Nvidia RTX 4090 vs A5500 vs A4500

Hi there,

Our team is looking into workstations to power an installation that should run 24/7.
We need to output visuals to three Full HD Monitors and we are possibly going to run graphics-intense shaders and particles, as well as 3D geometry.

We are not completely sure if an A5500 (16GB GDDR6) with 64GB RAM would be worth ~1000€ more compared to the RTX 4090 (24GB GDDR6X) with 32GB RAM.

When it comes to the 4500 (20GB GDDR6) with 64GB RAM, should we consider this one as well?

Would appreciate any help!


4090: https://www.notebooksbilliger.de/hyrican+diamond+wt+6973+806180
A4500: https://www.notebooksbilliger.de/lenovo+thinkstation+p360+tower+30fm0083ge+776424
A5500: https://www.notebooksbilliger.de/lenovo+thinkstation+p3+ultra+cff+30ha000mge+817413

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Quadro naming has gotten a bit confusing. The A5500 A4500 is the Ampere series GPU (last generation), while the 4090 is the Ada generation (new one). The Quadros for the Ada are called ‘RTX 5000 Ada’ etc.
So if the naming for those is correct, then the 4090 will be significantly more powerful. The question is if you need the extra GPU RAM. That all depends on the project you are working on.

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Ah I understand! Thanks for the clarification.

I also found an offer with an RTX A4000 ADA 20GB at a similar price to the 4090. Which one would you recommend in that case?

It depends if you need Quadro features, or if you need the extra GPU RAM. There is no ‘right’ answer, totally depends on your project.

Keep in mind the 4000 is a very low power card, while the 4090 is a very high power card. The 6000 is closer matches to the 4090 in terms of processing power.

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Awesome thanks, I think the 4090 will probably be the right choice for us in that case. We are not completely sure what our project will entail in terms of visuals but I’m confident that the lower price and high perfomance will suit our project best.

hi @malcom can you detail shortly in which case the GPU ram is important?

Each TOP you use will use up GPU RAM, and the large the size of the textures the more GPU RAM will be used up. If you are using enough that you run out of RAM, then you can get crashes or lost images.

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