NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth ·
Alibaba · 14.8B · model ctx up to 128K
Yes — the H100 80GB SXM5 (80 GB HBM3) can run Qwen3-14B. At Q4 with the default 8K context it needs ≈ 12.1 GB VRAM (weights 8.14 GB + KV cache 2.96 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 144.0 tok/s (estimated, batch 1). FP16 (≈ 33.56 GB) also fits, at ≈ 39.6 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
10.62 GB
Yes
144.0est.
Q4
8K default
12.1 GB
Yes
144.0est.
Q4
32K
20.98 GB
Yes
144.0est.
FP16
4K
32.08 GB
Yes
39.6est.
FP16
8K default
33.56 GB
Yes
39.6est.
FP16
32K
42.44 GB
Yes
39.6est.
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).