← AI Hashrate 中文

Can Titan V 12GB run gemma-4-E2B-it?

NVIDIA · 12 GB HBM2 · 652.8 GB/s bandwidth · Google · 5.1B · model ctx up to 128K

AA · GreatComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA

Yes — the Titan V 12GB (12 GB HBM2) can run gemma-4-E2B-it. At Q4 with the default 8K context it needs ≈ 4.83 GB VRAM (weights 2.81 GB + KV cache 1.02 GB + 1 GB runtime overhead), which fits within 12 GB. Decode at Q4/8K: ≈ 81.5 tok/s (estimated, batch 1). FP16 needs ≈ 12.22 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

QuantContextVRAM neededFits?tok/s (decode)
Q44K4.32 GBYes81.5 ± est.
Q48K default4.83 GBYes81.5 ± est.
Q432K7.88 GBYes81.5 ± est.
FP164K11.71 GBYes22.4 ± est.
FP168K default12.22 GBNo61.5 ± est.
FP1632K15.28 GBNo39.3 ± 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).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededTitan V 12GB VRAM
Q42.81 GB1.02 GB1 GB4.83 GB12 GB
FP1610.2 GB1.02 GB1 GB12.22 GB12 GB

Other GPUs that run gemma-4-E2B-it

All GPUs for gemma-4-E2B-it →

Other models for the Titan V 12GB

All models on the Titan V 12GB →