Yes, if the model fits in its 32 GB of memory — VRAM capacity decides which models load at all, while its 576 GB/s of bandwidth decides how fast tokens generate. With 24 GB or more it can hold large quantized models such as 70B-class LLMs in reduced precision, and our model pages list exact VRAM fits per model.

How much VRAM does the NVIDIA RTX 5000 Ada have?

NVIDIA RTX 5000 Ada has 32 GB of video memory with 576 GB/s of memory bandwidth and a 250 W TDP , per the specification values in our hardware database.

Is the NVIDIA RTX 5000 Ada worth it for AI workloads?

At a $2,250 MSRP, its value depends on whether your models fit in 32 GB. Compare its VRAM and bandwidth against your target models with our VRAM calculator, or see how it stacks up in head-to-head comparisons.

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