AIserverZone

FAQ

Frequently Asked Questions

Local AI compute servers: sizing, payback, data security, and next steps.

What does AIserverZone do?

We help SMBs and solo studios size a local AI compute server by workload: answer a 6-question wizard and get three reference tiers — Standard / Advanced / Flagship — with price ranges, plus a payback calculator and private, on-prem deployment advice for data that must not leave your network.

How do I pick a tier? Do I need the most expensive one?

No. Size by actual workload: image, video, training, or private inference decide VRAM and GPU count; the number of users and 24/7 operation decide redundancy. The wizard recommends a tier and warns against over-spec when the budget far exceeds the need.

Local vs cloud GPUs — which is better?

It depends on usage: high-frequency production (product images, short videos) usually pays back faster on local hardware — try the payback calculator. Bursty or low-frequency use favors cloud. For 70B-class models or heavy video on a tight budget, the wizard flags when cloud is the smarter choice.

Is local storage secure?

On-prem means models and data run inside your own network — nothing leaves it. That fits compliance needs for official documents, medical records, case files, and internal materials, with auditable, traceable history.

Can one machine handle images, video, copywriting, and a knowledge base?

It depends on the config: copywriting, knowledge-base Q&A, and code/data tasks mostly need CPU and RAM, which most builds handle. Image, video, and training are driven by GPU load. We size by your heaviest regular workload and only charge for compute you actually use.

Where do the payback calculator numbers come from?

It is an illustrative estimate: daily revenue minus electricity = daily net, times working days per month = monthly net, investment divided by monthly net = months to payback. Adjust the inputs yourself; it is not a return guarantee.

How do I ask a question or place an order?

Finish the wizard → leave your contact (WeChat / email / WhatsApp) on the results page → we reply within 1 business day with concrete sizing advice and delivery options.