable to run — here's the short list.

  • Local LLMs — Llama, Qwen, Mistral and friends via Ollama or vLLM, no per-token calls home.
  • RAG pipelines — your documents, your models, on your hardware. Nothing leaves the building.
  • Fine-tuning — LoRA and QLoRA on the datasets that matter, without renting a cloud lab by the hour.
  • Inference serving — OpenAI-compatible endpoints for your own apps and internal tools.
  • Embedding and vector workloads — build and query the vector index without exporting a single document.

24/7 hosting in Springfield

For the builds that need to be on around the clock, our Springfield datacentre keeps it simple: Australian data, and a local team on the other end.

  • • 24/7 power and cooling, monitored
  • • Business-grade NBN uplink
  • • AU data sovereignty — your weights, data and prompts never leave
  • • Local technician, not a ticket queue
  • • Month-to-month hosting, no lock-in

Why own your stack?

The pitch for running your own LLMs is less about saving money — it's about control.

Privacy

Sensitive data stays on your hardware. Client files, patient-adjacent records, board-level numbers — they never get tokenised and shipped to someone else's API.

No per-token rent

Rent a model and you pay for every token, forever. Own the hardware and your marginal cost is a bit of power — and it doesn't scale with your success.

No third-party terms

The model weights are yours, the data is yours, and no terms of service update can quietly change what your machine is allowed to do with it.

Tell us what you want to run

Send us the model, the workload, and where it needs to live. We'll come back with a spec and a fixed quote — usually within a business day.