What GPU do I need to run nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16?

123.6B parameters, published in BF16. View on Hugging Face

Set up NVIDIA-Nemo…r-120B-A12B-BF16
123.6B
Parameters
BF16
Native precision
NemotronHForCausalLM
Architecture
text-generation
Pipeline

NVIDIA-Nemotron-3-Super-120B-A12B-BF16 is published by nvidia on Hugging Face, with 1,056,440 downloads and 423 likes to date. It's a NemotronHForCausalLM model built for text-generation, published natively in BF16.

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.

Precision
Weight size
Required VRAM
Cheapest live fit
GPUs needed
Est. $/hr (full fit)
BF16
230.2 GB
276.3 GB
RTX A6000 (runpod)
6
$1.98/hr
FP8 (quantized)
115.1 GB
138.1 GB
7
$1.26/hr
INT4 (quantized)
57.6 GB
69.1 GB
RTX PRO 6000 (simplepod)
1
$1.00/hr
cheaper alt.
RTX 8000 (akash)
2
$0.441/hr

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 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-3-Super-120B-A12B-BF16 at its published (BF16) precision: 6× RTX A6000 on runpod, at $0.330/hr per GPU ($1.98/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.

NVIDIA-Nemotron-3-Super-120B-A12B-BF16: common questions

Can NVIDIA-Nemotron-3-Super-120B-A12B-BF16 run on a single GPU?

No. At BF16 it needs 276.3 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest capable card in the live feed is a 48.0 GB RTX A6000, and it takes 6 of them.

How many GPUs do I need to run NVIDIA-Nemotron-3-Super-120B-A12B-BF16?

6 at BF16. It needs 276.3 GB of VRAM and the cheapest capable live offer is a 48.0 GB RTX A6000 on runpod, so 6 of them come to $1.98/hr in total.

Does quantizing NVIDIA-Nemotron-3-Super-120B-A12B-BF16 lower the GPU bill?

Yes. At BF16 the cheapest live fit is 6 RTX A6000 cards on runpod at $1.98/hr. At INT4 (quantized) it drops to one RTX PRO 6000 on simplepod at $1.00/hr, provided a quantized checkpoint exists for it.

Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.

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