What GPU do I need to run nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16?
4.0B parameters, published in BF16. View on Hugging Face
Set up NVIDIA-Nemo…n-3-Nano-4B-BF16NVIDIA-Nemotron-3-Nano-4B-BF16 is published by nvidia on Hugging Face, with 377,865 downloads and 116 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 | 7.4 GB | 8.9 GB | RTX 5060 Ti | 1 | $0.110/hr |
| FP8 (quantized) | 3.7 GB | 4.4 GB | RTX 5060 Ti | 1 | $0.110/hr |
| INT4 (quantized) | 1.9 GB | 2.2 GB | RTX 5060 Ti | 1 | $0.110/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-Nano-4B-BF16 at its published (BF16) precision: 1× RTX 5060 Ti, at $0.110/hr per GPU ($0.110/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-Nano-4B-BF16: common questions
Does NVIDIA-Nemotron-3-Nano-4B-BF16 fit on a 12 GB GPU?
Yes. At BF16 it needs 8.9 GB of VRAM, so a 12 GB card holds it with 3.1 GB to spare. An 8 GB card is not enough for it at BF16.
What is the least VRAM NVIDIA-Nemotron-3-Nano-4B-BF16 can run in?
2.2 GB, at INT4 (quantized), which fits a 6 GB card, against 8.9 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More Nemotron 3 models
- NVIDIA-Nemotron-3-Nano-4B-FP8 (4.0B, F8_E4M3)
- NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 (31.6B, BF16)
- NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 (31.6B, BF16)
- NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16 (31.6B, BF16)
- Fastino-Nemotron-3.5-Lightning-Healthcare (31.6B, BF16)
Related reading: H100 pricing and specs, The best GPUs for AI, ranked, and Best GPU for LLM inference.
