Can A100 80GB SXM4 run NVIDIA-Nemotron-3-Nano-4B-BF16?
NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth ·
NVIDIA · 4.0B · model ctx up to 256K
Yes — the A100 80GB SXM4 (80 GB HBM2e) 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 80 GB. Decode at Q4/8K: ≈ 324.4 tok/s (estimated, batch 1). FP16 (≈ 9.8 GB) also fits, at ≈ 89.2 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
324.4est.
Q4
8K default
4.0 GB
Yes
324.4est.
Q4
32K
6.4 GB
Yes
324.4est.
FP16
4K
9.4 GB
Yes
89.2est.
FP16
8K default
9.8 GB
Yes
89.2est.
FP16
32K
12.2 GB
Yes
89.2est.
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
A100 80GB SXM4 VRAM
Q4
2.2 GB
0.8 GB
1 GB
4.0 GB
80 GB
FP16
8.0 GB
0.8 GB
1 GB
9.8 GB
80 GB
Other GPUs that run NVIDIA-Nemotron-3-Nano-4B-BF16