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Can Titan V 12GB run Qwen3.5-9B?

NVIDIA · 12 GB HBM2 · 652.8 GB/s bandwidth · Alibaba · 8.95B · model ctx up to 256K

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 Qwen3.5-9B. At Q4 with the default 8K context it needs ≈ 6.15 GB VRAM (weights 4.92 GB + KV cache 0.22 GB + 1 GB runtime overhead), which fits within 12 GB. Decode at Q4/8K: ≈ 46.4 tok/s (estimated, batch 1). FP16 needs ≈ 19.12 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)
Q44K6.03 GBYes46.4 ± est.
Q48K default6.15 GBYes46.4 ± est.
Q432K6.82 GBYes46.4 ± est.
FP164K19.01 GBNo14.5 ± est.
FP168K default19.12 GBNo14.3 ± est.
FP1632K19.79 GBNo13.4 ± 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
Q44.92 GB0.22 GB1 GB6.15 GB12 GB
FP1617.9 GB0.22 GB1 GB19.12 GB12 GB

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