What GPU do I need to run nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-FP8?
13.2B parameters, published in F8_E4M3. View on Hugging Face
NVIDIA-Nemotron-Nano-12B-v2-VL-FP8 is published by nvidia on Hugging Face, with 125,728 downloads and 51 likes to date. It's a unlisted-architecture model built for image-text-to-text, published natively in F8_E4M3.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 caveat: requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run NVIDIA-Nemotron-Nano-12B-v2-VL-FP8 at its published (F8_E4M3) precision: 1× RTX 5060 Ti on simplepod, at $0.100/hr per GPU ($0.100/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More nvidia models
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