Workstation Questions, Answered Plainly

If one or a few people need the compute, a workstation on a desk is right. If a whole team needs to hit the same models at once, that's a server. We'll tell you which honestly, even when it's the cheaper one.

It depends on the GPU and memory your work needs. We spec to the job and quote a fixed, one-time number — then show what it replaces in avoided cloud GPU fees so you can see the break-even.

Most desk-side builds pay for themselves faster than owners expect, because the cloud meter never stops and your machine's only ongoing cost is power. We'll run your numbers before you buy.

You bring the workload; we bring the specs. Describe what you run (or want to run) and we translate it into GPU, CPU, RAM, and storage.

Often yes. If your current machine has good bones, we'll add a GPU, RAM, or storage rather than sell you a whole new build.

A direct line to the builder, not a ticket queue. We help with setup, drivers, and questions, and we're a short drive away if it needs hands.

Yes. When the model runs on your machine, your prompts and documents never leave the building. Nothing is sent to a vendor to be retained.

It runs strong open models locally that cover the same everyday tasks — chat, drafting, document Q&A, coding help — without the subscription or the data leaving your office.

Typically a couple of weeks from spec to delivery, depending on parts. It arrives bench-tested with drivers and your runtime ready, so you work day one.

We build any custom PC, but this pillar is tuned for AI, ML, and creative work. If you want a gaming-grade machine too, we'll spec that on the same call.

It can be quiet, but it takes the right cooling. AI work runs the GPU at sustained full load for minutes to hours — very different from bursty gaming — so the cooling and power have to be sized for that, not for a benchmark peak. We tune the build to stay quiet under real load and tell you a realistic noise level for the spec rather than a marketing promise. Our cooling and noise guide covers what to expect.

Yes, if it's planned up front. The platform — case, board, RAM and storage — usually lasts for years, and the GPU is the part that moves fastest, so we spec the power supply, motherboard and cooling so a second card or more RAM drops in later without a rebuild. A single faster, higher-VRAM card is often the better answer than two; our multi-GPU guide explains when a second card actually helps.

Yes. Local generative AI — Flux, Stable Diffusion, ComfyUI — plus 3D render and video editing have their own VRAM and CPU needs, distinct from LLM development. We size a high-VRAM card for diffusion models and a high-core CPU for render, tuned quiet for a studio, so you own the machine and stop paying for cloud render or AI-image credits. See our creator workstations guide.