Can Gaudi 3 128GB run NVIDIA-Nemotron-3-Nano-4B-BF16?
Intel · 128 GB HBM2e · 3276 GB/s bandwidth ·
NVIDIA · 4.0B · model ctx up to 256K
Yes — the Gaudi 3 128GB (128 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 128 GB. Decode at Q4/8K: ≈ 521.2 tok/s (estimated, batch 1). FP16 (≈ 9.8 GB) also fits, at ≈ 143.3 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
521.2est.
Q4
8K default
4.0 GB
Yes
521.2est.
Q4
32K
6.4 GB
Yes
521.2est.
FP16
4K
9.4 GB
Yes
143.3est.
FP16
8K default
9.8 GB
Yes
143.3est.
FP16
32K
12.2 GB
Yes
143.3est.
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
Gaudi 3 128GB VRAM
Q4
2.2 GB
0.8 GB
1 GB
4.0 GB
128 GB
FP16
8.0 GB
0.8 GB
1 GB
9.8 GB
128 GB
Other GPUs that run NVIDIA-Nemotron-3-Nano-4B-BF16