Yes — the Titan V 12GB (12 GB HBM2) can run gemma-4-12b-it. At Q4 with the default 8K context it needs ≈ 9.96 GB VRAM (weights 6.57 GB + KV cache 2.39 GB + 1 GB runtime overhead), which fits within 12 GB. Decode at Q4/8K: ≈ 34.8 tok/s (estimated, batch 1). FP16 needs ≈ 27.29 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy Titan V 12GB on Amazon →
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
8.77 GB
Yes
34.8±est.
Q4
8K default
9.96 GB
Yes
34.8±est.
Q4
32K
17.13 GB
No
48.5±est.
FP16
4K
26.09 GB
No
5.8±est.
FP16
8K default
27.29 GB
No
5.3±est.
FP16
32K
34.46 GB
No
3.3±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).