A GPU budget is best decided around a shared result.

Give the request a concrete shape

Describe the problem in one sentence, then name the expected deliverable. "Test an assistant that finds five types of information in our procedures" is more actionable than "do AI." Then list the software, the permitted data, the person responsible for testing, and the person who will judge the result. That way, everyone can discuss the same scope.

Choose a few representative cases and define what will count as a success. For an assistant, prepare expected answers and requests it should recognize it cannot answer. For images, define the dimensions, the format, and the flaws that would make an output unusable. These criteria must exist before comparing configurations.

Compare two scenarios, not fifteen cards at once

Pick one configuration that meets the software's requirements, then a second that addresses a plausible limitation: more memory, for example. For each one, present the model, the memory per GPU, the number of batches, and the total for the period. A comparison becomes readable when a colleague can explain why the more expensive option would be useful.

Do not confuse several GPUs with a single larger memory. The application must be designed or configured to distribute its work across the cards. If your team has a process built for a single GPU, a card with more memory may be a more relevant comparison than a batch containing several cards.

Match the 3, 7, or 30 days to your team's pace

A three-day trial works best if the data, the access, and the person responsible for checking are ready. Seven days let you organize a first run, a review, and a restart. Thirty days suit a series of iterations spread over several weeks. Avoid buying a period that coincides with the absence of the only person able to validate the outputs.

Set up a small calendar with four milestones: preparation complete, first result, decision to continue, and file retrieval. Tie the total package cost to that period. Your project budget also includes the human time for cleaning, evaluating, and correcting; the GPU price alone does not describe the cost of an experiment.

Designate a contact for order tracking

Choose the person who registers the account and enters their first name, last name, and email. They keep the order reference and the summary in the project folder shared by the team. Tracking access is tied to their BriefGPU account: they can retrieve it from another browser with their email and password. An email alone cannot open orders.

Crypto payment is made without an ID document or a KYC procedure. After the transfer, the contact uses "I've paid" on the relevant request, then follows its verification. For your internal organization, note who prepares the payment and who checks the expense. This division is a team working method, independent of the order form.

Close out the trial with an actionable decision

At the end, gather the results, parameters, and observations in a short note. Distinguish model flaws, data issues, and the limits of your preparation. Then decide whether to continue, reduce the scope, or stop. BriefGPU does not inspect the contents of your files, prompts, or computations; your team therefore organizes its own review and backups.