Yes — the Gaudi 3 128GB (128 GB HBM2e) can run gemma-3-27b-it. At Q4 with the default 8K context it needs ≈ 21.55 GB VRAM (weights 15.07 GB + KV cache 5.48 GB + 1 GB runtime overhead), which fits within 128 GB. Decode at Q4/8K: ≈ 76.1 tok/s (estimated, batch 1). FP16 (≈ 61.28 GB) also fits, at ≈ 20.9 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
18.81 GB
Yes
76.1±est.
Q4
8K default
21.55 GB
Yes
76.1±est.
Q4
32K
37.99 GB
Yes
76.1±est.
FP16
4K
58.54 GB
Yes
20.9±est.
FP16
8K default
61.28 GB
Yes
20.9±est.
FP16
32K
77.72 GB
Yes
20.9±est.
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).