NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth ·
Google · 8.0B · model ctx up to 128K
Yes — the H100 80GB SXM5 (80 GB HBM3) can run gemma-4-E4B-it. At Q4 with the default 8K context it needs ≈ 7.0 GB VRAM (weights 4.4 GB + KV cache 1.6 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 266.5 tok/s (estimated, batch 1). FP16 (≈ 18.6 GB) also fits, at ≈ 73.3 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
6.2 GB
Yes
266.5est.
Q4
8K default
7.0 GB
Yes
266.5est.
Q4
32K
11.8 GB
Yes
266.5est.
FP16
4K
17.8 GB
Yes
73.3est.
FP16
8K default
18.6 GB
Yes
73.3est.
FP16
32K
23.4 GB
Yes
73.3est.
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).