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Can Titan Xp 12GB run gemma-4-26B-A4B-it?

NVIDIA · 12 GB GDDR5X · 548 GB/s bandwidth · Google · 25.2B (active 3.8B) · MoE · model ctx up to 256K

FF · No FitComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA

No — gemma-4-26B-A4B-it at Q4 needs ≈ 15.24 GB even at 4K context, beyond the Titan Xp 12GB's 12 GB GDDR5X. It would only run with heavy CPU/disk offload. Decode at Q4/8K: ≈ 154.1 tok/s (estimated, batch 1). FP16 needs ≈ 52.16 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.

Cheapest GPU that can: H100 80GB SXM5 See fit details →or☁️ Rent on RunPod from ~$0.50/hr

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K15.24 GBNo161.9 ± est.
Q48K default15.62 GBNo154.1 ± est.
Q432K17.9 GBNo117.3 ± est.
FP164K51.78 GBNo
FP168K default52.16 GBNo
FP1632K54.44 GBNo

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 Xp 12GB VRAM
Q413.86 GB0.76 GB1 GB15.62 GB12 GB
FP1650.4 GB0.76 GB1 GB52.16 GB12 GB

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