Capordia48 GB per GPU, with a defined scope
The RTX A6000 has 48 GB of ECC GDDR6. Take stock of what occupies memory at peak load: project data, textures, intermediate computations or retained results. Doubling capacity compared with a 24 GB card does not mean that every dimension of a project can be doubled at once.
Keep an input that reproduces your current limit. It will show whether the configuration change solves the targeted problem, then help determine an operating margin from a more demanding case.
Preserve production settings
When moving from an RTX A5000 or RTX 3090, start with the versions and settings the team has already accepted. Validate the result before changing data size or render quality. Staying on the Ampere generation simplifies the comparison scope, but does not replace checking dependencies and the actual environment.
A6000 and 6000 Ada: similar names, two generations
The RTX 6000 Ada also offers 48 GB, on the Ada Lovelace architecture. Compare it if you also want to assess a generation change. If your difficulty is only insufficient capacity, start with a memory test focused on the A6000. Avoid mixing a new architecture, new settings and a new project into a single delivery.
Plan the project scale-up
A 3-day period can be used to verify previously blocking inputs. Over 7 days, plan a full delivery with output checks. Over 30 days, spread out project versions and their validations to keep a record of changes.
Select A6000 batches, the duration and environment preparation, then provide the order contact. Before launching a long run, archive the acceptance project and its settings. They will serve as a shared reference for the other team members.