Now configuring RTX PRO 6000 Blackwell & HGX B300

AI compute,
built to order.

Tell us the models you want to run. We help you size the system, install the AI stack, test it before it ships, and send it ready to run. From a 2-GPU desk-side workstation to an 8-GPU NVIDIA HGX server.

Innfuse water-cooled workstation illustration
29Systems
1–8GPUs per system
$2,860From
24–48 hFirm quote
Ready for your stack
Ubuntu LTSNVIDIA CUDAPyTorchvLLMOllamallama.cppDockerJupyterLabRAPIDSSLURMHugging FaceTensorRT-LLM

Why Innfuse

Your outcome

Your models, on your own hardware

Tell us the models you want to run and at what precision. We help you size the smallest system that fits, so you pay for the GPU memory you need, not the most we can sell.

Confidence

Tested before it ships

Every system we build runs a 24–48 hour burn-in and must pass before it ships. Serial numbers of the major parts are recorded, and parts that fail within 14 days of delivery are covered by our dead-on-arrival terms.

Speed

A firm price, fast

A firm quote at confirmed supplier prices, usually within 24–48 hours, so the price you accept is the price you pay. Systems typically ship 1–3 weeks after payment; water-cooled Hydro 2–4 weeks.

Less effort

Ready to run on day one

Ubuntu with the NVIDIA driver, CUDA and the frameworks you choose already installed, a quick-start guide for every product line, and an AI technical assistant for setup questions.

Product lines

All 29 systems →

Popular systems

How buying works

Quote & order terms →
  1. 01Configure

    Pick a system and configure it online. You see an estimate as you go.

  2. 02Firm quote, usually in 24–48 h

    We confirm live supplier pricing for your exact build and send a fixed quote.

  3. 03Pay in full

    Accept by paying the quoted amount by wire, ACH, card or prepaid PO.

  4. 04Built, tested, shipped

    We order parts promptly, usually the same business day, then assemble, burn in and ship.

Not sure which system fits?

Ask our AI technical assistant (bottom right) to size a system for your models, or describe your workload in the quote form.

Request a quote