Yes, if the model fits in its 80 GB of memory — VRAM capacity decides which models load at all, while its 2039 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 A100 80GB SXM have?

NVIDIA A100 80GB SXM has 80 GB of video memory with 2039 GB/s of memory bandwidth and a 400 W TDP , per the specification values in our hardware database.

Is the NVIDIA A100 80GB SXM worth it for AI workloads?

Its value depends on whether your models fit in 80 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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