Can RTX 5090 32GB run NVIDIA-Nemotron-3-Nano-4B-BF16?
NVIDIA · 32 GB GDDR7 · 1792 GB/s bandwidth ·
NVIDIA · 4.0B · model ctx up to 256K
Yes — the RTX 5090 32GB (32 GB GDDR7) can run NVIDIA-Nemotron-3-Nano-4B-BF16. At Q4 with the default 8K context it needs ≈ 4.0 GB VRAM (weights 2.2 GB + KV cache 0.8 GB + 1 GB runtime overhead), which fits within 32 GB. Decode at Q4/8K: ≈ 285.1 tok/s (estimated, batch 1). FP16 (≈ 9.8 GB) also fits, at ≈ 78.4 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
3.6 GB
Yes
285.1est.
Q4
8K default
4.0 GB
Yes
285.1est.
Q4
32K
6.4 GB
Yes
285.1est.
FP16
4K
9.4 GB
Yes
78.4est.
FP16
8K default
9.8 GB
Yes
78.4est.
FP16
32K
12.2 GB
Yes
78.4est.
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured
anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s
means the model is far beyond this card (offload-only territory).
VRAM breakdown at 8K context
Quant
Weights
KV cache
Overhead
Total needed
RTX 5090 32GB VRAM
Q4
2.2 GB
0.8 GB
1 GB
4.0 GB
32 GB
FP16
8.0 GB
0.8 GB
1 GB
9.8 GB
32 GB
Other GPUs that run NVIDIA-Nemotron-3-Nano-4B-BF16